Skripsi

ANALISIS META SENJATA PADA PERMAINAN FIRST PERSON SHOOTER VALORANT MENGGUNAKAN ALGORITMA K-MEDIAN

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Penilaian

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This research aims to analyze weapon meta in the First Person Shooter (FPS) game Valorant using the K-Median algorithm. This algorithm is applied to cluster weapons based on performance parameters such as Average Damage per Round (ADR) and Average Combat Score (ACS). The clustering results show that the K-Median algorithm produces groupings more resilient to outliers compared to other algorithms. This study successfully recommends the most effective weapons to support players in winning rounds. The designed system assists players, especially beginners, in selecting weapons based on statistical data from the Valorant Champions Tour (VCT) 2021 tournament. Therefore, this research significantly contributes to the development of decision support systems in competitive gaming

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507000072	T164101	T1641012024	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1641012024

Publisher

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

Collation

xi, 91 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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