Jekyll2021-05-04T02:56:44+00:00https://taruma.github.io/vivaldi/feed.xmlvivaldi projectDocumentation + Python + Machine Learning + Sharing = ❤Taruma S. Megariansyahhi@taruma.infoDaftar Artikel2020-02-23T00:00:00+00:002020-02-23T00:00:00+00:00https://taruma.github.io/vivaldi/daftar-artikel<div align="center"> <div class="Toast Toast--warning googoo"> <span class="Toast-icon"><svg class="octicon octicon-alert" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8.22 1.754a.25.25 0 00-.44 0L1.698 13.132a.25.25 0 00.22.368h12.164a.25.25 0 00.22-.368L8.22 1.754zm-1.763-.707c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0114.082 15H1.918a1.75 1.75 0 01-1.543-2.575L6.457 1.047zM9 11a1 1 0 11-2 0 1 1 0 012 0zm-.25-5.25a.75.75 0 00-1.5 0v2.5a.75.75 0 001.5 0v-2.5z"></path></svg></span> <span class="Toast-content">Tulisan ini merupakan catatan pribadi.<br />Dan dapat berubah-ubah.</span> </div> </div> <p>Halaman ini berisikan daftar artikel yang saya gunakan/kumpulkan.</p> <hr /> <h2 class="no_toc" id="informasi-tulisan">Informasi Tulisan</h2> <table> <tbody> <tr> <td>Jenis Halaman</td> <td>Koleksi, Catatan Pribadi</td> </tr> <tr> <td>Unduh</td> <td><a href="https://github.com/taruma/vivaldi/blob/master/docs/_data/list_artikel.csv">CSV</a>, <a href="https://github.com/taruma/vivaldi/blob/master/docs/_data/list_artikel_excel.xlsx">Excel</a></td> </tr> </tbody> </table> <hr /> <p>Saya membagi jenis artikel menjadi 3 bagian:</p> <ul> <li><strong>RAINDROP</strong>: Layanan <a href="https://raindrop.io/">raindrop</a> untuk menyimpan seluruh halaman yang saya tandai (<em>bookmark</em>).</li> <li><strong>BLOGPOST</strong>: Berupa tulisan <em>blogpost</em>.</li> <li><strong>CHEATSHEET</strong>: Berupa dokumen berisikan ringkasan materi.</li> </ul> <p><span class="text-small text-italic"><b>Catatan:</b> Klik kategori artikel (raindrop/blogpost/…) untuk melihat daftar artikel.</span></p> <div class="border d-flex flex-column my-3 border-blue"> <details> <summary class="Header bg-gray-dark p-2 pl-3 flex-justify-center"><span class="f3 text-bold text-white">RAINDROP</span></summary> <div class="p-2 pl-3 border"> <span class="State State--red mx-2">1</span> <span class="f4-light text-bold">Coding</span> <a href="https://raindrop.io/collection/7877129" class="btn btn-outline btn-sm my-1" target="_blank">Lihat</a><br /> <span class="text-small text-gray-light text-italic">Berisikan koleksi halaman yang berhubungan dengan pemrograman</span> </div> <div class="p-2 pl-3 border"> <span class="State State--red mx-2">2</span> <span class="f4-light text-bold">Data Science</span> <a href="https://raindrop.io/collection/6309263" class="btn btn-outline btn-sm my-1" target="_blank">Lihat</a><br /> <span class="text-small text-gray-light text-italic">Berisikan koleksi halaman yang berhubungan dengan dunia data science atau machine learning</span> </div> </details> </div> <div class="border d-flex flex-column my-3 border-blue"> <details> <summary class="Header bg-gray-dark p-2 pl-3 flex-justify-center"><span class="f3 text-bold text-white">BLOGPOST</span></summary> <div class="p-2 pl-3 border"> <span class="State State--red mx-2">1</span> <span class="f4-light text-bold">The Neural Network Zoo</span> <a href="https://www.asimovinstitute.org/neural-network-zoo/" class="btn btn-outline btn-sm my-1" target="_blank">Lihat</a><br /> <span class="text-small text-gray-light text-italic">Menyajikan berbagai jenis neural network</span> </div> </details> </div> <div class="border d-flex flex-column my-3 border-blue"> <details> <summary class="Header bg-gray-dark p-2 pl-3 flex-justify-center"><span class="f3 text-bold text-white">CHEATSHEET</span></summary> <div class="p-2 pl-3 border"> <span class="State State--red mx-2">1</span> <span class="f4-light text-bold">DataCamp Cheat Sheet</span> <a href="https://www.datacamp.com/community/data-science-cheatsheets" class="btn btn-outline btn-sm my-1" target="_blank">Lihat</a><br /> <span class="text-small text-gray-light text-italic">Kumpulan cheatsheet dari komunitas DataCamp</span> </div> <div class="p-2 pl-3 border"> <span class="State State--red mx-2">2</span> <span class="f4-light text-bold">Python3 in one pic</span> <a href="https://github.com/coodict/python3-in-one-pic" class="btn btn-outline btn-sm my-1" target="_blank">Lihat</a><br /> <span class="text-small text-gray-light text-italic">Ringkasan Python 3</span> </div> </details> </div>Taruma S. Megariansyahhi@taruma.infoTulisan ini merupakan catatan pribadi.Dan dapat berubah-ubah.Daftar Kelas2020-02-22T00:00:00+00:002020-02-22T00:00:00+00:00https://taruma.github.io/vivaldi/daftar-kelas<div align="center"> <div class="Toast Toast--warning googoo"> <span class="Toast-icon"><svg class="octicon octicon-alert" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8.22 1.754a.25.25 0 00-.44 0L1.698 13.132a.25.25 0 00.22.368h12.164a.25.25 0 00.22-.368L8.22 1.754zm-1.763-.707c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0114.082 15H1.918a1.75 1.75 0 01-1.543-2.575L6.457 1.047zM9 11a1 1 0 11-2 0 1 1 0 012 0zm-.25-5.25a.75.75 0 00-1.5 0v2.5a.75.75 0 001.5 0v-2.5z"></path></svg></span> <span class="Toast-content">Tulisan ini merupakan catatan pribadi.<br />Dan dapat berubah-ubah.</span> </div> </div> <p>Halaman ini berisikan daftar kelas/kursus yang saya telah tempuh dan yang sedang diambil.</p> <hr /> <h2 class="no_toc" id="informasi-tulisan">Informasi Tulisan</h2> <table> <tbody> <tr> <td>Jenis Halaman</td> <td>Koleksi, Catatan Pribadi</td> </tr> <tr> <td>Unduh</td> <td><a href="https://github.com/taruma/vivaldi/blob/master/docs/_data/list_course.csv">CSV</a>, <a href="https://github.com/taruma/vivaldi/blob/master/docs/_data/list_course_excel.xlsx">Excel</a></td> </tr> </tbody> </table> <hr /> <h2 class="no_toc" id="daftar-isi">Daftar Isi</h2> <ol id="markdown-toc"> <li><a href="#kelas-yang-sedang-diambil" id="markdown-toc-kelas-yang-sedang-diambil">Kelas yang sedang diambil</a></li> <li><a href="#kelas-yang-selesai" id="markdown-toc-kelas-yang-selesai">Kelas yang selesai</a></li> <li><a href="#kelas-yang-akan-diambil" id="markdown-toc-kelas-yang-akan-diambil">Kelas yang akan diambil</a></li> </ol> <hr /> <div class="Box border border-dashed border-black-fade bg-gray-light my-2"> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Name Kelas</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: Tanggal Selesai">Tanggal Selesai</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: Layanan/MOOC">Layanan/MOOC</span> <span class="Label bg-green" title="Label: Institusi/Penyedia">Institusi/Penyedia</span> <span class="Label Label--gray" title="Label: Tingkat Kesulitan">Tingkat Kesulitan</span> <br /> <span class="f4-light text-italic">Pengajar</span><br /> <!-- BUTTON --> <button aria-disabled="true" class="btn btn-outline btn-sm my-1" type="button">Pranala Kelas</button> <button aria-disabled="true" class="btn btn-primary btn-sm my-1" type="button">Sertifikat</button> <span class="State text-small my-1">Nilai</span> </div> </div> <!-- <div class="Box border border-dashed border-black-fade bg-gray-light my-2"> <div class="Box-row d-flex flex-items-center"> <h4> <b>Nama Kelas</b> <span class="Label bg-yellow text-gray-dark text-small" title="Label: Tanggal Selesai">Tanggal Selesai</span> <br> <span class="Label bg-blue" title="Label: Layanan/MOOC">Layanan/MOOC</span> <span class="Label bg-green" title="Label: Institusi/Penyedia">Institusi/Penyedia</span> <span class="Label Label--gray" title="Label: Tingkat Kesulitan">Tingkat Kesulitan</span> <br> <span class="text-italic h6">Pengajar</span><br> <button aria-disabled="true" class="btn btn-outline btn-sm" type="button">Pranala Kelas</button> <button aria-disabled="true" class="btn btn-primary btn-sm" type="button">Sertifikat</button> <span class="State text-small">Nilai</span> </h4> </div> </div> --> <hr /> <h2 id="kelas-yang-sedang-diambil">Kelas yang sedang diambil</h2> <p>Berikut daftar kelas yang sedang diambil.</p> <div class="border d-flex flex-column my-3 border-blue"> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Python Programmer</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: DataCamp">DataCamp</span> <span class="Label Label--gray" title="Label: Career Track">Career Track</span> <br /> <span class="f4-light text-italic">DataCamp</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.datacamp.com/tracks/python-programmer?version=2" target="_blank">Lihat Kelas</a> </div> </div> <p><span class="Label Label--orange text-mono text-small text-center">Jumlah: 1 Kelas</span></p> <!-- --> <hr /> <h2 id="kelas-yang-selesai">Kelas yang selesai</h2> <p>Berikut daftar kelas yang pernah saya ambil dan selesaikan.</p> <div class="border d-flex flex-column my-3 border-blue"> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Python Programming</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2020-01-01">Jan 2020</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: DataCamp">DataCamp</span> <span class="Label Label--gray" title="Label: Skill Track">Skill Track</span> <br /> <span class="f4-light text-italic">Hugo Bowne-Anderson, Filip Schouwenaars</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.datacamp.com/tracks/python-programming?version=1" target="_blank">Lihat Kelas</a> <a class="btn btn-primary btn-sm my-1" href="https://www.datacamp.com/statement-of-accomplishment/track/3e844f29f9741991b3c3d9d939e10ea4123ee55c" target="_blank">Sertifikat</a> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Using Python for Research</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2019-12-07">Dec 2019</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: edX">edX</span> <span class="Label bg-green" title="Label: Harvard">Harvard</span> <span class="Label Label--gray" title="Label: Intermediate">Intermediate</span> <br /> <span class="f4-light text-italic">Jukka-Pekka "JP" Onnela</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.edx.org/course/using-python-for-research" target="_blank">Lihat Kelas</a> <a class="btn btn-primary btn-sm my-1" href="https://courses.edx.org/certificates/d087c91ec7a4466b95d1410c7f5cf399" target="_blank">Sertifikat</a> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Deep Learning A-Z™: Hands-On Artificial Neural Networks</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2019-08-01">Aug 2019</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: Udemy">Udemy</span> <br /> <span class="f4-light text-italic">Kirill Eremenko, Hadelin de Ponteves</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.udemy.com/course/deeplearning/" target="_blank">Lihat Kelas</a> <a class="btn btn-primary btn-sm my-1" href="https://www.udemy.com/certificate/UC-K81H21ZE/" target="_blank">Sertifikat</a> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">GitHub Ultimate: Master Git and GitHub - Beginner to Expert</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2019-07-24">Jul 2019</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: Udemy">Udemy</span> <br /> <span class="f4-light text-italic">Jason Taylor</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.udemy.com/course/github-ultimate/" target="_blank">Lihat Kelas</a> <a class="btn btn-primary btn-sm my-1" href="https://www.udemy.com/certificate/UC-GEJ4SXUH/" target="_blank">Sertifikat</a> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Machine Learning A-Z™: Hands-On Python &amp; R In Data Science</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2019-04-26">Apr 2019</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: Udemy">Udemy</span> <br /> <span class="f4-light text-italic">Kirill Eremenko, Hadelin de Ponteves</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.udemy.com/course/machinelearning/" target="_blank">Lihat Kelas</a> <a class="btn btn-primary btn-sm my-1" href="https://www.udemy.com/certificate/UC-JP40AR7J/" target="_blank">Sertifikat</a> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Python for Data Science and Machine Learning Bootcamp</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2018-10-25">Oct 2018</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: Udemy">Udemy</span> <br /> <span class="f4-light text-italic">Jose Portilla</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/" target="_blank">Lihat Kelas</a> <a class="btn btn-primary btn-sm my-1" href="https://www.udemy.com/certificate/UC-FH5TUFLB/" target="_blank">Sertifikat</a> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Data Science Research Methods: Python Edition</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2018-10-01">Oct 2018</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: edX">edX</span> <span class="Label bg-green" title="Label: Microsoft">Microsoft</span> <span class="Label Label--gray" title="Label: Intermediate">Intermediate</span> <br /> <span class="f4-light text-italic">Ben Olsen, Tom Carpenter</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.edx.org/course/data-science-research-methods-python-edition-2" target="_blank">Lihat Kelas</a> <span class="State text-small my-1">86</span> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Essential Math for Machine Learning: Python Edition</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2018-10-01">Oct 2018</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: edX">edX</span> <span class="Label bg-green" title="Label: Microsoft">Microsoft</span> <span class="Label Label--gray" title="Label: Intermediate">Intermediate</span> <br /> <span class="f4-light text-italic">Graeme Malcolm</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.edx.org/course/essential-math-for-machine-learning-python-editi-2" target="_blank">Lihat Kelas</a> <span class="State text-small my-1">96</span> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Introduction to Artificial Intelligence (AI)</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2018-10-01">Oct 2018</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: edX">edX</span> <span class="Label bg-green" title="Label: Microsoft">Microsoft</span> <span class="Label Label--gray" title="Label: Introductory">Introductory</span> <br /> <span class="f4-light text-italic">Graeme Malcolm</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.edx.org/course/introduction-to-artificial-intelligence-ai-2" target="_blank">Lihat Kelas</a> <span class="State text-small my-1">90</span> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Data Science Essentials</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2018-08-01">Aug 2018</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: edX">edX</span> <span class="Label bg-green" title="Label: Microsoft">Microsoft</span> <span class="Label Label--gray" title="Label: Intermediate">Intermediate</span> <br /> <span class="f4-light text-italic">Graeme Malcolm, Steve Elston, Cynthia Rudin</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.edx.org/course/data-science-essentials" target="_blank">Lihat Kelas</a> <span class="State text-small my-1">100</span> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Principles of Machine Learning</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2018-07-01">Jul 2018</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: edX">edX</span> <span class="Label bg-green" title="Label: Microsoft">Microsoft</span> <span class="Label Label--gray" title="Label: Intermediate">Intermediate</span> <br /> <span class="f4-light text-italic">Graeme Malcolm, Steve Elston, Cynthia Rudin</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.edx.org/course/principles-of-machine-learning" target="_blank">Lihat Kelas</a> <span class="State text-small my-1">94</span> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Introduction to Python: Creating Scalable, Robust, Interactive Code</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2018-04-02">Apr 2018</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: edX">edX</span> <span class="Label bg-green" title="Label: Microsoft">Microsoft</span> <span class="Label Label--gray" title="Label: Intermediate">Intermediate</span> <br /> <span class="f4-light text-italic">Eric Camplin, Anas Salah Eddin, Paige Bailey</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.edx.org/course/introduction-to-python-creating-scalable-robust-in" target="_blank">Lihat Kelas</a> <span class="State text-small my-1">100</span> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Introduction to Python: Fundamentals</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2018-04-02">Apr 2018</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: edx">edx</span> <span class="Label bg-green" title="Label: Microsoft">Microsoft</span> <span class="Label Label--gray" title="Label: Introductory">Introductory</span> <br /> <span class="f4-light text-italic">Eric Camplin</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.edx.org/course/introduction-to-python-fundamentals" target="_blank">Lihat Kelas</a> <span class="State text-small my-1">97</span> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Introduction to Python: Absolute Beginner</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2018-04-01">Apr 2018</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: edX">edX</span> <span class="Label bg-green" title="Label: Microsoft">Microsoft</span> <span class="Label Label--gray" title="Label: Introductory">Introductory</span> <br /> <span class="f4-light text-italic">Eric Camplin</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.edx.org/course/introduction-to-python-absolute-beginner" target="_blank">Lihat Kelas</a> <span class="State text-small my-1">96</span> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Research Methods: An Engineering Approach</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2018-02-01">Feb 2018</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: edX">edX</span> <span class="Label bg-green" title="Label: University of the Witwatersrand, Johannesburg">University of the Witwatersrand, Johannesburg</span> <span class="Label Label--gray" title="Label: Introductory">Introductory</span> <br /> <span class="f4-light text-italic">Ivan Hofsajer</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.edx.org/course/research-methods-an-engineering-approach" target="_blank">Lihat Kelas</a> <span class="State text-small my-1">98</span> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Introduction to Python for Data Science</span> <span class="Label bg-yellow text-gray-dark text-small" title="Label: 2017-09-01">Sep 2017</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: edX">edX</span> <span class="Label bg-green" title="Label: Microsoft">Microsoft</span> <span class="Label Label--gray" title="Label: Introductory">Introductory</span> <br /> <span class="f4-light text-italic">Filip Schouwenaars, Jonathan Sanito</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.edx.org/course/introduction-to-python-for-data-science-2" target="_blank">Lihat Kelas</a> <span class="State text-small my-1">97</span> </div> </div> <p><span class="Label Label--orange text-mono text-small text-center">Jumlah: 16 Kelas</span></p> <!-- --> <hr /> <h2 id="kelas-yang-akan-diambil">Kelas yang akan diambil</h2> <p>Berikut daftar kelas yang akan diambil.</p> <div class="border d-flex flex-column my-3 border-blue"> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Machine Learning Practical Workout | 8 Real-World Projects</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: Udemy">Udemy</span> <br /> <span class="f4-light text-italic">Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, Mitchell Bouchard</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.udemy.com/course/deep-learning-machine-learning-practical/" target="_blank">Lihat Kelas</a> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Python for Time Series Data Analysis</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: Udemy">Udemy</span> <br /> <span class="f4-light text-italic">Jose Portilla</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.udemy.com/course/python-for-time-series-data-analysis/" target="_blank">Lihat Kelas</a> </div> <div class="p-2 pl-3 border"> <!-- TITLE --> <span class="f3 text-bold text-italic">Data Scientist</span> <br /> <!-- LABEL --> <span class="Label bg-blue" title="Label: DataCamp">DataCamp</span> <span class="Label Label--gray" title="Label: Career Track">Career Track</span> <br /> <span class="f4-light text-italic">DataCamp</span><br /> <!-- BUTTON --> <a role="button" class="btn btn-outline btn-sm my-1" href="https://www.datacamp.com/tracks/data-scientist-with-python?version=2" target="_blank">Lihat Kelas</a> </div> </div> <p><span class="Label Label--orange text-mono text-small text-center">Jumlah: 3 Kelas</span></p> <!-- -->Taruma S. Megariansyahhi@taruma.infoTulisan ini merupakan catatan pribadi.Dan dapat berubah-ubah.Daftar Program2020-02-22T00:00:00+00:002020-02-22T00:00:00+00:00https://taruma.github.io/vivaldi/daftar-program<div align="center"> <div class="Toast Toast--warning googoo"> <span class="Toast-icon"><svg class="octicon octicon-alert" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8.22 1.754a.25.25 0 00-.44 0L1.698 13.132a.25.25 0 00.22.368h12.164a.25.25 0 00.22-.368L8.22 1.754zm-1.763-.707c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0114.082 15H1.918a1.75 1.75 0 01-1.543-2.575L6.457 1.047zM9 11a1 1 0 11-2 0 1 1 0 012 0zm-.25-5.25a.75.75 0 00-1.5 0v2.5a.75.75 0 001.5 0v-2.5z"></path></svg></span> <span class="Toast-content">Tulisan ini merupakan catatan pribadi.<br />Dan dapat berubah-ubah.</span> </div> </div> <p>Halaman ini berisikan daftar program yang saya gunakan.</p> <hr /> <h2 class="no_toc" id="informasi-tulisan">Informasi Tulisan</h2> <table> <tbody> <tr> <td>Jenis Halaman</td> <td>Koleksi, Catatan Pribadi</td> </tr> <tr> <td>Unduh</td> <td><a href="https://github.com/taruma/vivaldi/blob/master/docs/_data/list_program.csv">CSV</a>, <a href="https://github.com/taruma/vivaldi/blob/master/docs/_data/list_program_excel.xlsx">Excel</a></td> </tr> </tbody> </table> <hr /> <h2 class="no_toc" id="daftar-isi">Daftar Isi</h2> <ol id="markdown-toc"> <li><a href="#program-yang-digunakan" id="markdown-toc-program-yang-digunakan">Program yang digunakan</a></li> <li><a href="#programreferensi-yang-tidak-digunakan" id="markdown-toc-programreferensi-yang-tidak-digunakan">Program/Referensi yang tidak digunakan</a></li> </ol> <hr /> <div class="p-3 border border-dashed border-black-fade bg-gray-light my-2"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">Nama Program</span> <br /> <span class="f5 text-bold text-italic">Nama Makalah</span> <br /> <!-- LABEL --> <span title="Label: Tahun Publikasi" class="Label bg-yellow text-gray-dark">Tahun Publikasi</span> <span title="Label: Publikasi" class="Label bg-blue">Publikasi/Jurnal</span> <span title="Label: URL" class="Label Label--outline">Pranala URL/Situs</span> <span title="Label: DOI" class="Label Label--gray">Pranala DOI</span> <br /> <!-- TEXT --> <span class="text-italic">Penulis</span><br /> </div> <hr /> <h2 id="program-yang-digunakan">Program yang digunakan</h2> <p>Berikut daftar program/referensi/makalah yang digunakan.</p> <div class="border d-flex flex-column my-3 border-red"> <div class="p-2 pl-3 border bg-gray-light"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">hidrokit</span> <br /> <span class="f5 text-bold text-italic">hidrokit: analisis hidrologi dengan python</span> <br /> <!-- LABEL --> <span title="Label: 2019" class="Label bg-yellow text-gray-dark">2019</span> <span title="Label: Zenodo" class="Label bg-blue">Zenodo</span> <span title="Label: URL hidrokit" class="Label Label--outline"><a href="https://github.com/taruma/hidrokit" class="text-bold">SITUS</a></span> <span title="Label: DOI hidrokit" class="Label Label--gray"><a href="http://doi.org/10.5281/zenodo.3276220" class="text-mono">DOI</a></span> <br /> <!-- TEXT --> <span class="text-italic text-small">Megariansyah, Taruma S.</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">HydroErr</span> <br /> <span class="f5 text-bold text-italic">Hydrostats: A Python Package for Characterizing Errors between Observed and Predicted Time Series</span> <br /> <!-- LABEL --> <span title="Label: 2018" class="Label bg-yellow text-gray-dark">2018</span> <span title="Label: Hydrology" class="Label bg-blue">Hydrology</span> <span title="Label: DOI HydroErr" class="Label Label--gray"><a href="https://doi.org/10.3390/hydrology5040066" class="text-mono">DOI</a></span> <br /> <!-- TEXT --> <span class="text-italic text-small">Roberts, W., Williams, G., Jackson, E., Nelson, E., Ames, D.</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">jupyter</span> <br /> <span class="f5 text-bold text-italic">Jupyter Notebooks – a publishing format for reproducible computational workflows</span> <br /> <!-- LABEL --> <span title="Label: 2016" class="Label bg-yellow text-gray-dark">2016</span> <span title="Label: IOS Press" class="Label bg-blue">IOS Press</span> <span title="Label: DOI jupyter" class="Label Label--gray"><a href="https://doi.org/10.3233/978-1-61499-649-1-87" class="text-mono">DOI</a></span> <br /> <!-- TEXT --> <span class="text-italic text-small">Thomas, K., Benjamin, R.-K., Fernando, P., Brian, G., Matthias, B., Jonathan, F., … Team, J. D</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">tensorflow</span> <br /> <span class="f5 text-bold text-italic">TensorFlow: Large-scale machine learning on heterogeneous systems</span> <br /> <!-- LABEL --> <span title="Label: 2015" class="Label bg-yellow text-gray-dark">2015</span> <span title="Label: 12th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 16)" class="Label bg-blue">12th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 16)</span> <span title="Label: URL tensorflow" class="Label Label--outline"><a href="http://tensorflow.org/" class="text-bold">SITUS</a></span> <br /> <!-- TEXT --> <span class="text-italic text-small">Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Rafal Jozefowicz, Yangqing Jia, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Mike Schuster, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng.</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">keras</span> <br /> <span class="f5 text-bold text-italic">Keras</span> <br /> <!-- LABEL --> <span title="Label: 2015" class="Label bg-yellow text-gray-dark">2015</span> <span title="Label: URL keras" class="Label Label--outline"><a href="https://github.com/keras-team/keras" class="text-bold">SITUS</a></span> <br /> <!-- TEXT --> <span class="text-italic text-small">Chollet, F.</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">scikit-learn</span> <br /> <span class="f5 text-bold text-italic">Scikit-learn: Machine Learning in Python</span> <br /> <!-- LABEL --> <span title="Label: 2011" class="Label bg-yellow text-gray-dark">2011</span> <span title="Label: Journal of Machine Learning Research" class="Label bg-blue">Journal of Machine Learning Research</span> <span title="Label: URL scikit-learn" class="Label Label--outline"><a href="http://jmlr.org/papers/v12/pedregosa11a.html" class="text-bold">SITUS</a></span> <br /> <!-- TEXT --> <span class="text-italic text-small">Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">python</span> <br /> <span class="f5 text-bold text-italic">Python for Scientists and Engineers</span> <br /> <!-- LABEL --> <span title="Label: 2011" class="Label bg-yellow text-gray-dark">2011</span> <span title="Label: Computing in Science &amp; Engineering" class="Label bg-blue">Computing in Science &amp; Engineering</span> <span title="Label: URL python" class="Label Label--outline"><a href="http://scitation.aip.org/content/aip/journal/cise/13/2/10.1109/MCSE.2011.36" class="text-bold">SITUS</a></span> <span title="Label: DOI python" class="Label Label--gray"><a href="https://doi.org/10.1109/MCSE.2011.36" class="text-mono">DOI</a></span> <br /> <!-- TEXT --> <span class="text-italic text-small">K. Jarrod Millman and Michael Aivazis</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">numpy</span> <br /> <span class="f5 text-bold text-italic">The NumPy Array: A Structure for Efficient Numerical Computation</span> <br /> <!-- LABEL --> <span title="Label: 2011" class="Label bg-yellow text-gray-dark">2011</span> <span title="Label: Computing in Science &amp; Engineering" class="Label bg-blue">Computing in Science &amp; Engineering</span> <span title="Label: DOI numpy" class="Label Label--gray"><a href="http://dx.doi.org/10.1109/MCSE.2011.37" class="text-mono">DOI</a></span> <br /> <!-- TEXT --> <span class="text-italic text-small">Stéfan van der Walt, S. Chris Colbert and Gaël Varoquaux</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">pandas</span> <br /> <span class="f5 text-bold text-italic">Data Structures for Statistical Computing in Python</span> <br /> <!-- LABEL --> <span title="Label: 2010" class="Label bg-yellow text-gray-dark">2010</span> <span title="Label: Proceedings of the 9th Python in Science Conference" class="Label bg-blue">Proceedings of the 9th Python in Science Conference</span> <span title="Label: URL pandas" class="Label Label--outline"><a href="http://conference.scipy.org/proceedings/scipy2010/mckinney.html" class="text-bold">SITUS</a></span> <br /> <!-- TEXT --> <span class="text-italic text-small">Wes McKinney</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">matplotlib</span> <br /> <span class="f5 text-bold text-italic">Matplotlib: A 2D Graphics Environment</span> <br /> <!-- LABEL --> <span title="Label: 2007" class="Label bg-yellow text-gray-dark">2007</span> <span title="Label: Computing in Science &amp; Engineering" class="Label bg-blue">Computing in Science &amp; Engineering</span> <span title="Label: URL matplotlib" class="Label Label--outline"><a href="http://scitation.aip.org/content/aip/journal/cise/9/3/10.1109/MCSE.2007.55" class="text-bold">SITUS</a></span> <span title="Label: DOI matplotlib" class="Label Label--gray"><a href="https://doi.org/10.1109/MCSE.2007.55" class="text-mono">DOI</a></span> <br /> <!-- TEXT --> <span class="text-italic text-small">John D. Hunter</span><br /> </div> </div> <p><span class="Label Label--orange text-mono text-small text-center">Jumlah: 10 Program</span></p> <h2 id="programreferensi-yang-tidak-digunakan">Program/Referensi yang tidak digunakan</h2> <p>Berikut daftar program/referensi/makalah yang tidak digunakan (dikarenakan hanya mengambil salah satu referensi untuk masing-masing program).</p> <div class="border d-flex flex-column my-3 border-red"> <div class="p-2 pl-3 border bg-gray-light"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">IPython</span> <br /> <span class="f5 text-bold text-italic">IPython: A System for Interactive Scientific Computing</span> <br /> <!-- LABEL --> <span title="Label: 2007" class="Label bg-yellow text-gray-dark">2007</span> <span title="Label: Computing in Science &amp; Engineering" class="Label bg-blue">Computing in Science &amp; Engineering</span> <span title="Label: URL IPython" class="Label Label--outline"><a href="http://scitation.aip.org/content/aip/journal/cise/9/3/10.1109/MCSE.2007.53" class="text-bold">SITUS</a></span> <span title="Label: DOI IPython" class="Label Label--gray"><a href="https://doi.org/10.1109/MCSE.2007.53" class="text-mono">DOI</a></span> <br /> <!-- TEXT --> <span class="text-italic text-small">Fernando Pérez and Brian E. Granger</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">python</span> <br /> <span class="f5 text-bold text-italic">Python for Scientific Computing</span> <br /> <!-- LABEL --> <span title="Label: 2007" class="Label bg-yellow text-gray-dark">2007</span> <span title="Label: Computing in Science &amp; Engineering" class="Label bg-blue">Computing in Science &amp; Engineering</span> <span title="Label: URL python" class="Label Label--outline"><a href="http://scitation.aip.org/content/aip/journal/cise/9/3/10.1109/MCSE.2007.58" class="text-bold">SITUS</a></span> <span title="Label: DOI python" class="Label Label--gray"><a href="https://doi.org/10.1109/MCSE.2007.58" class="text-mono">DOI</a></span> <br /> <!-- TEXT --> <span class="text-italic text-small">Travis E. Oliphant</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">python</span> <br /> <span class="f5 text-bold text-italic">Python tutorial</span> <br /> <!-- LABEL --> <span title="Label: 1995" class="Label bg-yellow text-gray-dark">1995</span> <span title="Label: Centrum voor Wiskunde en Informatica Amsterdam, The Netherlands" class="Label bg-blue">Centrum voor Wiskunde en Informatica Amsterdam, The Netherlands</span> <span title="Label: URL python" class="Label Label--outline"><a href="https://python.org" class="text-bold">SITUS</a></span> <br /> <!-- TEXT --> <span class="text-italic text-small">Van Rossum, G. &amp; Drake Jr, F.L.</span><br /> </div> </div> <p><span class="Label Label--orange text-mono text-small text-center">Jumlah: 3 Program</span></p>Taruma S. Megariansyahhi@taruma.infoTulisan ini merupakan catatan pribadi.Dan dapat berubah-ubah.Daftar Diagram2020-02-21T00:00:00+00:002020-02-21T00:00:00+00:00https://taruma.github.io/vivaldi/daftar-diagram<div align="center"> <div class="Toast Toast--warning googoo"> <span class="Toast-icon"><svg class="octicon octicon-alert" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8.22 1.754a.25.25 0 00-.44 0L1.698 13.132a.25.25 0 00.22.368h12.164a.25.25 0 00.22-.368L8.22 1.754zm-1.763-.707c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0114.082 15H1.918a1.75 1.75 0 01-1.543-2.575L6.457 1.047zM9 11a1 1 0 11-2 0 1 1 0 012 0zm-.25-5.25a.75.75 0 00-1.5 0v2.5a.75.75 0 001.5 0v-2.5z"></path></svg></span> <span class="Toast-content">Tulisan ini merupakan catatan pribadi.<br />Dan dapat berubah-ubah.</span> </div> </div> <p>Pada halaman ini terlampir kumpulan diagram yang saya buat. Diagram dibuat menggunakan <a href="//draw.io">draw.io</a>.</p> <hr /> <h2 class="no_toc" id="daftar-isi">Daftar Isi</h2> <ol id="markdown-toc"> <li><a href="#metodologi-penelitian" id="markdown-toc-metodologi-penelitian">Metodologi Penelitian</a></li> </ol> <hr /> <h2 id="metodologi-penelitian">Metodologi Penelitian</h2> <div class="mxgraph" style="max-width:100%;border:1px solid transparent;" data-mxgraph="{&quot;highlight&quot;:&quot;#0000ff&quot;,&quot;nav&quot;:true,&quot;resize&quot;:true,&quot;toolbar&quot;:&quot;zoom layers lightbox&quot;,&quot;edit&quot;:&quot;_blank&quot;,&quot;url&quot;:&quot;https://taruma.github.io/vivaldi/diagram/diag_metodologi_penelitian.drawio&quot;}"> </div> <script type="text/javascript" src="https://www.draw.io/embed2.js?&amp;fetch=https%3A%2F%2Ftaruma.github.io%2Fvivaldi%2Fdiagram%2Fdiag_metodologi_penelitian.drawio"></script>Taruma S. Megariansyahhi@taruma.infoTulisan ini merupakan catatan pribadi.Dan dapat berubah-ubah.Laporan Implementasi2020-02-20T00:00:00+00:002020-02-20T00:00:00+00:00https://taruma.github.io/vivaldi/laporan-implementasi<p><strong>Laporan Implementasi</strong> (LI) merupakan buku (<em>jupyter notebook</em>) yang memeragakan penggunaan <em>python</em> dan/atau <em>machine learning</em> pada topik sumberdaya air. Buku ini juga sebagai demonstrasi penggunaan paket <code class="language-plaintext highlighter-rouge">hidrokit</code>, yaitu proyek <em>open-source</em> paket python untuk analisis hidrologi (kunjungi: <a href="https://github.com/taruma/hidrokit">github.com/taruma/hidrokit</a>).</p> <hr /> <div class="p-3 border border-dashed border-black-fade bg-gray-light my-2"> <!-- JUDUL LAPORAN --> <span title="Label: NO Lapim" class="State bg-red text-white text-mono text-small"># Nomor Laporan</span> <span class="f3 text-bold">Judul Laporan</span> <span title="Label: Versi Lapim" class="Label Label--outline-green text-mono text-small">Versi Laporan</span> <br /> <span class="f5 text-bold text-italic">Judul Lain Laporan</span> <br /> <!-- LABEL --> <span title="Label: Tanggal Publikasi" class="Label bg-yellow text-gray-dark">Tanggal Publikasi</span> <span title="Label: Lisensi" class="Label bg-blue">Lisensi</span> <span title="Label: Versi Hidrokit" class="Label Label--outline text-mono">Versi hidrokit</span> <br /> <!-- TEXT --> <span class="text-small text-italic">Penulis</span> <br /> <!-- BUTTON --> <a aria-disabled="true" class="btn mt-2 btn-danger btn-sm" href="#url" role="button"><svg class="octicon octicon-comment" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M2.75 2.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h2a.75.75 0 01.75.75v2.19l2.72-2.72a.75.75 0 01.53-.22h4.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25H2.75zM1 2.75C1 1.784 1.784 1 2.75 1h10.5c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0113.25 12H9.06l-2.573 2.573A1.457 1.457 0 014 13.543V12H2.75A1.75 1.75 0 011 10.25v-7.5z"></path></svg> Blogpost</a> <a aria-disabled="true" class="btn mt-2 btn-primary btn-sm" href="#url" role="button"><svg class="octicon octicon-desktop-download" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="M4.927 5.427l2.896 2.896a.25.25 0 00.354 0l2.896-2.896A.25.25 0 0010.896 5H8.75V.75a.75.75 0 10-1.5 0V5H5.104a.25.25 0 00-.177.427z"></path><path d="M1.573 2.573a.25.25 0 00-.073.177v7.5a.25.25 0 00.25.25h12.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-3a.75.75 0 110-1.5h3A1.75 1.75 0 0116 2.75v7.5A1.75 1.75 0 0114.25 12h-3.727c.099 1.041.52 1.872 1.292 2.757A.75.75 0 0111.25 16h-6.5a.75.75 0 01-.565-1.243c.772-.885 1.192-1.716 1.292-2.757H1.75A1.75 1.75 0 010 10.25v-7.5A1.75 1.75 0 011.75 1h3a.75.75 0 010 1.5h-3a.25.25 0 00-.177.073zM6.982 12a5.72 5.72 0 01-.765 2.5h3.566a5.72 5.72 0 01-.765-2.5H6.982z"></path></svg> Unduh PDF</a> <a aria-disabled="true" class="btn mt-2 btn-outline btn-sm" href="#url" role="button"><svg class="octicon octicon-mark-github" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z"></path></svg> Buka Menggunakan Google Colab</a> <a aria-disabled="true" class="btn mt-2 btn-outline btn-sm" href="#url" role="button"><svg class="octicon octicon-logo-gist" viewBox="0 0 25 16" version="1.1" width="25" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M4.7 8.73h2.45v4.02c-.55.27-1.64.34-2.53.34-2.56 0-3.47-2.2-3.47-5.05 0-2.85.91-5.06 3.48-5.06 1.28 0 2.06.23 3.28.73V2.66C7.27 2.33 6.25 2 4.63 2 1.13 2 0 4.69 0 8.03c0 3.34 1.11 6.03 4.63 6.03 1.64 0 2.81-.27 3.59-.64V7.73H4.7v1zm6.39 3.72V6.06h-1.05v6.28c0 1.25.58 1.72 1.72 1.72v-.89c-.48 0-.67-.16-.67-.7v-.02zm.25-8.72c0-.44-.33-.78-.78-.78s-.77.34-.77.78.33.78.77.78.78-.34.78-.78zm4.34 5.69c-1.5-.13-1.78-.48-1.78-1.17 0-.77.33-1.34 1.88-1.34 1.05 0 1.66.16 2.27.36v-.94c-.69-.3-1.52-.39-2.25-.39-2.2 0-2.92 1.2-2.92 2.31 0 1.08.47 1.88 2.73 2.08 1.55.13 1.77.63 1.77 1.34 0 .73-.44 1.42-2.06 1.42-1.11 0-1.86-.19-2.33-.36v.94c.5.2 1.58.39 2.33.39 2.38 0 3.14-1.2 3.14-2.41 0-1.28-.53-2.03-2.75-2.23h-.03zm8.58-2.47v-.86h-2.42v-2.5l-1.08.31v2.11l-1.56.44v.48h1.56v5c0 1.53 1.19 2.13 2.5 2.13.19 0 .52-.02.69-.05v-.89c-.19.03-.41.03-.61.03-.97 0-1.5-.39-1.5-1.34V6.94h2.42v.02-.01z"></path></svg>Lihat Github Gist</a> <a aria-disabled="true" class="btn mt-2 btn-outline btn-sm" href="#url" role="button"><svg class="octicon octicon-eye" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M1.679 7.932c.412-.621 1.242-1.75 2.366-2.717C5.175 4.242 6.527 3.5 8 3.5c1.473 0 2.824.742 3.955 1.715 1.124.967 1.954 2.096 2.366 2.717a.119.119 0 010 .136c-.412.621-1.242 1.75-2.366 2.717C10.825 11.758 9.473 12.5 8 12.5c-1.473 0-2.824-.742-3.955-1.715C2.92 9.818 2.09 8.69 1.679 8.068a.119.119 0 010-.136zM8 2c-1.981 0-3.67.992-4.933 2.078C1.797 5.169.88 6.423.43 7.1a1.619 1.619 0 000 1.798c.45.678 1.367 1.932 2.637 3.024C4.329 13.008 6.019 14 8 14c1.981 0 3.67-.992 4.933-2.078 1.27-1.091 2.187-2.345 2.637-3.023a1.619 1.619 0 000-1.798c-.45-.678-1.367-1.932-2.637-3.023C11.671 2.992 9.981 2 8 2zm0 8a2 2 0 100-4 2 2 0 000 4z"></path></svg> Lihat Melalui NBViewer</a> </div> <hr /> <div class="border d-flex flex-column my-3 border-gray"> <div class="p-2 border bg-gray-light"> <!-- JUDUL LAPORAN --> <span title="Label: NO 4" class="State bg-red text-white text-mono text-small">#4</span> <span class="f3 text-bold">Perbandingan Model Variasi Recurrent Neural Networks (RNN) Pada Kasus Prediksi Debit Aliran</span> <span title="Label: Versi 4" class="Label Label--outline-green text-mono text-small">1.0.0</span> <br /> <span class="f5 text-bold text-italic">Perbandingan Model Konseptual (NRECA dan FJMOCK) dan Model Deep Learning (ANN, RNN, LSTM, dan GRU) Dengan Variasi Timesteps Pada Kasus Prediksi Debit Aliran</span> <br /> <!-- LABEL --> <span title="Label: Tanggal Publikasi 4" class="Label bg-yellow text-gray-dark">11 Feb 2020</span> <span title="Label: Lisensi 4" class="Label bg-blue">MIT</span> <span title="Label: Lisensi 4" class="Label bg-blue">CC-BY-4.0</span> <span title="Label: Versi Hidrokit" class="Label Label--outline text-mono">hidrokit 0.3.5</span> <br /> <!-- TEXT --> <span class="text-small text-italic">Megariansyah, Taruma S.</span> <br /> <!-- BUTTON --> <a class="btn mt-2 btn-danger btn-sm" href="/vivaldi/laporan-implementasi-4-banding-model-variasi-RNN" role="button" target="_blank"><svg class="octicon octicon-comment" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M2.75 2.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h2a.75.75 0 01.75.75v2.19l2.72-2.72a.75.75 0 01.53-.22h4.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25H2.75zM1 2.75C1 1.784 1.784 1 2.75 1h10.5c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0113.25 12H9.06l-2.573 2.573A1.457 1.457 0 014 13.543V12H2.75A1.75 1.75 0 011 10.25v-7.5z"></path></svg></a> <a class="btn mt-2 btn-primary btn-sm" href="https://1drv.ms/b/s!AmxSTa4UunElhoVm7i0EuKdPkPlzVg?e=rjXNpf" role="button" target="_blank"><svg class="octicon octicon-desktop-download" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="M4.927 5.427l2.896 2.896a.25.25 0 00.354 0l2.896-2.896A.25.25 0 0010.896 5H8.75V.75a.75.75 0 10-1.5 0V5H5.104a.25.25 0 00-.177.427z"></path><path d="M1.573 2.573a.25.25 0 00-.073.177v7.5a.25.25 0 00.25.25h12.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-3a.75.75 0 110-1.5h3A1.75 1.75 0 0116 2.75v7.5A1.75 1.75 0 0114.25 12h-3.727c.099 1.041.52 1.872 1.292 2.757A.75.75 0 0111.25 16h-6.5a.75.75 0 01-.565-1.243c.772-.885 1.192-1.716 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2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z"></path></svg></a> <a class="btn mt-2 btn-outline btn-sm" href="https://gist.github.com/taruma/9d1ef5c6d629c792bed0c3f68b324675" role="button" target="_blank"><svg class="octicon octicon-logo-gist" viewBox="0 0 25 16" version="1.1" width="25" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M4.7 8.73h2.45v4.02c-.55.27-1.64.34-2.53.34-2.56 0-3.47-2.2-3.47-5.05 0-2.85.91-5.06 3.48-5.06 1.28 0 2.06.23 3.28.73V2.66C7.27 2.33 6.25 2 4.63 2 1.13 2 0 4.69 0 8.03c0 3.34 1.11 6.03 4.63 6.03 1.64 0 2.81-.27 3.59-.64V7.73H4.7v1zm6.39 3.72V6.06h-1.05v6.28c0 1.25.58 1.72 1.72 1.72v-.89c-.48 0-.67-.16-.67-.7v-.02zm.25-8.72c0-.44-.33-.78-.78-.78s-.77.34-.77.78.33.78.77.78.78-.34.78-.78zm4.34 5.69c-1.5-.13-1.78-.48-1.78-1.17 0-.77.33-1.34 1.88-1.34 1.05 0 1.66.16 2.27.36v-.94c-.69-.3-1.52-.39-2.25-.39-2.2 0-2.92 1.2-2.92 2.31 0 1.08.47 1.88 2.73 2.08 1.55.13 1.77.63 1.77 1.34 0 .73-.44 1.42-2.06 1.42-1.11 0-1.86-.19-2.33-.36v.94c.5.2 1.58.39 2.33.39 2.38 0 3.14-1.2 3.14-2.41 0-1.28-.53-2.03-2.75-2.23h-.03zm8.58-2.47v-.86h-2.42v-2.5l-1.08.31v2.11l-1.56.44v.48h1.56v5c0 1.53 1.19 2.13 2.5 2.13.19 0 .52-.02.69-.05v-.89c-.19.03-.41.03-.61.03-.97 0-1.5-.39-1.5-1.34V6.94h2.42v.02-.01z"></path></svg></a> <a class="btn mt-2 btn-outline btn-sm" href="https://nbviewer.jupyter.org/gist/taruma/9d1ef5c6d629c792bed0c3f68b324675" role="button" target="_blank"><svg class="octicon octicon-eye" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M1.679 7.932c.412-.621 1.242-1.75 2.366-2.717C5.175 4.242 6.527 3.5 8 3.5c1.473 0 2.824.742 3.955 1.715 1.124.967 1.954 2.096 2.366 2.717a.119.119 0 010 .136c-.412.621-1.242 1.75-2.366 2.717C10.825 11.758 9.473 12.5 8 12.5c-1.473 0-2.824-.742-3.955-1.715C2.92 9.818 2.09 8.69 1.679 8.068a.119.119 0 010-.136zM8 2c-1.981 0-3.67.992-4.933 2.078C1.797 5.169.88 6.423.43 7.1a1.619 1.619 0 000 1.798c.45.678 1.367 1.932 2.637 3.024C4.329 13.008 6.019 14 8 14c1.981 0 3.67-.992 4.933-2.078 1.27-1.091 2.187-2.345 2.637-3.023a1.619 1.619 0 000-1.798c-.45-.678-1.367-1.932-2.637-3.023C11.671 2.992 9.981 2 8 2zm0 8a2 2 0 100-4 2 2 0 000 4z"></path></svg></a> </div> <div class="p-2 border bg-gray-light"> <!-- JUDUL LAPORAN --> <span title="Label: NO 3" class="State bg-red text-white text-mono text-small">#3</span> <span class="f3 text-bold">Analisis Hidrologi Menggunakan hidrokit</span> <span title="Label: Versi 3" class="Label Label--outline-green text-mono text-small">1.0.0</span> <br /> <span class="f5 text-bold text-italic">Pengembangan Paket Python Open-Source Dalam Bidang Hidrologi</span> <br /> <!-- LABEL --> <span title="Label: Tanggal Publikasi 3" class="Label bg-yellow text-gray-dark">16 Jan 2020</span> <span title="Label: Lisensi 3" class="Label bg-blue">MIT</span> <span title="Label: Lisensi 3" class="Label bg-blue">CC-BY-4.0</span> <span title="Label: Versi Hidrokit" class="Label Label--outline text-mono">hidrokit 0.3.5</span> <br /> <!-- TEXT --> <span class="text-small text-italic">Megariansyah, Taruma S.</span> <br /> <!-- BUTTON --> <a class="btn mt-2 btn-danger btn-sm" href="/vivaldi/laporan-implementasi-3-hidrologi-hidrokit" role="button" target="_blank"><svg class="octicon octicon-comment octicon octicon-comment" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M2.75 2.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h2a.75.75 0 01.75.75v2.19l2.72-2.72a.75.75 0 01.53-.22h4.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25H2.75zM1 2.75C1 1.784 1.784 1 2.75 1h10.5c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0113.25 12H9.06l-2.573 2.573A1.457 1.457 0 014 13.543V12H2.75A1.75 1.75 0 011 10.25v-7.5z"></path></svg></a> <a class="btn mt-2 btn-primary btn-sm" href="https://1drv.ms/b/s!AmxSTa4UunElhoU3ehyoy45_RG6hjA?e=5wUb8d" role="button" target="_blank"><svg class="octicon octicon-desktop-download octicon octicon-desktop-download" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="M4.927 5.427l2.896 2.896a.25.25 0 00.354 0l2.896-2.896A.25.25 0 0010.896 5H8.75V.75a.75.75 0 10-1.5 0V5H5.104a.25.25 0 00-.177.427z"></path><path d="M1.573 2.573a.25.25 0 00-.073.177v7.5a.25.25 0 00.25.25h12.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-3a.75.75 0 110-1.5h3A1.75 1.75 0 0116 2.75v7.5A1.75 1.75 0 0114.25 12h-3.727c.099 1.041.52 1.872 1.292 2.757A.75.75 0 0111.25 16h-6.5a.75.75 0 01-.565-1.243c.772-.885 1.192-1.716 1.292-2.757H1.75A1.75 1.75 0 010 10.25v-7.5A1.75 1.75 0 011.75 1h3a.75.75 0 010 1.5h-3a.25.25 0 00-.177.073zM6.982 12a5.72 5.72 0 01-.765 2.5h3.566a5.72 5.72 0 01-.765-2.5H6.982z"></path></svg></a> <a class="btn mt-2 btn-outline btn-sm" href="https://gist.github.com/taruma/4c1ed1212290965ecda056f45d7aaea2" role="button" target="_blank"><svg class="octicon octicon-logo-gist octicon octicon-logo-gist" viewBox="0 0 25 16" version="1.1" width="25" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M4.7 8.73h2.45v4.02c-.55.27-1.64.34-2.53.34-2.56 0-3.47-2.2-3.47-5.05 0-2.85.91-5.06 3.48-5.06 1.28 0 2.06.23 3.28.73V2.66C7.27 2.33 6.25 2 4.63 2 1.13 2 0 4.69 0 8.03c0 3.34 1.11 6.03 4.63 6.03 1.64 0 2.81-.27 3.59-.64V7.73H4.7v1zm6.39 3.72V6.06h-1.05v6.28c0 1.25.58 1.72 1.72 1.72v-.89c-.48 0-.67-.16-.67-.7v-.02zm.25-8.72c0-.44-.33-.78-.78-.78s-.77.34-.77.78.33.78.77.78.78-.34.78-.78zm4.34 5.69c-1.5-.13-1.78-.48-1.78-1.17 0-.77.33-1.34 1.88-1.34 1.05 0 1.66.16 2.27.36v-.94c-.69-.3-1.52-.39-2.25-.39-2.2 0-2.92 1.2-2.92 2.31 0 1.08.47 1.88 2.73 2.08 1.55.13 1.77.63 1.77 1.34 0 .73-.44 1.42-2.06 1.42-1.11 0-1.86-.19-2.33-.36v.94c.5.2 1.58.39 2.33.39 2.38 0 3.14-1.2 3.14-2.41 0-1.28-.53-2.03-2.75-2.23h-.03zm8.58-2.47v-.86h-2.42v-2.5l-1.08.31v2.11l-1.56.44v.48h1.56v5c0 1.53 1.19 2.13 2.5 2.13.19 0 .52-.02.69-.05v-.89c-.19.03-.41.03-.61.03-.97 0-1.5-.39-1.5-1.34V6.94h2.42v.02-.01z"></path></svg></a> <a class="btn mt-2 btn-outline btn-sm" href="https://nbviewer.jupyter.org/gist/taruma/4c1ed1212290965ecda056f45d7aaea2" role="button" target="_blank"><svg class="octicon octicon-eye octicon octicon-eye" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M1.679 7.932c.412-.621 1.242-1.75 2.366-2.717C5.175 4.242 6.527 3.5 8 3.5c1.473 0 2.824.742 3.955 1.715 1.124.967 1.954 2.096 2.366 2.717a.119.119 0 010 .136c-.412.621-1.242 1.75-2.366 2.717C10.825 11.758 9.473 12.5 8 12.5c-1.473 0-2.824-.742-3.955-1.715C2.92 9.818 2.09 8.69 1.679 8.068a.119.119 0 010-.136zM8 2c-1.981 0-3.67.992-4.933 2.078C1.797 5.169.88 6.423.43 7.1a1.619 1.619 0 000 1.798c.45.678 1.367 1.932 2.637 3.024C4.329 13.008 6.019 14 8 14c1.981 0 3.67-.992 4.933-2.078 1.27-1.091 2.187-2.345 2.637-3.023a1.619 1.619 0 000-1.798c-.45-.678-1.367-1.932-2.637-3.023C11.671 2.992 9.981 2 8 2zm0 8a2 2 0 100-4 2 2 0 000 4z"></path></svg></a> </div> <div class="p-2 border bg-gray-light"> <!-- JUDUL LAPORAN --> <span title="Label: NO 2" class="State bg-red text-white text-mono text-small">#2</span> <span class="f3 text-bold">Prediksi Debit Aliran Menggunakan Long Short-Term Memory (LSTM)</span> <span title="Label: Versi 2" class="Label Label--outline-green text-mono text-small">1.0.0</span> <br /> <span class="f5 text-bold text-italic">Long Short-Term Memory Single-Output Regression pada Kasus Prediksi Debit Aliran</span> <br /> <!-- LABEL --> <span title="Label: Tanggal Publikasi 2" class="Label bg-yellow text-gray-dark">22 Oct 2019</span> <span title="Label: Lisensi 2" class="Label bg-blue">MIT</span> <span title="Label: Lisensi 2" class="Label bg-blue">CC-BY-4.0</span> <span title="Label: Versi Hidrokit" class="Label Label--outline text-mono">hidrokit 0.3.2</span> <br /> <!-- TEXT --> <span class="text-small text-italic">Megariansyah, Taruma S.</span> <br /> <!-- BUTTON --> <a class="btn mt-2 btn-danger btn-sm" href="/vivaldi/laporan-implementasi-2-debit-lstm" role="button" target="_blank"><svg class="octicon octicon-comment octicon octicon-comment octicon octicon-comment" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M2.75 2.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h2a.75.75 0 01.75.75v2.19l2.72-2.72a.75.75 0 01.53-.22h4.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25H2.75zM1 2.75C1 1.784 1.784 1 2.75 1h10.5c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0113.25 12H9.06l-2.573 2.573A1.457 1.457 0 014 13.543V12H2.75A1.75 1.75 0 011 10.25v-7.5z"></path></svg></a> <a class="btn mt-2 btn-primary btn-sm" href="https://1drv.ms/b/s!AmxSTa4UunElhoU1sISX0gc4BammwQ?e=MGHcwT" role="button" target="_blank"><svg class="octicon octicon-desktop-download octicon octicon-desktop-download octicon octicon-desktop-download" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="M4.927 5.427l2.896 2.896a.25.25 0 00.354 0l2.896-2.896A.25.25 0 0010.896 5H8.75V.75a.75.75 0 10-1.5 0V5H5.104a.25.25 0 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version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M1.679 7.932c.412-.621 1.242-1.75 2.366-2.717C5.175 4.242 6.527 3.5 8 3.5c1.473 0 2.824.742 3.955 1.715 1.124.967 1.954 2.096 2.366 2.717a.119.119 0 010 .136c-.412.621-1.242 1.75-2.366 2.717C10.825 11.758 9.473 12.5 8 12.5c-1.473 0-2.824-.742-3.955-1.715C2.92 9.818 2.09 8.69 1.679 8.068a.119.119 0 010-.136zM8 2c-1.981 0-3.67.992-4.933 2.078C1.797 5.169.88 6.423.43 7.1a1.619 1.619 0 000 1.798c.45.678 1.367 1.932 2.637 3.024C4.329 13.008 6.019 14 8 14c1.981 0 3.67-.992 4.933-2.078 1.27-1.091 2.187-2.345 2.637-3.023a1.619 1.619 0 000-1.798c-.45-.678-1.367-1.932-2.637-3.023C11.671 2.992 9.981 2 8 2zm0 8a2 2 0 100-4 2 2 0 000 4z"></path></svg></a> </div> <div class="p-2 border bg-gray-light"> <!-- JUDUL LAPORAN --> <span title="Label: NO 1" class="State bg-red text-white text-mono text-small">#1</span> <span class="f3 text-bold">Prediksi Kualitas Air Menggunakan Artificial Neural Networks (ANN)</span> <span title="Label: Versi 1" class="Label Label--outline-green text-mono text-small">2.0.0</span> <br /> <span class="f5 text-bold text-italic">Multi Layer Perceptron Single-Output Regression pada Kasus Prediksi Kualitas Air</span> <br /> <!-- LABEL --> <span title="Label: Tanggal Publikasi 1" class="Label bg-yellow text-gray-dark">13 Jul 2019</span> <span title="Label: Lisensi 1" class="Label bg-blue">MIT</span> <span title="Label: Lisensi 1" class="Label bg-blue">CC-BY-4.0</span> <span title="Label: Versi Hidrokit" class="Label Label--outline text-mono">hidrokit 0.2.0</span> <br /> <!-- TEXT --> <span class="text-small text-italic">Megariansyah, Taruma S.</span> <br /> <!-- BUTTON --> <a class="btn mt-2 btn-danger btn-sm" href="/vivaldi/laporan-implementasi-1-kualitas-air-ann" role="button" target="_blank"><svg class="octicon octicon-comment octicon octicon-comment octicon octicon-comment octicon octicon-comment" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M2.75 2.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h2a.75.75 0 01.75.75v2.19l2.72-2.72a.75.75 0 01.53-.22h4.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25H2.75zM1 2.75C1 1.784 1.784 1 2.75 1h10.5c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0113.25 12H9.06l-2.573 2.573A1.457 1.457 0 014 13.543V12H2.75A1.75 1.75 0 011 10.25v-7.5z"></path></svg></a> <a class="btn mt-2 btn-primary btn-sm" href="https://1drv.ms/b/s!AmxSTa4UunElhoU27FZ3pMHVvWeMsA?e=ouC2KK" role="button" target="_blank"><svg class="octicon octicon-desktop-download octicon octicon-desktop-download octicon octicon-desktop-download octicon octicon-desktop-download" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="M4.927 5.427l2.896 2.896a.25.25 0 00.354 0l2.896-2.896A.25.25 0 0010.896 5H8.75V.75a.75.75 0 10-1.5 0V5H5.104a.25.25 0 00-.177.427z"></path><path d="M1.573 2.573a.25.25 0 00-.073.177v7.5a.25.25 0 00.25.25h12.5a.25.25 0 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aria-hidden="true"><path fill-rule="evenodd" d="M1.679 7.932c.412-.621 1.242-1.75 2.366-2.717C5.175 4.242 6.527 3.5 8 3.5c1.473 0 2.824.742 3.955 1.715 1.124.967 1.954 2.096 2.366 2.717a.119.119 0 010 .136c-.412.621-1.242 1.75-2.366 2.717C10.825 11.758 9.473 12.5 8 12.5c-1.473 0-2.824-.742-3.955-1.715C2.92 9.818 2.09 8.69 1.679 8.068a.119.119 0 010-.136zM8 2c-1.981 0-3.67.992-4.933 2.078C1.797 5.169.88 6.423.43 7.1a1.619 1.619 0 000 1.798c.45.678 1.367 1.932 2.637 3.024C4.329 13.008 6.019 14 8 14c1.981 0 3.67-.992 4.933-2.078 1.27-1.091 2.187-2.345 2.637-3.023a1.619 1.619 0 000-1.798c-.45-.678-1.367-1.932-2.637-3.023C11.671 2.992 9.981 2 8 2zm0 8a2 2 0 100-4 2 2 0 000 4z"></path></svg></a> </div> </div> <p><span class="Label Label--orange text-mono text-small text-center">Jumlah: 4 Laporan</span></p> <hr />Taruma S. Megariansyahhi@taruma.infoLaporan Implementasi (LI) merupakan buku (jupyter notebook) yang memeragakan penggunaan python dan/atau machine learning pada topik sumberdaya air. Buku ini juga sebagai demonstrasi penggunaan paket hidrokit, yaitu proyek open-source paket python untuk analisis hidrologi (kunjungi: github.com/taruma/hidrokit).Daftar Buku2020-02-18T00:00:00+00:002020-02-18T00:00:00+00:00https://taruma.github.io/vivaldi/daftar-buku<div align="center"> <div class="Toast Toast--warning googoo"> <span class="Toast-icon"><svg class="octicon octicon-alert" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8.22 1.754a.25.25 0 00-.44 0L1.698 13.132a.25.25 0 00.22.368h12.164a.25.25 0 00.22-.368L8.22 1.754zm-1.763-.707c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0114.082 15H1.918a1.75 1.75 0 01-1.543-2.575L6.457 1.047zM9 11a1 1 0 11-2 0 1 1 0 012 0zm-.25-5.25a.75.75 0 00-1.5 0v2.5a.75.75 0 001.5 0v-2.5z"></path></svg></span> <span class="Toast-content">Tulisan ini merupakan catatan pribadi.<br />Dan dapat berubah-ubah.</span> </div> </div> <p>Halaman ini berisikan daftar buku yang saya kumpulkan dan gunakan.</p> <hr /> <h2 class="no_toc" id="informasi-tulisan">Informasi Tulisan</h2> <table> <tbody> <tr> <td>Jenis Tulisan</td> <td>Koleksi, Catatan Pribadi</td> </tr> <tr> <td>Unduh</td> <td><a href="https://github.com/taruma/vivaldi/blob/master/docs/_data/list_book.csv">CSV</a>, <a href="https://github.com/taruma/vivaldi/blob/master/docs/_data/list_book_excel.xlsx">Excel</a></td> </tr> </tbody> </table> <hr /> <h2 class="no_toc" id="daftar-isi">Daftar Isi</h2> <ol id="markdown-toc"> <li><a href="#buku-yang-digunakan" id="markdown-toc-buku-yang-digunakan">Buku yang digunakan</a></li> <li><a href="#dropbox" id="markdown-toc-dropbox"><em>Dropbox</em></a></li> </ol> <hr /> <div class="p-3 border border-dashed border-black-fade bg-gray-light my-2"> <span class="f3 text-bold text-italic">Judul Buku</span><br /> <span class="Label bg-yellow text-gray-dark text-small" title="Label: Tahun Terbit">Tahun Terbit</span> <span class="Label bg-blue" title="Label: Penerbit">Penerbit</span> <span class="Label Label--gray" title="Label: Tanggal Disimpan">Tanggal Disimpan</span> <span class="Label Label--gray" title="Label: Kode ISBN">Kode ISBN</span><br /> <span class="text-italic">Penulis</span><br /> </div> <hr /> <h2 id="buku-yang-digunakan">Buku yang digunakan</h2> <p>Berikut daftar buku yang saya gunakan sebagai referensi.</p> <div class="border d-flex flex-column my-3 border-red"> <div class="p-2 pl-3 border bg-gray-light"> <span class="f3 text-bold text-italic">Neural Networks and Deep Learning: A Textbook</span><br /> <span class="Label bg-yellow text-gray-dark" title="Label: 2018-08-26T00:00:00+07:00">2018</span> <span class="Label bg-blue" title="Label: Springer">Springer</span> <span class="Label Label--gray" title="Label: 2020-02-18T10:05:11+07:00">18 Feb 2020</span> <span class="Label Label--gray" title="Label: 9783319944623">9783319944623</span> <br /> <span class="text-italic">Aggarwal, Charu C.</span><br /> <span class="text-small"> <b>Catatan:</b> dasar teori rnn, lstm, gru</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <span class="f3 text-bold text-italic">Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis</span><br /> <span class="Label bg-yellow text-gray-dark" title="Label: 2017-11-09T00:00:00+07:00">2017</span> <span class="Label bg-blue" title="Label: Springer">Springer</span> <span class="Label Label--gray" title="Label: 2020-02-18T10:05:12+07:00">18 Feb 2020</span> <span class="Label Label--gray" title="Label: 9783319703381">9783319703381</span> <br /> <span class="text-italic">Bianchi, Filippo Maria &amp; Maiorino, Enrico &amp; Kampffmeyer, Michael C. &amp; Rizzi, Antonello &amp; Jenssen, Robert</span><br /> <span class="text-small"> <b>Catatan:</b> dasar teori rnn, lstm, gru</span><br /> </div> </div> <p><span class="Label Label--orange text-mono text-small text-center">Jumlah: 2 Buku</span></p> <hr /> <h2 id="dropbox"><em>Dropbox</em></h2> <p>Berikut daftar buku yang saya kumpulkan saat melakukan pencarian.</p> <div class="border d-flex flex-column my-3 border-red"> <div class="p-2 pl-3 border bg-gray-light"> <span class="f3 text-bold text-italic">Deep Learning Pipeline: Building a Deep Learning Model With TensorFlow</span><br /> <span class="Label bg-yellow text-gray-dark" title="Label: 2019-12-20T00:00:00+07:00">2019</span> <span class="Label bg-blue" title="Label: Apress">Apress</span> <span class="Label Label--gray" title="Label: 2020-02-18T10:05:13+07:00">18 Feb 2020</span> <span class="Label Label--gray" title="Label: 9781484253496">9781484253496</span> <br /> <span class="text-italic">El-Amir, Hisham &amp; Hamdy, Mahmoud</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <span class="f3 text-bold text-italic">Deep Learning: Concepts and Architectures</span><br /> <span class="Label bg-yellow text-gray-dark" title="Label: 2019-10-29T00:00:00+07:00">2019</span> <span class="Label bg-blue" title="Label: Springer">Springer</span> <span class="Label Label--gray" title="Label: 2020-02-18T10:05:11+07:00">18 Feb 2020</span> <span class="Label Label--gray" title="Label: 3030317552">3030317552</span> <br /> <span class="text-italic">Pedrycz, Witold &amp; Chen, Shyi-Ming</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <span class="f3 text-bold text-italic">Deep Learning: Algorithms and Applications</span><br /> <span class="Label bg-yellow text-gray-dark" title="Label: 2019-10-23T00:00:00+07:00">2019</span> <span class="Label bg-blue" title="Label: Springer">Springer</span> <span class="Label Label--gray" title="Label: 2020-02-18T10:05:12+07:00">18 Feb 2020</span> <br /> <span class="text-italic">Pedrycz, Witold &amp; Chen, Shyi-Ming</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <span class="f3 text-bold text-italic">Recurrent Neural Networks</span><br /> <span class="Label bg-yellow text-gray-dark" title="Label: 2008-02-15T00:00:00+07:00">2008</span> <span class="Label bg-blue" title="Label: InTech">InTech</span> <span class="Label Label--gray" title="Label: 2020-02-18T10:05:12+07:00">18 Feb 2020</span> <span class="Label Label--gray" title="Label: 9789537619084">9789537619084</span> <br /> <span class="text-italic">Hu, Xiaolin &amp; Balasubramaniam, P.</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <span class="f3 text-bold text-italic">Convergence Analysis of Recurrent Neural Networks</span><br /> <span class="Label bg-yellow text-gray-dark" title="Label: 2003-11-29T00:00:00+07:00">2003</span> <span class="Label bg-blue" title="Label: Springer">Springer</span> <span class="Label Label--gray" title="Label: 2020-02-18T10:05:12+07:00">18 Feb 2020</span> <span class="Label Label--gray" title="Label: 9781402076947">9781402076947</span> <br /> <span class="text-italic">Yi, Zhang</span><br /> </div> <div class="p-2 pl-3 border bg-gray-light"> <span class="f3 text-bold text-italic">Recurrent Neural Networks: Design and Applications</span><br /> <span class="Label bg-yellow text-gray-dark" title="Label: 1999-12-20T00:00:00+07:00">1999</span> <span class="Label bg-blue" title="Label: CRC Press">CRC Press</span> <span class="Label Label--gray" title="Label: 2020-02-18T10:12:56+07:00">18 Feb 2020</span> <span class="Label Label--gray" title="Label: 9780849371813">9780849371813</span> <br /> <span class="text-italic">Medsker, Larry &amp; Jain, Lakhmi C.</span><br /> </div> </div> <p><span class="Label Label--orange text-mono text-small text-center">Jumlah: 6 Buku</span></p>Taruma S. Megariansyahhi@taruma.infoTulisan ini merupakan catatan pribadi.Dan dapat berubah-ubah.Daftar Makalah2020-02-16T00:00:00+00:002020-02-16T00:00:00+00:00https://taruma.github.io/vivaldi/daftar-makalah<div align="center"> <div class="Toast Toast--warning googoo"> <span class="Toast-icon"><svg class="octicon octicon-alert" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8.22 1.754a.25.25 0 00-.44 0L1.698 13.132a.25.25 0 00.22.368h12.164a.25.25 0 00.22-.368L8.22 1.754zm-1.763-.707c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0114.082 15H1.918a1.75 1.75 0 01-1.543-2.575L6.457 1.047zM9 11a1 1 0 11-2 0 1 1 0 012 0zm-.25-5.25a.75.75 0 00-1.5 0v2.5a.75.75 0 001.5 0v-2.5z"></path></svg></span> <span class="Toast-content">Tulisan ini merupakan catatan pribadi.<br />Dan dapat berubah-ubah.</span> </div> </div> <p>Pada halaman ini tersedia daftar makalah (paper) yang saya gunakan atau kumpulkan terkait penggunaan machine learning di bidang sumberdaya air. Terdapat juga beberapa makalah yang menurut saya menarik meski tidak sesuai topik yang ingin dikaji. Daftar makalah diurutkan berdasarkan tahun publikasi.</p> <p>Halaman ini saya gunakan untuk merekam jejak bacaan yang kemungkinan saya jadikan referensi. Kemungkinan akan saya buat halaman terpisah untuk makalah/materi yang saya gunakan dalam penelitian.</p> <hr /> <h2 class="no_toc" id="informasi-tulisan">Informasi Tulisan</h2> <table> <tbody> <tr> <td>Jenis Tulisan</td> <td>Koleksi, Catatan Pribadi</td> </tr> <tr> <td>Unduh</td> <td><a href="https://github.com/taruma/vivaldi/blob/master/docs/_data/list_paper.csv">CSV</a>, <a href="https://github.com/taruma/vivaldi/blob/master/docs/_data/list_paper_excel.xlsx">Excel</a></td> </tr> </tbody> </table> <hr /> <h2 class="no_toc" id="daftar-isi">Daftar Isi</h2> <ol id="markdown-toc"> <li><a href="#makalah-yang-sudah-dibaca" id="markdown-toc-makalah-yang-sudah-dibaca">Makalah yang sudah dibaca</a></li> <li><a href="#dropbox" id="markdown-toc-dropbox"><em>Dropbox</em></a></li> </ol> <hr /> <div class="p-3 border border-dashed border-black-fade bg-gray-light my-2"> <!-- JUDUL MAKALAH --> <span class="f3 text-bold">Judul Makalah</span> <br /> <!-- LABEL --> <span title="Label: Tahun Publikasi" class="Label bg-yellow text-gray-dark">Tahun Publikasi</span> <span title="Label: Publikasi" class="Label bg-blue">Publikasi/Jurnal</span> <span title="Label: DOI" class="Label Label--gray">Pranala DOI</span> <span title="Label: Print Code" class="Label Label--outline text-mono">Print Code</span> <span title="Label: Tanggal Selesai" class="Label Label--outline Label--outline-green">Tanggal Selesai Dibaca</span> <br /> <!-- TEXT --> <span class="text-italic">Penulis</span><br /> </div> <hr /> <h2 id="makalah-yang-sudah-dibaca">Makalah yang sudah dibaca</h2> <p>Berikut daftar makalah yang telah saya baca. Daftar diurutkan berdasarkan tahun publikasi.</p> <p class="text-small text-italic"><b>Catatan</b>: Klik <span title="Label: DOI" class="Label Label--gray">DOI</span> untuk memperoleh akses makalah. </p> <details class="details-overlay my-2"> <summary class="btn">Berdasarkan Urutan Bacaan</summary> <div class="ml-6 my-2"> <div class="TimelineItem"> <div class="TimelineItem-avatar ml-3"> <center><span class="Label Label--outline-green text-small text-mono">19<br />Nov<br />2019</span> </center> </div> <div class=" TimelineItem-badge"> <svg class="octicon octicon-book" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M0 1.75A.75.75 0 01.75 1h4.253c1.227 0 2.317.59 3 1.501A3.744 3.744 0 0111.006 1h4.245a.75.75 0 01.75.75v10.5a.75.75 0 01-.75.75h-4.507a2.25 2.25 0 00-1.591.659l-.622.621a.75.75 0 01-1.06 0l-.622-.621A2.25 2.25 0 005.258 13H.75a.75.75 0 01-.75-.75V1.75zm8.755 3a2.25 2.25 0 012.25-2.25H14.5v9h-3.757c-.71 0-1.4.201-1.992.572l.004-7.322zm-1.504 7.324l.004-5.073-.002-2.253A2.25 2.25 0 005.003 2.5H1.5v9h3.757a3.75 3.75 0 011.994.574z"></path></svg> </div> <div class="TimelineItem-body"> <span class="f5-light text-italic">NeuralHydrology - Interpreting LSTMs in Hydrology (2019)</span> </div> </div> <div class="TimelineItem"> <div class="TimelineItem-avatar ml-3"> <center><span class="Label Label--outline-green text-small text-mono">18<br />Nov<br />2019</span> </center> </div> <div class=" TimelineItem-badge"> <svg class="octicon octicon-book octicon octicon-book" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M0 1.75A.75.75 0 01.75 1h4.253c1.227 0 2.317.59 3 1.501A3.744 3.744 0 0111.006 1h4.245a.75.75 0 01.75.75v10.5a.75.75 0 01-.75.75h-4.507a2.25 2.25 0 00-1.591.659l-.622.621a.75.75 0 01-1.06 0l-.622-.621A2.25 2.25 0 005.258 13H.75a.75.75 0 01-.75-.75V1.75zm8.755 3a2.25 2.25 0 012.25-2.25H14.5v9h-3.757c-.71 0-1.4.201-1.992.572l.004-7.322zm-1.504 7.324l.004-5.073-.002-2.253A2.25 2.25 0 005.003 2.5H1.5v9h3.757a3.75 3.75 0 011.994.574z"></path></svg> </div> <div class="TimelineItem-body"> <span class="f5-light text-italic">Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks (2018)</span> </div> </div> <div class="TimelineItem"> <div class="TimelineItem-avatar ml-3"> <center><span class="Label Label--outline-green text-small text-mono">29<br />Apr<br />2019</span> </center> </div> <div class=" TimelineItem-badge"> <svg class="octicon octicon-book octicon octicon-book octicon octicon-book" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M0 1.75A.75.75 0 01.75 1h4.253c1.227 0 2.317.59 3 1.501A3.744 3.744 0 0111.006 1h4.245a.75.75 0 01.75.75v10.5a.75.75 0 01-.75.75h-4.507a2.25 2.25 0 00-1.591.659l-.622.621a.75.75 0 01-1.06 0l-.622-.621A2.25 2.25 0 005.258 13H.75a.75.75 0 01-.75-.75V1.75zm8.755 3a2.25 2.25 0 012.25-2.25H14.5v9h-3.757c-.71 0-1.4.201-1.992.572l.004-7.322zm-1.504 7.324l.004-5.073-.002-2.253A2.25 2.25 0 005.003 2.5H1.5v9h3.757a3.75 3.75 0 011.994.574z"></path></svg> </div> <div class="TimelineItem-body"> <span class="f5-light text-italic">Radial Basis Function Neural Network for Modeling Rating Curves (2003)</span> </div> </div> <div class="TimelineItem"> <div class="TimelineItem-avatar ml-3"> <center><span class="Label Label--outline-green text-small text-mono">16<br />Apr<br />2019</span> </center> </div> <div class=" TimelineItem-badge"> <svg class="octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M0 1.75A.75.75 0 01.75 1h4.253c1.227 0 2.317.59 3 1.501A3.744 3.744 0 0111.006 1h4.245a.75.75 0 01.75.75v10.5a.75.75 0 01-.75.75h-4.507a2.25 2.25 0 00-1.591.659l-.622.621a.75.75 0 01-1.06 0l-.622-.621A2.25 2.25 0 005.258 13H.75a.75.75 0 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00-1.591.659l-.622.621a.75.75 0 01-1.06 0l-.622-.621A2.25 2.25 0 005.258 13H.75a.75.75 0 01-.75-.75V1.75zm8.755 3a2.25 2.25 0 012.25-2.25H14.5v9h-3.757c-.71 0-1.4.201-1.992.572l.004-7.322zm-1.504 7.324l.004-5.073-.002-2.253A2.25 2.25 0 005.003 2.5H1.5v9h3.757a3.75 3.75 0 011.994.574z"></path></svg> </div> <div class="TimelineItem-body"> <span class="f5-light text-italic">Support vector machine applications in the field of hydrology: A review (2014)</span> </div> </div> <div class="TimelineItem"> <div class="TimelineItem-avatar ml-3"> <center><span class="Label Label--outline-green text-small text-mono">28<br />Mar<br />2019</span> </center> </div> <div class=" TimelineItem-badge"> <svg class="octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M0 1.75A.75.75 0 01.75 1h4.253c1.227 0 2.317.59 3 1.501A3.744 3.744 0 0111.006 1h4.245a.75.75 0 01.75.75v10.5a.75.75 0 01-.75.75h-4.507a2.25 2.25 0 00-1.591.659l-.622.621a.75.75 0 01-1.06 0l-.622-.621A2.25 2.25 0 005.258 13H.75a.75.75 0 01-.75-.75V1.75zm8.755 3a2.25 2.25 0 012.25-2.25H14.5v9h-3.757c-.71 0-1.4.201-1.992.572l.004-7.322zm-1.504 7.324l.004-5.073-.002-2.253A2.25 2.25 0 005.003 2.5H1.5v9h3.757a3.75 3.75 0 011.994.574z"></path></svg> </div> <div class="TimelineItem-body"> <span class="f5-light text-italic">OPTIMIZATION RAINFALL-RUNOFF MODELING FOR CIUJUNG RIVER USING BACK PROPAGATION METHOD (2018)</span> </div> </div> <div class="TimelineItem"> <div class="TimelineItem-avatar ml-3"> <center><span class="Label Label--outline-green text-small text-mono">19<br />Mar<br />2019</span> </center> </div> <div class=" TimelineItem-badge"> <svg class="octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book" viewBox="0 0 16 16" version="1.1" width="16" 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II: Hydrologic Applications (2000)</span> </div> </div> <div class="TimelineItem"> <div class="TimelineItem-avatar ml-3"> <center><span class="Label Label--outline-green text-small text-mono">27<br />Feb<br />2019</span> </center> </div> <div class=" TimelineItem-badge"> <svg class="octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M0 1.75A.75.75 0 01.75 1h4.253c1.227 0 2.317.59 3 1.501A3.744 3.744 0 0111.006 1h4.245a.75.75 0 01.75.75v10.5a.75.75 0 01-.75.75h-4.507a2.25 2.25 0 00-1.591.659l-.622.621a.75.75 0 01-1.06 0l-.622-.621A2.25 2.25 0 005.258 13H.75a.75.75 0 01-.75-.75V1.75zm8.755 3a2.25 2.25 0 012.25-2.25H14.5v9h-3.757c-.71 0-1.4.201-1.992.572l.004-7.322zm-1.504 7.324l.004-5.073-.002-2.253A2.25 2.25 0 005.003 2.5H1.5v9h3.757a3.75 3.75 0 011.994.574z"></path></svg> </div> <div class="TimelineItem-body"> <span class="f5-light text-italic">Artificial Neural Networks in Hydrology. I: Preliminary Concepts (2000)</span> </div> </div> <div class="TimelineItem"> <div class="TimelineItem-avatar ml-3"> <center><span class="Label Label--outline-green text-small text-mono">29<br />Aug<br />2018</span> </center> </div> <div class=" TimelineItem-badge"> <svg class="octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M0 1.75A.75.75 0 01.75 1h4.253c1.227 0 2.317.59 3 1.501A3.744 3.744 0 0111.006 1h4.245a.75.75 0 01.75.75v10.5a.75.75 0 01-.75.75h-4.507a2.25 2.25 0 00-1.591.659l-.622.621a.75.75 0 01-1.06 0l-.622-.621A2.25 2.25 0 005.258 13H.75a.75.75 0 01-.75-.75V1.75zm8.755 3a2.25 2.25 0 012.25-2.25H14.5v9h-3.757c-.71 0-1.4.201-1.992.572l.004-7.322zm-1.504 7.324l.004-5.073-.002-2.253A2.25 2.25 0 005.003 2.5H1.5v9h3.757a3.75 3.75 0 011.994.574z"></path></svg> </div> <div class="TimelineItem-body"> <span class="f5-light text-italic">A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists (2018)</span> </div> </div> <div class="TimelineItem"> <div class="TimelineItem-avatar ml-3"> <center><span class="Label Label--outline-green text-small text-mono">16<br />Aug<br />2018</span> </center> </div> <div class=" TimelineItem-badge"> <svg class="octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M0 1.75A.75.75 0 01.75 1h4.253c1.227 0 2.317.59 3 1.501A3.744 3.744 0 0111.006 1h4.245a.75.75 0 01.75.75v10.5a.75.75 0 01-.75.75h-4.507a2.25 2.25 0 00-1.591.659l-.622.621a.75.75 0 01-1.06 0l-.622-.621A2.25 2.25 0 005.258 13H.75a.75.75 0 01-.75-.75V1.75zm8.755 3a2.25 2.25 0 012.25-2.25H14.5v9h-3.757c-.71 0-1.4.201-1.992.572l.004-7.322zm-1.504 7.324l.004-5.073-.002-2.253A2.25 2.25 0 005.003 2.5H1.5v9h3.757a3.75 3.75 0 011.994.574z"></path></svg> </div> <div class="TimelineItem-body"> <span class="f5-light text-italic">Rainfall Monthly Prediction Based on Artificial Neural Network: A Case Study in Tenggarong Station, East Kalimantan - Indonesia (2015)</span> </div> </div> <div class="TimelineItem"> <div class="TimelineItem-avatar ml-3"> <center><span class="Label Label--outline-green text-small text-mono">14<br />Aug<br />2018</span> </center> </div> <div class=" TimelineItem-badge"> <svg class="octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M0 1.75A.75.75 0 01.75 1h4.253c1.227 0 2.317.59 3 1.501A3.744 3.744 0 0111.006 1h4.245a.75.75 0 01.75.75v10.5a.75.75 0 01-.75.75h-4.507a2.25 2.25 0 00-1.591.659l-.622.621a.75.75 0 01-1.06 0l-.622-.621A2.25 2.25 0 005.258 13H.75a.75.75 0 01-.75-.75V1.75zm8.755 3a2.25 2.25 0 012.25-2.25H14.5v9h-3.757c-.71 0-1.4.201-1.992.572l.004-7.322zm-1.504 7.324l.004-5.073-.002-2.253A2.25 2.25 0 005.003 2.5H1.5v9h3.757a3.75 3.75 0 011.994.574z"></path></svg> </div> <div class="TimelineItem-body"> <span class="f5-light text-italic">What Large Sample Size Is Sufficient for Hydrologic Frequency Analysis?—A Rational Argument for a 30-Year Hydrologic Sample Size in Water Resources Management (2018)</span> </div> </div> <div class="TimelineItem"> <div class="TimelineItem-avatar ml-3"> <center><span class="Label Label--outline-green text-small text-mono">03<br />Aug<br />2018</span> </center> </div> <div class=" TimelineItem-badge"> <svg class="octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M0 1.75A.75.75 0 01.75 1h4.253c1.227 0 2.317.59 3 1.501A3.744 3.744 0 0111.006 1h4.245a.75.75 0 01.75.75v10.5a.75.75 0 01-.75.75h-4.507a2.25 2.25 0 00-1.591.659l-.622.621a.75.75 0 01-1.06 0l-.622-.621A2.25 2.25 0 005.258 13H.75a.75.75 0 01-.75-.75V1.75zm8.755 3a2.25 2.25 0 012.25-2.25H14.5v9h-3.757c-.71 0-1.4.201-1.992.572l.004-7.322zm-1.504 7.324l.004-5.073-.002-2.253A2.25 2.25 0 005.003 2.5H1.5v9h3.757a3.75 3.75 0 011.994.574z"></path></svg> </div> <div class="TimelineItem-body"> <span class="f5-light text-italic">MODEL PERAMALAN DEBIT ALIRAN SUNGAI MENGGUNAKAN METODE GABUNGAN SELF ORGANIZING MAPS – ARTIFICIAL NEURAL NETWORK (Studi Kasus: Sungai Tapung Kiri) (2017)</span> </div> </div> <div class="TimelineItem"> <div class="TimelineItem-avatar ml-3"> </div> <div class=" TimelineItem-badge"> <svg class="octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book octicon octicon-book" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M0 1.75A.75.75 0 01.75 1h4.253c1.227 0 2.317.59 3 1.501A3.744 3.744 0 0111.006 1h4.245a.75.75 0 01.75.75v10.5a.75.75 0 01-.75.75h-4.507a2.25 2.25 0 00-1.591.659l-.622.621a.75.75 0 01-1.06 0l-.622-.621A2.25 2.25 0 005.258 13H.75a.75.75 0 01-.75-.75V1.75zm8.755 3a2.25 2.25 0 012.25-2.25H14.5v9h-3.757c-.71 0-1.4.201-1.992.572l.004-7.322zm-1.504 7.324l.004-5.073-.002-2.253A2.25 2.25 0 005.003 2.5H1.5v9h3.757a3.75 3.75 0 011.994.574z"></path></svg> </div> <div class="TimelineItem-body"> <span class="f5-light text-italic">An overview of the role of Machine Learning in hydraulic and hydrological modeling (2018)</span> </div> </div> </div> </details> <div class="border d-flex flex-column my-3 border-green"> <div class="p-2 pl-3 border"> <span class="f3 text-bold">NeuralHydrology - Interpreting LSTMs in Hydrology</span> <br /> <!-- LABEL --> <span title="Label: 2019" class="Label bg-yellow text-gray-dark">2019</span> <span title="Label: Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, Lecture Notes in Computer Science" class="Label bg-blue">Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, Lecture Notes in Computer Science</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1007/978-3-030-28954-6" target="_blank">DOI</a></span> <span title="Label: P.11.02" class="Label Label--outline text-mono">P.11.02</span> <span title="Label: 2019-11-19" class="Label Label--outline Label--outline-green">19 Nov 2019</span> <br /> <!-- TEXT --> <span class="text-italic">Kratzert, F., Herrnegger, M., Klotz, D., Hochreiter, S., Klambauer, G.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks</span> <br /> <!-- LABEL --> <span title="Label: 2018" class="Label bg-yellow text-gray-dark">2018</span> <span title="Label: Hydrology and Earth System Sciences" class="Label bg-blue">Hydrology and Earth System Sciences</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.5194/hess-22-6005-2018" target="_blank">DOI</a></span> <span title="Label: P.09.04" class="Label Label--outline text-mono">P.09.04</span> <span title="Label: 2019-11-18" class="Label Label--outline Label--outline-green">18 Nov 2019</span> <br /> <!-- TEXT --> <span class="text-italic">Kratzert, F., Klotz, D., Brenner, C., Schulz, K., Herrnegger, M.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">A Ranking of Hydrological Signatures Based on Their Predictability in Space</span> <br /> <!-- LABEL --> <span title="Label: 2018" class="Label bg-yellow text-gray-dark">2018</span> <span title="Label: Water Resources Research" class="Label bg-blue">Water Resources Research</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1029/2018WR022606" target="_blank">DOI</a></span> <span title="Label: P.07.03" class="Label Label--outline text-mono">P.07.03</span> <span title="Label: 2019-04-16" class="Label Label--outline Label--outline-green">16 Apr 2019</span> <br /> <!-- TEXT --> <span class="text-italic">Addor, N., Nearing, G., Prieto, C., Newman, A.J., Le Vine, N., Clark, M.P.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">OPTIMIZATION RAINFALL-RUNOFF MODELING FOR CIUJUNG RIVER USING BACK PROPAGATION METHOD</span> <br /> <!-- LABEL --> <span title="Label: 2018" class="Label bg-yellow text-gray-dark">2018</span> <span title="Label: SINERGI" class="Label bg-blue">SINERGI</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.22441/sinergi.2018.3.008" target="_blank">DOI</a></span> <span title="Label: P.07.05" class="Label Label--outline text-mono">P.07.05</span> <span title="Label: 2019-03-28" class="Label Label--outline Label--outline-green">28 Mar 2019</span> <br /> <!-- TEXT --> <span class="text-italic">Sebayang, I.S.D., Suroso, A., Laoli, A.G.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists</span> <br /> <!-- LABEL --> <span title="Label: 2018" class="Label bg-yellow text-gray-dark">2018</span> <span title="Label: Water Resources Research" class="Label bg-blue">Water Resources Research</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1029/2018WR022643" target="_blank">DOI</a></span> <span title="Label: P.08.10" class="Label Label--outline text-mono">P.08.10</span> <span title="Label: 2018-08-29" class="Label Label--outline Label--outline-green">29 Aug 2018</span> <br /> <!-- TEXT --> <span class="text-italic">Shen, C.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">What Large Sample Size Is Sufficient for Hydrologic Frequency Analysis?—A Rational Argument for a 30-Year Hydrologic Sample Size in Water Resources Management</span> <br /> <!-- LABEL --> <span title="Label: 2018" class="Label bg-yellow text-gray-dark">2018</span> <span title="Label: Water" class="Label bg-blue">Water</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10/gdsfpw" target="_blank">DOI</a></span> <span title="Label: P.08.14" class="Label Label--outline text-mono">P.08.14</span> <span title="Label: 2018-08-14" class="Label Label--outline Label--outline-green">14 Aug 2018</span> <br /> <!-- TEXT --> <span class="text-italic">Li, H., Sun, J., Zhang, H., Zhang, J., Jung, K., Kim, J., Xuan, Y., Wang, X., Li, F.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">An overview of the role of Machine Learning in hydraulic and hydrological modeling</span> <br /> <!-- LABEL --> <span title="Label: 2018" class="Label bg-yellow text-gray-dark">2018</span> <span title="Label: engrXiv" class="Label bg-blue">engrXiv</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.31224/osf.io/wgm72" target="_blank">DOI</a></span> <span title="Label: P.08.16" class="Label Label--outline text-mono">P.08.16</span> <br /> <!-- TEXT --> <span class="text-italic">Carbajal, J. P., &amp; Bellos, V.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Urban Water Flow and Water Level Prediction Based on Deep Learning</span> <br /> <!-- LABEL --> <span title="Label: 2017" class="Label bg-yellow text-gray-dark">2017</span> <span title="Label: Machine Learning and Knowledge Discovery in Databases" class="Label bg-blue">Machine Learning and Knowledge Discovery in Databases</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1007/978-3-319-71273-4_26" target="_blank">DOI</a></span> <span title="Label: P.07.02" class="Label Label--outline text-mono">P.07.02</span> <span title="Label: 2019-03-19" class="Label Label--outline Label--outline-green">19 Mar 2019</span> <br /> <!-- TEXT --> <span class="text-italic">Assem, H., Ghariba, S., Makrai, G., Johnston, P., Gill, L., Pilla, F.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Prospective Interest of Deep Learning for Hydrological Inference</span> <br /> <!-- LABEL --> <span title="Label: 2017" class="Label bg-yellow text-gray-dark">2017</span> <span title="Label: Groundwater" class="Label bg-blue">Groundwater</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1111/gwat.12557" target="_blank">DOI</a></span> <span title="Label: P.A.m3" class="Label Label--outline text-mono">P.A.m3</span> <span title="Label: 2019-03-13" class="Label Label--outline Label--outline-green">13 Mar 2019</span> <br /> <!-- TEXT --> <span class="text-italic">Marçais, J., de Dreuzy, J.-R.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">MODEL PERAMALAN DEBIT ALIRAN SUNGAI MENGGUNAKAN METODE GABUNGAN SELF ORGANIZING MAPS – ARTIFICIAL NEURAL NETWORK (Studi Kasus: Sungai Tapung Kiri)</span> <br /> <!-- LABEL --> <span title="Label: 2017" class="Label bg-yellow text-gray-dark">2017</span> <span title="Label: Jom FTEKNIK" class="Label bg-blue">Jom FTEKNIK</span> <span title="Label: P.08.17" class="Label Label--outline text-mono">P.08.17</span> <span title="Label: 2018-08-03" class="Label Label--outline Label--outline-green">03 Aug 2018</span> <br /> <!-- TEXT --> <span class="text-italic">Tsauri, M.I.I., Suprayogi, I., Fauzi, M.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Rainfall Monthly Prediction Based on Artificial Neural Network: A Case Study in Tenggarong Station, East Kalimantan - Indonesia</span> <br /> <!-- LABEL --> <span title="Label: 2015" class="Label bg-yellow text-gray-dark">2015</span> <span title="Label: Procedia Computer Science" class="Label bg-blue">Procedia Computer Science</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1016/j.procs.2015.07.528" target="_blank">DOI</a></span> <span title="Label: P.08.20" class="Label Label--outline text-mono">P.08.20</span> <span title="Label: 2018-08-16" class="Label Label--outline Label--outline-green">16 Aug 2018</span> <br /> <!-- TEXT --> <span class="text-italic">Mislan, Haviluddin, Hardwinarto, S., Sumaryono, Aipassa, M.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Support vector machine applications in the field of hydrology: A review</span> <br /> <!-- LABEL --> <span title="Label: 2014" class="Label bg-yellow text-gray-dark">2014</span> <span title="Label: Applied Soft Computing" class="Label bg-blue">Applied Soft Computing</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1016/j.asoc.2014.02.002" target="_blank">DOI</a></span> <span title="Label: P.07.04" class="Label Label--outline text-mono">P.07.04</span> <span title="Label: 2019-04-15" class="Label Label--outline Label--outline-green">15 Apr 2019</span> <br /> <!-- TEXT --> <span class="text-italic">Raghavendra. N, S., Deka, P.C.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Radial Basis Function Neural Network for Modeling Rating Curves</span> <br /> <!-- LABEL --> <span title="Label: 2003" class="Label bg-yellow text-gray-dark">2003</span> <span title="Label: Journal of Hydrologic Engineering" class="Label bg-blue">Journal of Hydrologic Engineering</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1061/(ASCE)1084-0699(2003)8:3(161)" target="_blank">DOI</a></span> <span title="Label: P.08.13" class="Label Label--outline text-mono">P.08.13</span> <span title="Label: 2019-04-29" class="Label Label--outline Label--outline-green">29 Apr 2019</span> <br /> <!-- TEXT --> <span class="text-italic">Sudheer, K.P., Jain, S.K.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Artificial Neural Networks in Hydrology. II: Hydrologic Applications</span> <br /> <!-- LABEL --> <span title="Label: 2000" class="Label bg-yellow text-gray-dark">2000</span> <span title="Label: Journal of Hydrologic Engineering" class="Label bg-blue">Journal of Hydrologic Engineering</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1061/(ASCE)1084-0699(2000)5:2(124)" target="_blank">DOI</a></span> <span title="Label: P.A.m1" class="Label Label--outline text-mono">P.A.m1</span> <span title="Label: 2019-03-04" class="Label Label--outline Label--outline-green">04 Mar 2019</span> <br /> <!-- TEXT --> <span class="text-italic">ASCE Task Committee on Application of Artificial Neural Networks in Hydrology,</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Artificial Neural Networks in Hydrology. I: Preliminary Concepts</span> <br /> <!-- LABEL --> <span title="Label: 2000" class="Label bg-yellow text-gray-dark">2000</span> <span title="Label: Journal of Hydrologic Engineering" class="Label bg-blue">Journal of Hydrologic Engineering</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1061/(ASCE)1084-0699(2000)5:2(115)" target="_blank">DOI</a></span> <span title="Label: P.A.m2" class="Label Label--outline text-mono">P.A.m2</span> <span title="Label: 2019-02-27" class="Label Label--outline Label--outline-green">27 Feb 2019</span> <br /> <!-- TEXT --> <span class="text-italic">ASCE Task Committee on Application of Artificial Neural Networks in Hydrology</span><br /> </div> </div> <p><span class="Label Label--orange text-mono text-small text-center">Jumlah: 15 Makalah</span></p> <hr /> <h2 id="dropbox"><em>Dropbox</em></h2> <p>Berikut daftar makalah yang saya kumpulkan untuk dibaca. 😁.</p> <div class="border d-flex flex-column my-3 border-green"> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Explaining and Interpreting LSTMs</span> <br /> <!-- LABEL --> <span title="Label: 2019" class="Label bg-yellow text-gray-dark">2019</span> <span title="Label: Explainable AI: Interpreting, Explaining and Visualizing Deep Learning" class="Label bg-blue">Explainable AI: Interpreting, Explaining and Visualizing Deep Learning</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1007/978-3-030-28954-6_11" target="_blank">DOI</a></span> <span title="Label: P.11.01" class="Label Label--outline text-mono">P.11.01</span> <br /> <!-- TEXT --> <span class="text-italic">Arras, L., Arjona-Medina, J., Widrich, M., Montavon, G., Gillhofer, M., Müller, K.-R., Hochreiter, S., Samek, W.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting</span> <br /> <!-- LABEL --> <span title="Label: 2019" class="Label bg-yellow text-gray-dark">2019</span> <span title="Label: Water" class="Label bg-blue">Water</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.3390/w11071387" target="_blank">DOI</a></span> <span title="Label: P.09.02" class="Label Label--outline text-mono">P.09.02</span> <br /> <!-- TEXT --> <span class="text-italic">Le, Ho, Lee, Jung</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Water quality prediction based on recurrent neural network and improved evidence theory: a case study of Qiantang River, China</span> <br /> <!-- LABEL --> <span title="Label: 2019" class="Label bg-yellow text-gray-dark">2019</span> <span title="Label: Environmental Science and Pollution Research" class="Label bg-blue">Environmental Science and Pollution Research</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1007/s11356-019-05116-y" target="_blank">DOI</a></span> <span title="Label: P.09.01" class="Label Label--outline text-mono">P.09.01</span> <br /> <!-- TEXT --> <span class="text-italic">Li, L., Jiang, P., Xu, H., Lin, G., Guo, D., Wu, H.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Deep-Learning Approach to the Detection and Localization of Cyber-Physical Attacks on Water Distribution Systems</span> <br /> <!-- LABEL --> <span title="Label: 2018" class="Label bg-yellow text-gray-dark">2018</span> <span title="Label: Journal of Water Resources Planning and Management" class="Label bg-blue">Journal of Water Resources Planning and Management</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1061/(ASCE)WR.1943-5452.0000983" target="_blank">DOI</a></span> <span title="Label: P.08.19" class="Label Label--outline text-mono">P.08.19</span> <br /> <!-- TEXT --> <span class="text-italic">Taormina, R., Galelli, S.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">An IoT-Big Data Based Machine Learning Technique for Forecasting Water Requirement in Irrigation Field</span> <br /> <!-- LABEL --> <span title="Label: 2018" class="Label bg-yellow text-gray-dark">2018</span> <span title="Label: Research and Practical Issues of Enterprise Information Systems" class="Label bg-blue">Research and Practical Issues of Enterprise Information Systems</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1007/978-3-319-94845-4_7" target="_blank">DOI</a></span> <span title="Label: P.08.15" class="Label Label--outline text-mono">P.08.15</span> <br /> <!-- TEXT --> <span class="text-italic">Ahmed, F.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Water quality prediction method based on LSTM neural network</span> <br /> <!-- LABEL --> <span title="Label: 2017" class="Label bg-yellow text-gray-dark">2017</span> <span title="Label: 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)" class="Label bg-blue">12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1109/ISKE.2017.8258814" target="_blank">DOI</a></span> <span title="Label: P.09.03" class="Label Label--outline text-mono">P.09.03</span> <br /> <!-- TEXT --> <span class="text-italic">Wang, Yuanyuan, Zhou, J., Chen, K., Wang, Yunyun, Liu, L.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">A Flood Forecasting Model Based on Deep Learning Algorithm via Integrating Stacked Autoencoders with BP Neural Network</span> <br /> <!-- LABEL --> <span title="Label: 2017" class="Label bg-yellow text-gray-dark">2017</span> <span title="Label: IEEE Third International Conference on Multimedia Big Data (BigMM)" class="Label bg-blue">IEEE Third International Conference on Multimedia Big Data (BigMM)</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1109/BigMM.2017.29" target="_blank">DOI</a></span> <span title="Label: P.08.18" class="Label Label--outline text-mono">P.08.18</span> <br /> <!-- TEXT --> <span class="text-italic">Liu, F., Xu, F., Yang, S.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">SVM or deep learning? A comparative study on remote sensing image classification</span> <br /> <!-- LABEL --> <span title="Label: 2017" class="Label bg-yellow text-gray-dark">2017</span> <span title="Label: Soft Computing" class="Label bg-blue">Soft Computing</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1007/s00500-016-2247-2" target="_blank">DOI</a></span> <span title="Label: P.08.08" class="Label Label--outline text-mono">P.08.08</span> <br /> <!-- TEXT --> <span class="text-italic">Liu, P., Choo, K.-K.R., Wang, L., Huang, F.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">SOM-Based Decision Support System for Reservoir Operation Management</span> <br /> <!-- LABEL --> <span title="Label: 2017" class="Label bg-yellow text-gray-dark">2017</span> <span title="Label: Journal of Hydrologic Engineering" class="Label bg-blue">Journal of Hydrologic Engineering</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1061/(ASCE)HE.1943-5584.0001496" target="_blank">DOI</a></span> <span title="Label: P.08.05" class="Label Label--outline text-mono">P.08.05</span> <br /> <!-- TEXT --> <span class="text-italic">Rodríguez-Alarcón, R., Lozano, S.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Wetland Water-Level Prediction Using ANN in Conjunction with Base-Flow Recession Analysis</span> <br /> <!-- LABEL --> <span title="Label: 2017" class="Label bg-yellow text-gray-dark">2017</span> <span title="Label: Journal of Hydrologic Engineering" class="Label bg-blue">Journal of Hydrologic Engineering</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1061/(ASCE)HE.1943-5584.0001276" target="_blank">DOI</a></span> <span title="Label: P.08.04" class="Label Label--outline text-mono">P.08.04</span> <br /> <!-- TEXT --> <span class="text-italic">Rezaeianzadeh, M., Kalin, L., Anderson, C.J.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">An Overview of Big Data Applications in Water Resources Engineering</span> <br /> <!-- LABEL --> <span title="Label: 2017" class="Label bg-yellow text-gray-dark">2017</span> <span title="Label: Machine Learning Research" class="Label bg-blue">Machine Learning Research</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.11648/j.mlr.20170201.12" target="_blank">DOI</a></span> <span title="Label: P.08.03" class="Label Label--outline text-mono">P.08.03</span> <br /> <!-- TEXT --> <span class="text-italic">Adamala, S.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Runoff Projection under Climate Change Conditions with Data-Mining Methods</span> <br /> <!-- LABEL --> <span title="Label: 2017" class="Label bg-yellow text-gray-dark">2017</span> <span title="Label: Journal of Irrigation and Drainage Engineering" class="Label bg-blue">Journal of Irrigation and Drainage Engineering</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1061/(ASCE)IR.1943-4774.0001205" target="_blank">DOI</a></span> <span title="Label: P.08.02" class="Label Label--outline text-mono">P.08.02</span> <br /> <!-- TEXT --> <span class="text-italic">Sarzaeim, P., Bozorg-Haddad, O., Bozorgi, A., Loáiciga, H.A.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Monthly Water Consumption Prediction Using Season Algorithm and Wavelet Transform–Based Models</span> <br /> <!-- LABEL --> <span title="Label: 2017" class="Label bg-yellow text-gray-dark">2017</span> <span title="Label: Journal of Water Resources Planning and Management" class="Label bg-blue">Journal of Water Resources Planning and Management</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1061/(ASCE)WR.1943-5452.0000761" target="_blank">DOI</a></span> <span title="Label: P.08.01" class="Label Label--outline text-mono">P.08.01</span> <br /> <!-- TEXT --> <span class="text-italic">Altunkaynak, A., Nigussie, T.A.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models</span> <br /> <!-- LABEL --> <span title="Label: 2016" class="Label bg-yellow text-gray-dark">2016</span> <span title="Label: Journal of Hydrology" class="Label bg-blue">Journal of Hydrology</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1016/j.jhydrol.2015.11.011" target="_blank">DOI</a></span> <span title="Label: P.08.06" class="Label Label--outline text-mono">P.08.06</span> <br /> <!-- TEXT --> <span class="text-italic">Bai, Y., Chen, Z., Xie, J., Li, C.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">A review on flood modelling and rainfall-runoff relationships</span> <br /> <!-- LABEL --> <span title="Label: 2015" class="Label bg-yellow text-gray-dark">2015</span> <span title="Label: IEEE 6th Control and System Graduate Research Colloquium (ICSGRC)" class="Label bg-blue">IEEE 6th Control and System Graduate Research Colloquium (ICSGRC)</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1109/ICSGRC.2015.7412484" target="_blank">DOI</a></span> <span title="Label: P.08.07" class="Label Label--outline text-mono">P.08.07</span> <br /> <!-- TEXT --> <span class="text-italic">Jaafar, K., Ismail, N., Tajjudin, M., Adnan, R., Rahiman, M.H.F.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">A rainfall forecasting method using machine learning models and its application to the Fukuoka city case</span> <br /> <!-- LABEL --> <span title="Label: 2012" class="Label bg-yellow text-gray-dark">2012</span> <span title="Label: International Journal of Applied Mathematics and Computer Science" class="Label bg-blue">International Journal of Applied Mathematics and Computer Science</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.2478/v10006-012-0062-1" target="_blank">DOI</a></span> <span title="Label: P.08.09" class="Label Label--outline text-mono">P.08.09</span> <br /> <!-- TEXT --> <span class="text-italic">Sumi, S.M., Zaman, M.F., Hirose, H.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Rainfall forecasting by technological machine learning models</span> <br /> <!-- LABEL --> <span title="Label: 2008" class="Label bg-yellow text-gray-dark">2008</span> <span title="Label: Applied Mathematics and Computation" class="Label bg-blue">Applied Mathematics and Computation</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1016/j.amc.2007.10.046" target="_blank">DOI</a></span> <span title="Label: P.08.12" class="Label Label--outline text-mono">P.08.12</span> <br /> <!-- TEXT --> <span class="text-italic">Hong, W.-C.</span><br /> </div> <div class="p-2 pl-3 border"> <span class="f3 text-bold">Rainfall-runoff model usingan artificial neural network approach</span> <br /> <!-- LABEL --> <span title="Label: 2004" class="Label bg-yellow text-gray-dark">2004</span> <span title="Label: Mathematical and Computer Modelling" class="Label bg-blue">Mathematical and Computer Modelling</span> <span title="Label: DOI" class="Label Label--gray"><a href="https://doi.org/10.1016/j.mcm.2004.10.012" target="_blank">DOI</a></span> <span title="Label: P.08.11" class="Label Label--outline text-mono">P.08.11</span> <br /> <!-- TEXT --> <span class="text-italic">Riad, S., Mania, J., Bouchaou, L., Najjar, Y.</span><br /> </div> </div> <p><span class="Label Label--orange text-mono text-small text-center">Jumlah: 18 Makalah</span></p> <hr />Taruma S. Megariansyahhi@taruma.infoTulisan ini merupakan catatan pribadi.Dan dapat berubah-ubah.Persamaan LSTM2020-02-14T00:00:00+00:002020-02-14T00:00:00+00:00https://taruma.github.io/vivaldi/persamaan-lstm<div align="center"> <div class="Toast Toast--warning googoo"> <span class="Toast-icon"><svg class="octicon octicon-alert" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M8.22 1.754a.25.25 0 00-.44 0L1.698 13.132a.25.25 0 00.22.368h12.164a.25.25 0 00.22-.368L8.22 1.754zm-1.763-.707c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0114.082 15H1.918a1.75 1.75 0 01-1.543-2.575L6.457 1.047zM9 11a1 1 0 11-2 0 1 1 0 012 0zm-.25-5.25a.75.75 0 00-1.5 0v2.5a.75.75 0 001.5 0v-2.5z"></path></svg></span> <span class="Toast-content">Tulisan ini merupakan catatan pribadi.<br />Dan dapat berubah-ubah.</span> </div> </div> <p>Tulisan dibawah ini merupakan ringkasan (dan catatan tambahan pribadi) dari makalah berjudul “<em>Rainfall-runoff modelling using Long Short-Term Memory (LSTM) networks</em>” oleh Kratzert, dkk (2018)<sup id="fnref:1" role="doc-noteref"><a href="#fn:1" class="footnote" rel="footnote">1</a></sup>.</p> <hr /> <h2 class="no_toc" id="informasi-tulisan">Informasi Tulisan</h2> <table> <tbody> <tr> <td>Jenis Tulisan</td> <td>Catatan Pribadi</td> </tr> <tr> <td>Unduh (Tulisan Tangan)</td> <td><a href="https://1drv.ms/b/s!AmxSTa4UunElhoYjjYF_OAum4VVy9w?e=pUm9d6">OneDrive (PDF)</a></td> </tr> <tr> <td>Ilustrasi</td> <td>Berdasarkan <sup id="fnref:1:1" role="doc-noteref"><a href="#fn:1" class="footnote" rel="footnote">1</a></sup></td> </tr> </tbody> </table> <hr /> <h2 class="no_toc" id="daftar-isi">DAFTAR ISI</h2> <ol id="markdown-toc"> <li><a href="#recurrent-neural-networks-rnn" id="markdown-toc-recurrent-neural-networks-rnn"><em>Recurrent Neural Networks</em> (RNN)</a></li> <li><a href="#long-short-term-memory-lstm" id="markdown-toc-long-short-term-memory-lstm"><em>Long Short-Term Memory</em> (LSTM)</a> <ol> <li><a href="#forget-gate-boldsymbolf" id="markdown-toc-forget-gate-boldsymbolf"><em>Forget Gate</em> ($\boldsymbol{f}$)</a></li> <li><a href="#potential-update-vector-widetildeboldsymbolc_t" id="markdown-toc-potential-update-vector-widetildeboldsymbolc_t"><em>Potential Update Vector</em> ($\widetilde{\boldsymbol{c}}_t$)</a></li> <li><a href="#input-gate-boldsymboli" id="markdown-toc-input-gate-boldsymboli"><em>Input Gate</em> ($\boldsymbol{i}$)</a></li> <li><a href="#cell-state-boldsymbolc_t" id="markdown-toc-cell-state-boldsymbolc_t"><em>Cell State</em> ($\boldsymbol{c}_t$)</a></li> <li><a href="#output-gate-boldsymbolo" id="markdown-toc-output-gate-boldsymbolo"><em>Output Gate</em> ($\boldsymbol{o}$)</a></li> <li><a href="#hidden-state-lstm-boldsymbolh_t" id="markdown-toc-hidden-state-lstm-boldsymbolh_t"><em>Hidden state</em> (LSTM) ($\boldsymbol{h}_t$)</a></li> <li><a href="#finaloutput-layer-y" id="markdown-toc-finaloutput-layer-y"><em>Final/Output layer</em> ($y$)</a></li> </ol> </li> <li><a href="#ringkasan-persamaan" id="markdown-toc-ringkasan-persamaan">Ringkasan Persamaan</a></li> </ol> <hr /> <p><img src="images/eq_lstm/00_general.png" alt="Contoh Umum RNN dua layer" title="Contoh Umum RNN Dua Layer (gambar ulang dari makalah)" /></p> <h2 id="recurrent-neural-networks-rnn"><em>Recurrent Neural Networks</em> (RNN)</h2> <p><img src="images/eq_lstm/01_rnn.png" alt="" title="Sel Recurrent Neural Networks" /></p> <p>Pada sel RNN, hanya terdapat satu <em>internal state</em> $h_t$.</p> \[\boldsymbol{h}_t = g(\mathbf{W}\boldsymbol{x}_t + \mathbf{U} \boldsymbol{h}_{t-1} + \boldsymbol{b})\] <p>dengan:</p> <ul> <li>$g(\cdot)$ sebagai <em>activation function</em>, yang digunakan biasanya $\tanh(\cdot)$.</li> <li>$\mathbf{W}$ dan $\mathbf{U}$ merupakan matriks bobot dari <em>hidden state</em> dan input $\boldsymbol{x}$.</li> <li>$\boldsymbol{b}$ merupakan bias.</li> </ul> <p>catatan:</p> <ul> <li>$\mathbf{W}, \mathbf{U}, \boldsymbol{b}$ dapat disesuaikan (<em>adjustable</em>).</li> <li>$\boldsymbol{h}_t$ diinisiasi dengan nilai $\vec{0}$.</li> </ul> <hr /> <h2 id="long-short-term-memory-lstm"><em>Long Short-Term Memory</em> (LSTM)</h2> <p><img src="images/eq_lstm/02_lstm.png" alt="" title="Sel Long Short-Term Memory" /></p> <p>Sebagai perbandingan, LSTM memiliki:</p> <ol> <li><em>cell state</em> tambahan atau sel memori $\boldsymbol{c}_t$.</li> <li><em>gate</em> yang mengatur alur informasi pada sel LSTM.</li> </ol> <h2 class="no_toc" id="lstm-gate">LSTM GATE</h2> <h3 id="forget-gate-boldsymbolf"><em>Forget Gate</em> ($\boldsymbol{f}$)</h3> <p><em>Forget gate</em> $\boldsymbol{f}$, mengatur elemen dari vektor <em>cell state</em> $\boldsymbol{c}_{t-1}$ yang akan dilupakan:</p> \[\boldsymbol{f}_t = \sigma(\mathbf{W}_f\boldsymbol{x}_t+\mathbf{U}_f\boldsymbol{h}_{t-1}+\boldsymbol{b}_f)\] <p>dengan:</p> <ul> <li>$\sigma(\cdot)$ merupakan persamaan logistik sigmoid.</li> <li>$\mathbf{W}_f, \mathbf{U}_f, \boldsymbol{b}_f$ merupakan set parameter yang dapat dilatih di <em>forget gate</em>.</li> </ul> <h3 id="potential-update-vector-widetildeboldsymbolc_t"><em>Potential Update Vector</em> ($\widetilde{\boldsymbol{c}}_t$)</h3> <p>Selanjutnya, <em>potential update vector</em> untuk <em>cell state</em> $\widetilde{\boldsymbol{c}}_t$.</p> \[\widetilde{\boldsymbol{c}}_t=\tanh(\mathbf{W}_{\widetilde{c}}\boldsymbol{x}_t+\mathbf{U}_{\widetilde{c}}\boldsymbol{h}_{t-1}+\boldsymbol{b}_{\widetilde{c}})\] <p>dengan:</p> <ul> <li>$\widetilde{\boldsymbol{c}}_t$ vektor bernilai rentang $(-1, 1)$.</li> <li>$\tanh(\cdot)$ merupakan fungsi hiperbolik tangen.</li> <li>$\mathbf{W}_{\widetilde{c}}, \mathbf{U}_{\widetilde{c}}, \boldsymbol{b}_{\widetilde{c}}$ merupakan <em>learnable parameters</em>.</li> </ul> <h3 id="input-gate-boldsymboli"><em>Input Gate</em> ($\boldsymbol{i}$)</h3> <p><em>Input gate</em> menentukan informasi dari $\widetilde{\boldsymbol{c}}_t$ yang digunakan untuk memperbarui <em>cell state</em> pada <em>current timestep</em>.</p> \[\boldsymbol{i}_t=\sigma({\mathbf{W}_i\boldsymbol{x}_t+\mathbf{U}_i\boldsymbol{h}_{t-1}+\boldsymbol{b}_i})\] <p>dengan:</p> <ul> <li>$\boldsymbol{i}_t$, vektor bernilai antara $(0, 1)$.</li> <li>$\mathbf{W}_i, \mathbf{U}_i, \boldsymbol{b}_i$: <em>learnable parameters</em>.</li> </ul> <h3 id="cell-state-boldsymbolc_t"><em>Cell State</em> ($\boldsymbol{c}_t$)</h3> <p>Nilai <em>cell state</em> diperbarui dengan:</p> \[\boldsymbol{c}_t=\boldsymbol{f}_t\odot\boldsymbol{c}_{t-1}+\boldsymbol{i}_t\odot\widetilde{\boldsymbol{c}}_t\] <p>dengan:</p> <ul> <li>$\boldsymbol{f}_t, \boldsymbol{i}_t$ bernilai pada rentang $(0, 1)$. Variabel tersebut menentukan nilai pada $\boldsymbol{c}_{t-1}, \widetilde{\boldsymbol{c}}_t$ yang perlu diingat $(\boldsymbol{f}_t \approx \vec{1}, \boldsymbol{i}_t\approx\vec{1})$ atau dilupakan $(\boldsymbol{f}_t\approx\vec{0}, \boldsymbol{i}_t\approx\vec{0})$</li> </ul> <p>catatan:</p> <ul> <li>seperti <em>hidden state</em>, <em>cell state</em> diinisiasi dengan nilai $\vec{0}$.</li> </ul> <h3 id="output-gate-boldsymbolo"><em>Output Gate</em> ($\boldsymbol{o}$)</h3> <p><em>Output gate</em> $\boldsymbol{o}$ mengatur informasi dari $\boldsymbol{c}_t$ yang masuk ke <em>hidden state</em> $\boldsymbol{h}_t$.</p> \[\boldsymbol{o}_t=\sigma(\mathbf{W}_o\boldsymbol{x}_t+\mathbf{U}_o\boldsymbol{h}_{t-1}+\boldsymbol{b}_o)\] <p>dengan:</p> <ul> <li>$\boldsymbol{o}_t$, vektor bernilai antara $(0, 1)$.</li> <li>$\mathbf{W}_o, \mathbf{U}_o, \boldsymbol{b}_o$ merupakan <em>learnable parameters</em>.</li> </ul> <h3 id="hidden-state-lstm-boldsymbolh_t"><em>Hidden state</em> (LSTM) ($\boldsymbol{h}_t$)</h3> <p>dari $\boldsymbol{o}_t$, diperoleh nilai baru $\boldsymbol{h}_t$:</p> \[\boldsymbol{h}_t=\tanh(\boldsymbol{c}_t)\cdot\boldsymbol{o}_t\] <h3 id="finaloutput-layer-y"><em>Final/Output layer</em> ($y$)</h3> <p>pada layer terakhir, nilai hasil sel dihubungkan dengan jaringan/neuron dengan keluaran tunggal.</p> \[y=\mathbf{W}_d\boldsymbol{h}_n+\boldsymbol{b}_d\] <p>dengan:</p> <ul> <li>$y$: nilai debit/limpasan.</li> <li>$\boldsymbol{h}_n$: hasil dari sel terakhir.</li> <li>$\mathbf{W}_d$ sebagai bobot neuron dan $\boldsymbol{b}_d$ sebagai bias.</li> </ul> <h2 id="ringkasan-persamaan">Ringkasan Persamaan</h2> <p><img src="images/eq_lstm/03_lstm_detail.png" alt="" title="Persamaan LSTM (Detail)" /></p> <table> <thead> <tr> <th style="text-align: left">No</th> <th style="text-align: center">Persamaan</th> <th style="text-align: left">Fungsi</th> </tr> </thead> <tbody> <tr> <td style="text-align: left">1</td> <td style="text-align: center">\(\boldsymbol{h}_t = g(\mathbf{W}\boldsymbol{x}_t + \mathbf{U} \boldsymbol{h}_{t-1} + \boldsymbol{b})\)</td> <td style="text-align: left"><em>hidden state</em> (RNN)</td> </tr> <tr> <td style="text-align: left">2</td> <td style="text-align: center">\(\boldsymbol{f}_t = \sigma(\mathbf{W}_f\boldsymbol{x}_t+\mathbf{U}_f\boldsymbol{h}_{t-1}+\boldsymbol{b}_f)\)</td> <td style="text-align: left"><em>forget gate</em></td> </tr> <tr> <td style="text-align: left">3</td> <td style="text-align: center">\(\widetilde{\boldsymbol{c}}_t=\tanh(\mathbf{W}_{\widetilde{c}}\boldsymbol{x}_t+\mathbf{U}_{\widetilde{c}}\boldsymbol{h}_{t-1}+\boldsymbol{b}_{\widetilde{c}})\)</td> <td style="text-align: left"><em>potential vector update</em></td> </tr> <tr> <td style="text-align: left">4</td> <td style="text-align: center">\(\boldsymbol{i}_t=\sigma({\mathbf{W}_i\boldsymbol{x}_t+\mathbf{U}_i\boldsymbol{h}_{t-1}+\boldsymbol{b}_i})\)</td> <td style="text-align: left"><em>input gate</em></td> </tr> <tr> <td style="text-align: left">5</td> <td style="text-align: center">\(\boldsymbol{c}_t=\boldsymbol{f}_t\odot\boldsymbol{c}_{t-1}+\boldsymbol{i}_t\odot\widetilde{\boldsymbol{c}}_t\)</td> <td style="text-align: left"><em>cell state</em></td> </tr> <tr> <td style="text-align: left">6</td> <td style="text-align: center">\(\boldsymbol{o}_t=\sigma(\mathbf{W}_o\boldsymbol{x}_t+\mathbf{U}_o\boldsymbol{h}_{t-1}+\boldsymbol{b}_o)\)</td> <td style="text-align: left"><em>output gate</em></td> </tr> <tr> <td style="text-align: left">7</td> <td style="text-align: center">\(\boldsymbol{h}_t=\tanh(\boldsymbol{c}_t)\cdot\boldsymbol{o}_t\)</td> <td style="text-align: left"><em>hidden state</em> (LSTM)</td> </tr> <tr> <td style="text-align: left">8</td> <td style="text-align: center">\(y=\mathbf{W}_d\boldsymbol{h}_n+\boldsymbol{b}_d\)</td> <td style="text-align: left"><em>final/dense layer</em></td> </tr> </tbody> </table> <hr /> <p>Catatan:</p> <ul> <li>\(\mathbf{x} = \left[\boldsymbol{x}_1, \boldsymbol{x}_2, \cdots, \boldsymbol{x}_n \right]\), merupakan masukan observasi meteorologi dengan <em>complete sequence</em>. Dengan $n$ merupakan jumlah <em>timestep</em> yang digunakan. <ul> <li>Untuk setiap langkah (<em>timesteps</em>), $\boldsymbol{x}_t$ merupakan vektor berisikan informasi meteorologi pada langkah $t$.</li> </ul> </li> <li>Pada kasus lapisan LSTM berganda (<em>multiple-stacked</em> LSTM), lapisan berikutnya menerima hasil dari layer sebelumnya, $\mathbf{h}=[\boldsymbol{h}_1, \boldsymbol{h}_2, \cdots, \boldsymbol{h}_n]$.</li> <li>Nilai akhir dihitung menggunakan keluaran $\boldsymbol{h}_n$.</li> </ul> <hr /> <div class="footnotes" role="doc-endnotes"> <ol> <li id="fn:1" role="doc-endnote"> <p>Kratzert, F., Klotz, D., Brenner, C., Schulz, K., Herrnegger, M., 2018. Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks. Hydrology and Earth System Sciences 22, 6005–6022. https://doi.org/10.5194/hess-22-6005-2018 <a href="#fnref:1" class="reversefootnote" role="doc-backlink">&#8617;</a> <a href="#fnref:1:1" class="reversefootnote" role="doc-backlink">&#8617;<sup>2</sup></a></p> </li> </ol> </div>Taruma S. Megariansyahhi@taruma.infoTulisan ini merupakan catatan pribadi.Dan dapat berubah-ubah.LI4: Perbandingan Model Variasi RNN2020-02-11T00:00:00+00:002020-02-11T00:00:00+00:00https://taruma.github.io/vivaldi/laporan-implementasi-4<table> <tbody> <tr> <td>Judul</td> <td><strong>Perbandingan model variasi <em>Recurrent Neural Networks</em> (RNN) pada kasus prediksi debit aliran.</strong></td> </tr> <tr> <td>Tanggal Publikasi</td> <td>11 Februari 2020 (1.0.0)</td> </tr> <tr> <td>Unduh</td> <td><a href="https://1drv.ms/b/s!AmxSTa4UunElhoVm7i0EuKdPkPlzVg?e=rjXNpf">OneDrive (PDF)</a></td> </tr> <tr> <td>Lihat</td> <td><a href="https://colab.research.google.com/drive/18U8SLe9mgCs570rVDhjypTuxK0eWPy1n">Google Colab</a>, <a href="https://gist.github.com/taruma/9d1ef5c6d629c792bed0c3f68b324675">Github Gist</a>, <a href="https://nbviewer.jupyter.org/gist/taruma/9d1ef5c6d629c792bed0c3f68b324675">NBViewer</a></td> </tr> <tr> <td>Tool</td> <td>tensorflow, keras, numpy, pandas, matplotlib, hidrokit, hydroerr, seaborn</td> </tr> <tr> <td>Fokus</td> <td>implementasi rnn, visualisasi data/hasil, membandingkan model</td> </tr> <tr> <td>Lisensi</td> <td>MIT, CC-BY-4.0</td> </tr> </tbody> </table> <hr /> <ol id="markdown-toc"> <li><a href="#grafikplot-pada-laporan" id="markdown-toc-grafikplot-pada-laporan">Grafik/Plot Pada Laporan</a> <ol> <li><a href="#tahap-3-input-model" id="markdown-toc-tahap-3-input-model">TAHAP 3: INPUT MODEL</a> <ol> <li><a href="#matriks-korelasi-dataset" id="markdown-toc-matriks-korelasi-dataset">Matriks Korelasi Dataset</a></li> <li><a href="#grafik-pairplot-dataset" id="markdown-toc-grafik-pairplot-dataset">Grafik <code class="language-plaintext highlighter-rouge">PairPlot</code> Dataset</a></li> </ol> </li> <li><a href="#tahap-4-model-konseptual" id="markdown-toc-tahap-4-model-konseptual">TAHAP 4: MODEL KONSEPTUAL</a> <ol> <li><a href="#nreca-bulanan" id="markdown-toc-nreca-bulanan">NRECA (Bulanan)</a></li> <li><a href="#nreca-2-periode" id="markdown-toc-nreca-2-periode">NRECA (2 Periode)</a></li> <li><a href="#fjmock-bulanan" id="markdown-toc-fjmock-bulanan">FJMOCK (Bulanan)</a></li> <li><a href="#fjmock-2-periode" id="markdown-toc-fjmock-2-periode">FJMOCK (2 Periode)</a></li> </ol> </li> <li><a href="#tahap-6-visualisasi" id="markdown-toc-tahap-6-visualisasi">TAHAP 6: VISUALISASI</a> <ol> <li><a href="#grafik-r2" id="markdown-toc-grafik-r2">Grafik $R^2$</a></li> <li><a href="#perbandingan-metrik-terhadap-timesteps" id="markdown-toc-perbandingan-metrik-terhadap-timesteps">Perbandingan metrik terhadap <em>timesteps</em></a></li> <li><a href="#history-model" id="markdown-toc-history-model"><code class="language-plaintext highlighter-rouge">history</code> model</a></li> <li><a href="#perbandingan-hidrograf" id="markdown-toc-perbandingan-hidrograf">Perbandingan hidrograf</a></li> <li><a href="#perbandingan-nilai-metrik-antar-model" id="markdown-toc-perbandingan-nilai-metrik-antar-model">Perbandingan nilai metrik antar model</a></li> <li><a href="#perbandingan-kurva-debit" id="markdown-toc-perbandingan-kurva-debit">Perbandingan kurva debit</a></li> <li><a href="#perbandingan-nilai-debit-andal" id="markdown-toc-perbandingan-nilai-debit-andal">Perbandingan nilai debit andal</a></li> </ol> </li> </ol> </li> </ol> <hr /> <h2 id="grafikplot-pada-laporan">Grafik/Plot Pada Laporan</h2> <p>Jika grafik pada laporan (pdf) tidak terlihat jelas, terlampir daftar grafik yang disimpan pada laporan ini.</p> <h3 id="tahap-3-input-model">TAHAP 3: INPUT MODEL</h3> <h4 id="matriks-korelasi-dataset">Matriks Korelasi Dataset</h4> <p><img src="images/li4/grafik_korelasi_matriks.png" alt="" /></p> <h4 id="grafik-pairplot-dataset">Grafik <code class="language-plaintext highlighter-rouge">PairPlot</code> Dataset</h4> <p><img src="images/li4/grafik_pairplot_dataset.png" alt="" /></p> <h3 id="tahap-4-model-konseptual">TAHAP 4: MODEL KONSEPTUAL</h3> <h4 id="nreca-bulanan">NRECA (Bulanan)</h4> <p><img src="images/li4/grafik_hidrograf_nreca_bulanan.png" alt="" /></p> <h4 id="nreca-2-periode">NRECA (2 Periode)</h4> <p><img src="images/li4/grafik_hidrograf_nreca_2_periode.png" alt="" /></p> <h4 id="fjmock-bulanan">FJMOCK (Bulanan)</h4> <p><img src="images/li4/grafik_hidrograf_fjmock_bulanan.png" alt="" /></p> <h4 id="fjmock-2-periode">FJMOCK (2 Periode)</h4> <p><img src="images/li4/grafik_hidrograf_fjmock_2_periode.png" alt="" /></p> <h3 id="tahap-6-visualisasi">TAHAP 6: VISUALISASI</h3> <h4 id="grafik-r2">Grafik $R^2$</h4> <p><strong>TRAIN SET</strong></p> <p><img src="images/li4/grafik_r2_train_set_ts5.png" alt="" /> <img src="images/li4/grafik_r2_train_set_ts10.png" alt="" /> <img src="images/li4/grafik_r2_train_set_ts365.png" alt="" /></p> <p><strong>TEST SET</strong></p> <p><img src="images/li4/grafik_r2_test_set_ts5.png" alt="" /> <img src="images/li4/grafik_r2_test_set_ts5.png" alt="" /> <img src="images/li4/grafik_r2_test_set_ts5.png" alt="" /></p> <h4 id="perbandingan-metrik-terhadap-timesteps">Perbandingan metrik terhadap <em>timesteps</em></h4> <p>$R^2$</p> <p><img src="images/li4/grafik_metrik_ts__r_2_.png" alt="" /></p> <p>$NSE$</p> <p><img src="images/li4/grafik_metrik_ts__nse_.png" alt="" /></p> <p>$MSE$</p> <p><img src="images/li4/grafik_metrik_ts__mse_.png" alt="" /></p> <h4 id="history-model"><code class="language-plaintext highlighter-rouge">history</code> model</h4> <p><img src="images/li4/grafik_history_model_loss.png" alt="" /></p> <h4 id="perbandingan-hidrograf">Perbandingan hidrograf</h4> <p>Bulanan <img src="images/li4/grafik_hidrograf_bulanan.png" alt="" /></p> <p>2 Periode <img src="images/li4/grafik_hidrograf_2_periode.png" alt="" /></p> <h4 id="perbandingan-nilai-metrik-antar-model">Perbandingan nilai metrik antar model</h4> <p>$R^2$ (Bulanan)</p> <p><img src="images/li4/grafik_bar_banding_nilai__r_2__bulanan.png" alt="" /></p> <p>$NSE$ (Bulanan)</p> <p><img src="images/li4/grafik_bar_banding_nilai__nse__bulanan.png" alt="" /></p> <p>$R^2$ (2 Periode)</p> <p><img src="images/li4/grafik_bar_banding_nilai__r_2__2_periode.png" alt="" /></p> <p>$NSE$ (2 Periode)</p> <p><img src="images/li4/grafik_bar_banding_nilai__nse__2_periode.png" alt="" /></p> <h4 id="perbandingan-kurva-debit">Perbandingan kurva debit</h4> <p><strong>Bulanan</strong></p> <p>Konseptual</p> <p><img src="images/li4/grafik_kurva_durasi_konseptual_bulanan.png" alt="" /></p> <p>ANN</p> <p><img src="images/li4/grafik_kurva_durasi_ann_bulanan.png" alt="" /></p> <p>RNN</p> <p><img src="images/li4/grafik_kurva_durasi_rnn_bulanan.png" alt="" /></p> <p>LSTM</p> <p><img src="images/li4/grafik_kurva_durasi_lstm_bulanan.png" alt="" /></p> <p>GRU</p> <p><img src="images/li4/grafik_kurva_durasi_gru_bulanan.png" alt="" /></p> <p><strong>2 Periode</strong></p> <p>Konseptual</p> <p><img src="images/li4/grafik_kurva_durasi_konseptual_2_periode.png" alt="" /></p> <p>ANN</p> <p><img src="images/li4/grafik_kurva_durasi_ann_2_periode.png" alt="" /></p> <p>RNN</p> <p><img src="images/li4/grafik_kurva_durasi_rnn_2_periode.png" alt="" /></p> <p>LSTM</p> <p><img src="images/li4/grafik_kurva_durasi_lstm_2_periode.png" alt="" /></p> <p>GRU</p> <p><img src="images/li4/grafik_kurva_durasi_gru_2_periode.png" alt="" /></p> <h4 id="perbandingan-nilai-debit-andal">Perbandingan nilai debit andal</h4> <p><strong>Bulanan</strong></p> <p>$80\%$</p> <p><img src="images/li4/grafik_bar_banding_debitandal_bulanan_80.png" alt="" /></p> <p>$90\%$</p> <p><img src="images/li4/grafik_bar_banding_debitandal_bulanan_90.png" alt="" /></p> <p>$95\%$</p> <p><img src="images/li4/grafik_bar_banding_debitandal_bulanan_95.png" alt="" /></p> <p><strong>2 Periode</strong></p> <p>$80\%$</p> <p><img src="images/li4/grafik_bar_banding_debitandal_2_periode_80.png" alt="" /></p> <p>$90\%$</p> <p><img src="images/li4/grafik_bar_banding_debitandal_2_periode_90.png" alt="" /></p> <p>$95\%$</p> <p><img src="images/li4/grafik_bar_banding_debitandal_2_periode_95.png" alt="" /></p>Taruma S. Megariansyahhi@taruma.infoJudul Perbandingan model variasi Recurrent Neural Networks (RNN) pada kasus prediksi debit aliran. Tanggal Publikasi 11 Februari 2020 (1.0.0) Unduh OneDrive (PDF) Lihat Google Colab, Github Gist, NBViewer Tool tensorflow, keras, numpy, pandas, matplotlib, hidrokit, hydroerr, seaborn Fokus implementasi rnn, visualisasi data/hasil, membandingkan model Lisensi MIT, CC-BY-4.0LI3: Analisis hidrologi menggunakan hidrokit2020-01-16T00:00:00+00:002020-01-16T00:00:00+00:00https://taruma.github.io/vivaldi/laporan-implementasi-3<table> <tbody> <tr> <td>Judul</td> <td><strong>Analisis hidrologi menggunakan <code class="language-plaintext highlighter-rouge">hidrokit</code></strong></td> </tr> <tr> <td>Tanggal Publikasi</td> <td>16 Januari 2020</td> </tr> <tr> <td>Unduh</td> <td><a href="https://1drv.ms/b/s!AmxSTa4UunElhoU3ehyoy45_RG6hjA?e=5wUb8d">OneDrive</a></td> </tr> <tr> <td>Lihat</td> <td><a href="https://gist.github.com/taruma/4c1ed1212290965ecda056f45d7aaea2">Github Gist</a>, <a href="https://nbviewer.jupyter.org/gist/taruma/4c1ed1212290965ecda056f45d7aaea2">NBViewer</a></td> </tr> <tr> <td>Fokus</td> <td>penggunaan python pada bidang sda, demo hidrokit</td> </tr> <tr> <td>Lisensi</td> <td>MIT, CC-BY-4.0</td> </tr> </tbody> </table> <hr /> <p>Jika Anda mengunjungi halaman ini karena <em>jupyter notebook</em> atau laporan, berikut pranala penting terkait produk (penelitian) yang telah tersedia:</p> <p>Daftar Pranala Buku:</p> <ul> <li><a href="https://colab.research.google.com/drive/1bx3ak_20dcJ7VdGR-djysLIxLaX7pRI2">Pranala Google Colab</a>, format Google Colab versi terakhir</li> <li><a href="https://github.com/taruma/vivaldi/blob/master/notebook/github_taruma_demo_lstm_rr.ipynb">Pranala Github</a>, format .ipynb versi 1.0.0</li> <li><a href="https://nbviewer.jupyter.org/github/taruma/vivaldi/blob/master/notebook/github_taruma_demo_lstm_rr.ipynb">Lihat melalui NBViewer</a>, format .ipynb versi Github</li> <li><a href="https://github.com/taruma/vivaldi/blob/master/pdf/taruma_lstm_rr_laporan.pdf?raw=true">Unduh Laporan</a>, format PDF versi 1.0.0 dengan <em>source code</em> + <em>outputs</em></li> <li><a href="https://github.com/taruma/vivaldi/blob/master/pdf/taruma_lstm_rr_laporan_rapih.pdf?raw=true">Unduh Laporan (rapih)</a>, format PDF versi 1.0.0 hanya <em>outputs</em>*</li> <li><a href="https://github.com/taruma/vivaldi/blob/master/pdf/taruma_lstm_rr_catatan.pdf?raw=true">Unduh Catatan</a>, format PDF versi 1.0.0</li> </ul>Taruma S. Megariansyahhi@taruma.infoJudul Analisis hidrologi menggunakan hidrokit Tanggal Publikasi 16 Januari 2020 Unduh OneDrive Lihat Github Gist, NBViewer Fokus penggunaan python pada bidang sda, demo hidrokit Lisensi MIT, CC-BY-4.0