PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KONTRIBUTOR BERITA MENGGUNAKAN METODE MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) (STUDI KASUS : TVRI SUMATERA SELATAN)

KANIRARAS, KENIA and Ruskan, Endang Lestari (2020) PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KONTRIBUTOR BERITA MENGGUNAKAN METODE MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) (STUDI KASUS : TVRI SUMATERA SELATAN). Undergraduate thesis, Sriwijaya University.

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Abstract

Televisi Republik Indonesia (TVRI) has the task of raising the nation's image through the organization of broadcasting events, one of which is a news program. In presenting good quality, up to date, and educating news that occurs throughout the South Sumatra region, it is not easy, there are several obstacles such as time, cost and energy efficiency, therefore TVRI Sumsel makes a solution by accepting contributors news (supporting reporters). In the admission process, there are several obstacles including the assessment process is still subjective because there are no standards for the same assessment criteria and the decision making process is long because they have to compare the scores among prospective applicants. The existing problems required a Decision Support System (SPK) that can take into account all aspects of the criteria in determining applicants to be accepted. This system uses the MOORA method as a tool in doing calculations and helps in getting the best alternative recommendations. The results of this study are the application of decision support systems for news contributors based on websites.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Sistem Pendukung Keputusan (SPK), Metode MOORA, Penerimaan Kontributor Berita
Subjects: T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.62 Decision support systems Cf. HD30.213 Industrial management
Divisions: Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User: Kenia Kaniraras
Date Deposited: 14 Jan 2020 08:53
Last Modified: 14 Jan 2020 08:53
URI: http://repository.unsri.ac.id/id/eprint/24089

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