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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Sistem Informasi, Teknologi Informasi, dan Edukasi Sistem Informasi (JUST-SI) JOINCS (Journal of Informatics, Network, and Computer Science)
Issa Arwani
Brawijaya University
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Journal : Journal of Information Technology and Computer Science

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Classifying Application User Comments Using the Improved K-Nearest Neighbor and BM25F Weighting Methods Indriati, Indriati; Rahman, Muh Arif; Arwani, Issa; Muflikhah, Lailil
Journal of Information Technology and Computer Science Vol. 9 No. 2: August 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.92622

Abstract

Mobile JKN is an application developed by an Indonesian state-owned health insurance company, BPJS Kesehatan. The application is developed to provide easier access and more optimal service for its participants. The application allows users to access various information related to national health insurance programs anywhere, anytime. Despite the benefits this application offers, Mobile JKN received low ratings from the users. However, the ratings are sometimes irrelevant to the comments. We proposed an application to automatically review the comments based on ratings and comments, both negative and positive, using the Improved K-Nearest Neighbor (IKNN) classification algorithm with the BM25F weighing method. The initial stage of the algorithm involved document preprocessing, the document consisting of comments and rating were preprocessed to obtain the term. After that, BM25F weighing was applied to find the similarity between documents. The document was then classified using IKNN based on its BM25F weight. The test result showed that the highest accuracy rate was 0.925, obtained from parameter k=20 on IKNN with k1=1.2, Bs=0.75, and BM25F weight of 2 and 5. The result indicates that this method manages to classify the document properly
Co-Authors Adharul Muttaqin Adhitya, I Made Yoga Admaja Dwi Herlambang, Admaja Dwi Agan Philothra, Gerry Agung Ari Wibowo Agustian, Muhammad Prio Akbar, Muhamad Aminul Akbar, Muhammad Aminul Aminul Akbar, Muhammad Aminuyati Ardana, Firdausi Baiq Arief Andy Soebroto Arsan, Danish Alif Aryo Pinandito Aswin Suharsono, Aswin Aydin, Radithya Az Zahra, Hamidah Azizi, Maulana Raga Bayu Rahayudi Budi Darma Setiawan Candra, Abhirama Andhika Dian Eka Ratnawati Djoko Pramono Dwija Wisnu Brata Dzulfiqar, Muhammad Dzulkarnain, Tsania Easterita, Bella Krisanda Fadhil, Muhammad Farrasseka Fanoja, Galang Farisi, Hariz Firmansyah, Rizaldy Wahyu Ghani Wijaya, Alfiyanto hamdi, ghazian Hanggara, Buce Trias Haposan, Rivan Imannuel, Yehezkiel Indriati Indriati Ismiarta Aknuranda Khoba, Ahmad Faiz Lailil Muflikhah Leonardo, Ryan Maulana, Hesi Taka Muh Arif Rahman MUHAJIR Nurhadinata, I Kadek Dwi Cahya Oktasena, Audima Parameswari, Savira Yudith Paraswati, Jasmine Pratiwi Putri Pardede, Rizaldi Pradipta, Arya Pratama, Bagas Ramadhani Purnomo, Welly Putra, Widhy Hayuhardika Nugraha Raden Arief Setyawan Raharjo, Adhimas Suryo Ramadhan, Fachri Ramawijaya, Valentinus Rekyan Regasari MP, Rekyan Regasari Sabriansyah Rizqika Akbar Saputro, Dimas Sativandi Putra Satrio Agung Wicaksono Satrio Hadi Wijoyo Septriayadi Sianturi, Riswan Simbolon, Fran Stinky Sudjianto, Aulia Heppy Cahya Syaekhoni, Muhammad TABAYUNI, RAHIMI ILLONG Tibyani Tibyani Tibyani, Tibyani Tri Afirianto, Tri Varendra, Andrian Fatta Wahyudiansyah, Hafidz Wibisono Sukmo Wardhono Widhy Hayuhardhika Nugraha Putra Wiranata, Danuar