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All Journal Jurnal Ilmu Komputer Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) SENTIA 2015 MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Informatika dan Rekayasa Elektronik Journal of Information Systems and Informatics TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jurnal Bumigora Information Technology (BITe) Jurnal Pengabdian kepada Masyarakat Nusantara ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) SATIN - Sains dan Teknologi Informasi Journal Of Artificial Intelligence And Software Engineering Jurnal Pengabdian kepada Masyarakat IPTEKS Jurnal Pengabdian Pada Masyarakat IPTEKS
Triwijoyo, Bambang Krismono
Universitas Bumigora
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Social Sciences Other

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Journal : Journal of Information Systems and Informatics

 1 
Analysis of Document Clustering based on Cosine Similarity and K-Main Algorithms Bambang Krismono Triwijoyo; Kartarina Kartarina
Journal of Information System and Informatics Vol 1 No 2 (2019): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/journalisi.v1i2.18

Abstract

Clustering is a useful technique that organizes a large number of non-sequential text documents into a small number of clusters that are meaningful and coherent. Effective and efficient organization of documents is needed, making it easy for intuitive and informative tracking mechanisms. In this paper, we proposed clustering documents using cosine similarity and k-main. The experimental results show that based on the experimental results the accuracy of our method is 84.3%.
Co-Authors Agus Pribadi, Agus Aguswandi, Lalu Heri Ahmat Adil Andi Sofyan Anas Anthony Anggrawan Ayu Dasriani, Ni Gusti Azhar, Raisul Christopher Michael Lauw Dadang Priyanto Deny Jollyta Dian Syafitri Chani Saputri Elyakim Nova Supriyedi Patty, Elyakim Nova Supriyedi Ervina Farijki Fahly, Moh. Rizky Galih Hendro Martono Hairani Hairani Hariri, Muhammad Husain Husain Kartarina, Kartarina Lalu Riyandi Damar Lalu Yuda Rahmani Karnaen Lilik Widyawati Martono, Gallih Hendro Mayadi Mayadi Miftahul Madani Miswaty, Titik Ceriyani Muhammad Haris Nasri Ni Wayan Yuli Ariyanti Risca Anggraeni Dwiputri Santoso, Heroe Sirojul Hadi Tajuddin, Muhammad Tomi Tri Sujaka Zulfikri, Muhammad