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All Journal Journal of Data Science Methods and Applications
Novita Triyasri
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Engineering Library & Information Science

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Analisis Klastering dari Data Behavior Online Gaming Menggunakan Algoritma K-Means Salsabila Shahibah; Novita Triyasri; Adisty Anggi Inanti; Jovita Rachel; Niko Diki Pratama; Andriansyah
Journal of Data Science Methods and Applications Vol. 1 No. 1 (2025)
Publisher : Program Studi Sains Data - Institut Informatika dan Bisnis Darmajaya

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Abstract

Games that require an internet connection are called online games. Just like offline games, online games also have many genres. Some of them are Action, advanture, sports, RPG, and simulation. The emergence of various types of online games provides many choices to eliminate boredom in filling free time. In addition, there are also various levels such as easy, medium, and hard. The levels in this game also affect the habits of players in playing games. This study aims to find the optimal cluster in the dataset using clustering analysis using the K-Means algorithm on the RapidMiner application. The results of this study show that cluster 1 at k=3 from (k=2-7) is the best cluster compared to other clusters
Co-Authors Adisty Anggi Inanti ANDRIANSYAH Jovita Rachel Niko Diki Pratama Salsabila Shahibah