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All Journal Elektum : Jurnal Teknik Elektro Madaniyah: Terciptanya Insan Akademis Berkualitas Dan Berakhlak Mulia Journal of Primary Education TSAQOFIYA : Jurnal Pendidikan Bahasa dan Sastra Arab JIIP (Jurnal Ilmiah Ilmu Pendidikan) Enrichment : Journal of Management IQ (Ilmu Al-qur'an): Jurnal Pendidikan Islam Jurnal Nuansa Akademik: Jurnal Pembangunan Masyarakat JMBA (Jurnal Manajemen dan Bisnis asmi) Prosiding (SIAR) Seminar Ilmiah Arsitektur Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Jurnal Nasional Teknologi Informasi dan Aplikasinya
Khaerul Anwar
1Alumnus Fapertahut Universitas Nukku Tidore
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Social Sciences Other

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Journal : Jurnal Nasional Teknologi Informasi dan Aplikasinya

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Klasterisasi Frequently Asked Question menggunakan K-means Clustering Anwar, Khaerul; Suhartana, I Ketut Gede
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Frequently asked questions are an important part of providing good service to customers. information provided in the form of questions and answers related to products, applications, companies that are available in detail, concise and easily accessible .The determination of the format of the frequently asked question list should be based on the questions asked by the customer so that they are relevant to the customer's needs. clustering the list of questions using K-means and TF-IDF as the feature extraction method provides an optimal solution of 50000 list questions divided into 18 clusters with a silhoutte coefficients = 00. each cluster is taken 1 document which will be a question in that category provided that the document has at most the term frequncy of the features on the cluster.
Co-Authors Amin Yusuf Budi Naini Mindyarto, Budi Naini Freddy Johanis Rumambi Hani, Isyfi Hari Budi Raharjo I Ketut Gede Suhartana Jufrrie, Muhammad Jumali - Kurniawat, Nia Lesmana, Ihwan Satria Madarina Julia Muhammad Saleh Nova Risdiyanto Ismail Nur Izati, Siti Salma Nurfadhilah, Nurfadhilah Rudi Masniadi Samsinar, Riza Tanzil, Nancy Yayi Arsandrie Yuliasari, Fitriah