Skripsi

REKOMENDASI GAME TERBAIK BERDASARKAN USIA DI APLIKASI PLAYSTORE MENGGUNAKAN METODE ARAS

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Penilaian

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Game is a game played by children and adults, but the game is played not according to age type. therefore, the best game recommendations based on age are made in the playstore application. This research aims to build a Decision Support System (SPK) to select these games based on ages 3+, 7+ and 12+. The data used for each age is 70 game data. In this study using the Additive Rasio Assessment (ARAS) method implemented to determine the best game recommendations with the results of the ARAS method calculation system. The game criteria used are game rating, release date, most downloaded and game download size. In this study, the accuracy results of each age 3+, 7+ and 12+ are 54.3%, 54.3% and 57.14%. So, the average accuracy results of the entire amount of game data amounted to 55.24% which means that the Decision Support System (DSS) built is considered very useful by users.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307005174	T119642	T1196422023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1196422023

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xv, 74 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.507

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Game Komputer
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

FIRA

Other version/related

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