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All Journal MDP Student Conference
Prasetya, Benedikto Nugroho
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering

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Analisis Sentimen Keluhan Pengguna pada Game Mobile Legends Menggunakan Metode K-Means Clustering Orlando, Nikolas; Prasetya, Benedikto Nugroho; Hermawan, Latius
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11177

Abstract

Mobile Legends is a popular mobile game, but many users express complaints about their gaming experience. This study aims to analyze user complaints’ sentiment using the K-Means Clustering method to group data based on similar complaint patterns. The data was collected from user reviews on the Google Play Store. The results indicate that the K-Means method effectively categorizes complaints into major issues such as connection problems, in-game bugs, and character imbalance. This analysis helps developers identify key user concerns and improve the gaming experience.
Co-Authors Latius Hermawan Orlando, Nikolas