PRANATA, ROBBI ANGGARA and Meiriza, Allsela (2020) SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMILIHAN KONTEN VIDEO YOUTUBE GAMING DI INDONESIA MENGGUNAKAN METODE WEIGHTED PRODUCT (WP). Undergraduate thesis, Sriwijaya University.
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Abstract
This study aims to create a decision support system of recommendations for selecting YouTube Gaming Video Content in Indonesia based on four indicators, such as views, comments, likes and dislikes using the website-based Weighted Product (WP) method. The type of data used in this study is secondary data in the form of YouTube platform analysis data by the noxinfluencer.com platform, content data from the YouTube Trending feature which is used as an alternative, and survey data from gamers who are the object of this research. The object of this research is Trending Video Gaming on the YouTube platform. The results of this study indicate that this decision support system can provide recommendations for selecting the best YouTube Gaming Video Content in Indonesia based on the certain indicators with the selected time period.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Weighted Product, Decision Support System, Youtube. |
Subjects: | T Technology > T Technology (General) > T1-995 Technology (General) T Technology > T Technology (General) > T61-173 Technical education. Technical schools > T173.8 Technological innovations T Technology > T Technology (General) > T173.2-174.5 Technological change > T173.8 Technological innovations T Technology > T Technology (General) > T58.6-58.62 Management information systems 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 > 57201-Information Systems (S1) |
Depositing User: | Users 9785 not found. |
Date Deposited: | 12 Jan 2021 07:54 |
Last Modified: | 12 Jan 2021 07:54 |
URI: | http://repository.unsri.ac.id/id/eprint/39804 |
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