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Muhammad Wahyu Nugroho Sakti
Politeknik Elektronika Negeri Surabaya
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Implementation of Elo Rating System and Player Clustering for Competitive Matchmaking in Trivia Education Game Muhammad Wahyu Nugroho Sakti; Achmad Basuki; Ali Ridho Barakbah
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Multi-player online games have a matchmaking system, where two or more players can meet each other in a virtual room [19][20]. Players do not gain competitive experience when the matchmaking system uses a single parameter because the system cannot recognize players properly. Previous studies carried out several matchmaking methods, namely skill-based, behavior-based, role-based, and latency-based. However, few studies have discussed the computation of multi-parameter aggregation. We propose a matchmaking system that combines three essential things that become competitive matchmaking parameters: skill rating, behavior cluster, and location cluster. The Elo rating system will use to measure player ability. It will combine with player behavior clustering and player location clustering. It combines a statistical approach to managing distributions and unsupervised machine learning to identify players. Grouping players with machine learning methods is a new thing that has been researched in recent years [6][8]. The application of the algorithm with these parameters is carried out on the trivia education game to make it more competitive
Co-Authors Achmad Basuki Ali Ridho Barakbah