REKOMENDASI GAME TERBAIK BERDASARKAN USIA DI APLIKASI PLAYSTORE MENGGUNAKAN METODE ARAS

YUSMAR, M. REZA FARHAN and Arsalan, Osvari and Rodiah, Desty (2023) REKOMENDASI GAME TERBAIK BERDASARKAN USIA DI APLIKASI PLAYSTORE MENGGUNAKAN METODE ARAS. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021381823125.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_55201_0902131823125_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy
	Text RAMA_55201_09021381823125_0028068806_0021128905_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB)
	Text RAMA_55201_09021381823125_0028068806_0021128905_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (172kB) | Request a copy
	Text RAMA_55201_09021381823125_0028068806_0021128905_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (96kB) | Request a copy
	Text RAMA_55201_09021381823125_0028068806_0021128905_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (858kB) | Request a copy
	Text RAMA_55201_09021381823125_0028068806_0021128905_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (482kB) | Request a copy
	Text RAMA_55201_09021381823125_0028068806_0021128905_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (14kB) | Request a copy
	Text RAMA_55201_09021381823125_0028068806_0021128905_07_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (74kB) | Request a copy
	Text RAMA_55201_09021381823125_0028068806_0021128905_08_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (305kB) | Request a copy

Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Additive Ratio Assessment (ARAS), pemilihan game dan Sistem Pendukung Keputusan (SPK)
Subjects:	T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.62 Decision support systems Cf. HD30.213 Industrial management
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	M. Reza Farhan Yusmar
Date Deposited:	24 Jul 2023 01:55
Last Modified:	24 Jul 2023 01:55
URI:	http://repository.unsri.ac.id/id/eprint/119642

Actions (login required)

View Item