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Fetty Tri Anggraeny
Informatics, Faculty Of Computer Science, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294 Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Social Sciences Other

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Journal : Jurnal Ilmiah Kursor

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VOTING OF ARTIFICIAL NEURAL NETWORK PARTICLE SWARM OPTIMIZATION BICLASSIFIER USING GAIN RATIO FEATURE SELECTION Fetty Tri Anggraeny; Monica Widiasri
Jurnal Ilmiah Kursor Vol 7 No 2 (2013)
Publisher : Universitas Trunojoyo Madura

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Abstract

VOTING OF ARTIFICIAL NEURAL NETWORK PARTICLE SWARM OPTIMIZATION BICLASSIFIER USING GAIN RATIO FEATURE SELECTION a Fetty Tri Anggraeny, bMonica Widiasri aTeknik Informatika Universitas Pembangunan Nasional “Veteran” Jawa Timur Jl. Raya Rungkut Madya Gunung Anyar Surabaya Indonesia aUniversitas Surabaya Jawa Timur Jl. Raya Kalirungkut Surabaya Indonesia E-Mail: fetty_ta@yahoo.com Abstrak Seleksi fitur merupakan tahapan penting dalam proses klasifikasi. Proses ini menganalisa data (fitur) sehingga menghasilkan fitur yang berperan atau kurang berperan dalam proses klasifikasi. Fitur yang kurang berperan dapat tidak digunakan dalam proses klasifikasi. Peranan sebuah fitur dalam klasifikasi dapat dikalkulasi dengan suatu rumusan, dalam penelitian ini digunakan metode gain ratio untuk mendapatkan bobot atribut dalam proses klasifikasi. Gain ratio pengembangan dari information gain yang digunakan untuk membangun pohon keputusan (decision tree). Metode seleksi fitur gain ratio menggunakan pendekatan seleksi fitur filter, karena dilakukan terlepas dari mesin klasifikasi. Mesin klasifikasi yang digunakan adalah Artificial Neural Network Particle Swarm Optimization (ANNPSO), dimana mesin ini menggabungkan konsep kecerdasan buatan saraf manusia (neural networks) dengan kecerdasan hewan (particle swarm intelligence). Metode yang diusulkan akan diuji coba terhadap 3 dataset UCI, antara lain iris, breast Wisconsin dan dermatology. Uji coba dengan variasi nilai batas gain ratio fitur menunjukkan nilai akurasi yang cukup tinggi terhadap 3 dataset yaitu 97,6%, 96,41%, dan 99,29%. Kata kunci: Gain Ratio, klasifikasi suara terbanyak, ANNPSO biclassifier.. Abstract Feature selection is an important step in classification process, it analyze the data (features) resulting role each features in the classification process. The role of a feature in the classification can be calculated with a formula, in this research the gain ratio method is used to get the attribute/feature weights. Gain ratio is the development of information gain. Information gain is used to form the induction of decision tree (ID3). Gain ratio feature selection method using the filter feature selection approach, as is done separately from classification engine. Classification engine used is Voting of Artificial Neural Network Particle Swarm Intelligence (ANNPSO) Biclassifier, where this engine combines the concept of artificial intelligence human nerve (neural network) with animal intelligence (particle swarm intelligence). The proposed method is tested on three datasets of UCI, including iris, breast wisconsin and dermatology. Trials with the variation of the boundary gain ratio feature showed a high accuracy of the three datasets are 97.6%, 96.41%, and 99.29%. Keywords: Gain Ratio, Voting Classification, ANNPSO Biclassifier
Co-Authors Abdul Aziz Naufal Farizqi Abu Musa, Hammam Bara Ach.Diki Prasetyo, Ach.Diki Prasetyo Achmad Junaidi Adyani, Adelia Putri Afina Lina Nurlaili Agung Mustika Rizki Agung Mustika Rizki, Agung Mustika Agussalim Ahmad Sofian Aris S Akbar, Fawwaz Ali Akbar, Iqbal Imani Khoirul Alfiani, Fina Alibasyah, Fahmi Nugroho Alviriza Ramadhan, Muhammad Amalia, Nadhia Rizqy Anabella, Linda Happy Andreas Nugroho Sihananto Andreas Nugroho Sihananto Aprillian, Farrel Archamul Fajar Pratama Ariadi, Kuncoro Atmojo, Unggul Widi Ayu Puspita, Nabila Ayuningrum, Agnes Athalia Azira, Volem Alvaro Azizi, Abrar Bachtiar Riza Pratama Basuki Rahmat Basuki Rahmat Masdi Siduppa Cahyas, Jerry Ramadhani Dafauzan Bilal Syaifulloh Dedin F. Rosida Dedin Finatsiyatull Rosida Dianto, Alfian Rachmad Dimara, Denis Lizard Sambawo Dimas Saputra Dita Atasa Diyasa, I Gede Susrama Mas Dyan Agustin Dzulqornain, Muhammad Rif'an Eka Fitria Wulandari Eva Yulia Puspaningrum Evi Suryaningsih Fadillah, Mochamad Nor Fahmi Anugrah Danendra Faisal Muttaqin Farkhan, Farkhan Faturrahman Rahardjo, Iqbal Raihan Firjatullah, Adika Firza Prima Aditiawan Fitriansyah, Muhammad Daffa Gideon Setya Budiwitjaksono Habibi, Faisal Wildan Hadi, I Putu Mahardika Cahyana Handono, Stevanus Frangky Handoyo Prasetyo Hartanti, Syafrida Maulina Hasan, Ferry Hasby Bik, Ahmad Hasya, Astrini Hadina Hatta, Heliza Rahmania Henni Endah Wahanani Hilal, Muhammad Hsya, Astrini Hadina I Gede Susrama Masdiyasa Intan Yuniar Purbasari Intan Yuniar Purbasari, Intan Yuniar Irawan, Nauval Maulana Rizky Julianto Dwi Putra, Rico Khairil Amin, Mohammad Khonsa Salsabila Kusuma, Nugraha Varrel Made Hanindia Prami Swari Mahardika Virgo Wuryantoro Manalu, Daniel Maulana, Hendra Maulana, Rafie Ishaq Meike Hardianti Merdin Risalul Abrori Mochamad Nor Fadillah Mohamad Ilham Prasetyo Raharjo Mohammad Idhom Monica Widiasri, Monica Muhammad Ahsanur Rafi Muhammad Alfin Jimly Asshiddiqie Muhammad Alfyando Muhammad Dawam Fakhri Muhammad Muharrom Al Haromainy Munoto Mustika Rizki, Agung Mutoffar, Muhamad Malik Naila, Amelia Maslaqun Nashrulloh, Muhammad Atay Nadhif Nicholas, Sandy Novarina, Fitria Nugroho Sihananto, Andreas Nur Aini Ersanti Nurfiana Panjaitan, Tompo Pradana, Marchel Adias Pradipta, M. Najmi Arya Prastya, Ade Fathoni Pratama Wirya Atmaja Pratama Wirya Atmaja Pratama, Muhammad Lutfi Pratiwi, Nisa Putra, Chrystia Aji Putra, Riza Satria Putri, Shintyadhita Wirawan Radical Rakhman Rafie Ishaq Maulana Rama Andika Jorgie Rangga Widiasmara Rayhan Rizal Mahendra Retno Mumpuni Reza Aminullah Ridho Aji Pangestu Ronggo Alit Salsabilah, Rafani Bardatus Sandy Rizkyando Sani, Yusmia Washiatus Sanjaya, Alvian Dwi Sankalla, Sabda Saputra, Rendi Cahya Satria, Ramadhan Dani Satria, Vinza Hedi Septyono, Muhammad Bagas Setianto, Christian Wahyu Shalehuddin Albawani, Raden Sholihuddin, Muhammad Thoriq Siagian, Pangestu Sandya Etniko Singgih Putra Pratama Singgih Putra Pratama Siregar, Talitha Aurora Nadenggan Sri Kuswayati Subairi Subairi Sugiarto Sukandar, Ivan Christopher Sulthan Ahmad Sunarko, Victor Immanuel Supangkat, Dwiki Aditama Suryaningsih, Evi Suwito Suwito Syahrul Munir Syahrul Munir Syaifulloh, Dafauzan Bilal Tarsinah Sumarni Taufiqqurrahman, Husain Taufiqurrahman, Rahmadany Fahreza Thariq, Muhammad Fadli Al Titin Sumarni Trianingsih, Arini Vita Via, Yisti Wahyu S.J. Saputra Wardhani, Adil Sandy Yisti Vita Via Yisti Vita Via Yuniar Purbasari, Intan Zainal Abidin Achmad