Skripsi

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

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Penilaian

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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

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507000073	T164157	T1641572024	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1641572024

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer., 2024

Collation

xv, 78 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

005.507

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Program Aplikasi Khusus
Prodi Teknik Informatika, Fakultas Ilmu Komputer

Specific Detail Info

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Statement of Responsibility

MI

Other version/related

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