ANALISIS META KARAKTER DAN PERAN PADA GAME ONLINE FIRST PERSON SHOOTER VALORANT MENGGUNAKAN ALGORITMA K-MEANS

RASYID, M. RAIHAN and Arsalan, Osvari and Primanita, Anggina (2024) ANALISIS META KARAKTER DAN PERAN PADA GAME ONLINE FIRST PERSON SHOOTER VALORANT MENGGUNAKAN ALGORITMA K-MEANS. Undergraduate thesis, Sriwijaya University.

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Abstract

Valorant is a form of online entertainment in the FPS (First-Person Shooter) genre, released by Riot Games in 2020, and it remains popular among gamers today. The online game Valorant offers a wide range of characters with unique skills and roles, requiring teamwork and strategy to win matches. This presents a challenge for new players entering the game, as they may struggle to adapt. Therefore, the author conducted a clustering analysis of statistical data from the 2021 Valorant Champions Tour (VCT) to identify characters suitable for beginner players. The clustering process was performed using the K-Means algorithm, with the value of K determined through the elbow method and silhouette method. This study employs the Rational Unified Process (RUP) as a software development methodology. The findings, based on the variables of ACS (Average Combat Score) and Kill Count (K), indicate that each cluster exhibits clear and significant patterns of player performance. Visualizing the clustering results in a scatter plot highlights the distribution of players within each cluster, reflecting the unique performance characteristics of players in each group

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis Clustering, K-Means, Valorant
Subjects:	Q Science > Q Science (General) > Q1-295 General
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	M. Raihan Rasyid
Date Deposited:	13 Jan 2025 04:46
Last Modified:	13 Jan 2025 04:46
URI:	http://repository.unsri.ac.id/id/eprint/164157

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