IMPLEMENTASI ALGORITMA K-MEANS DALAM MENGANALISIS TINGKAT DAMPAK DAN MINAT BERMAIN GAME ONLINE MOBILE LEGEND PADA GENERASI MUDA DESA PULO DOGOM

KEVIN DANIEL SINAGA, NPM 2209500189 (2026) IMPLEMENTASI ALGORITMA K-MEANS DALAM MENGANALISIS TINGKAT DAMPAK DAN MINAT BERMAIN GAME ONLINE MOBILE LEGEND PADA GENERASI MUDA DESA PULO DOGOM. Skripsi thesis, Universitas Labuhanbatu.

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Abstract

Perkembangan teknologi saat ini membuat game online semakin mudah diakses oleh berbagai kalangan, terutama generasi muda. Salah satu game yang sangat populer adalah Mobile Legends. Penelitian ini bertujuan untuk menganalisis tingkat dampak serta minat bermain game Mobile Legends pada generasi muda di Desa Pulo Dogom dengan menggunakan metode algoritma K-Means. Data dalam penelitian ini diperoleh melalui proses pengolahan data manual menggunakan Microsoft Office dan Aplikasi RapidMiner untuk validasi hasil. Hasil penelitian menunjukkan bahwa data dapat dikelompokkan menjadi beberapa kategori, seperti tingkat minat tinggi, sedang, dan rendah, serta tingkat dampak yang dirasakan. Dari hasil clustering, diketahui bahwa sebagian generasi muda memiliki minat bermain yang tinggi , sedang dan rendah. Dan cukup signifikan, baik dalam hal hiburan maupun potensi kecanduan. Kesimpulan dari penelitian ini adalah algoritma K-Means dapat digunakan secara efektif untuk menganalisis dan mengelompokkan tingkat minat serta dampak bermain game Mobile Legends. Diharapkan hasil penelitian ini dapat menjadi bahan pertimbangan bagi masyarakat dan orang tua dalam mengawasi aktivitas bermain game pada generasi muda. Kata Kunci: K-Means, Data Mining, Mobile Legends, Minat Bermain Game Online, Dampak Game Online =================================================================================================== The rapid development of technology has made online games increasingly accessible to various groups, especially the younger generation. One of the most popular games is Mobile Legends. This study aims to analyze the level of impact and interest in playing Mobile Legends among the youth in Pulo Dogom Village using the K-Means algorithm method. The data in this study were obtained through a manual data processing method using Microsoft Office and the RapidMiner application for result validation. The results of the study show that the data can be grouped into several categories, such as high, medium, and low levels of interest, as well as the level of impact experienced. From the clustering results, it is known that some young people have high, medium, and low levels of interest in playing. The impacts are quite significant, both in terms of entertainment and the potential for addiction. The conclusion of this study is that the K-Means algorithm can be effectively used to analyze and group the level of interest and the impact of playing Mobile Legends. It is expected that the results of this study can serve as a consideration for the community and parents in supervising gaming activities among the younger generation. Keywords : K-Means, Data Mining, Mobile Legends, Interest in Playing Online Games, Impact of Online Games

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	-Means, Data Mining, Mobile Legends, Minat Bermain Game Online, Dampak Game Online================-Means, Data Mining, Mobile Legends, Interest in Playing Online Games, Impact of Online Games
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions:	Fakultas Sains Dan Teknologi > Sistem Informasi
Depositing User:	Unnamed user with email repository@ulb.ac.id
Date Deposited:	20 May 2026 08:42
Last Modified:	20 May 2026 08:42
URI:	http://repository.ulb.ac.id/id/eprint/2367

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