ctrlnum 24089
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://repository.unsri.ac.id/24089/</relation><title>PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KONTRIBUTOR BERITA MENGGUNAKAN METODE MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA)&#xD; (STUDI KASUS : TVRI SUMATERA SELATAN)</title><creator>KANIRARAS, KENIA</creator><creator>Ruskan, Endang Lestari</creator><subject>T58.62 Decision support systems Cf. HD30.213 Industrial management</subject><description>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.</description><date>2020-01-08</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/24089/1/RAMA_57201_09031181621018.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/24089/2/RAMA_57201_09031181621018_TURNITIN.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/24089/5/RAMA_57201_09031181621018_0017117801_01_front_ref.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/24089/3/RAMA_57201_09031181621018_0017117801_02.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/24089/6/RAMA_57201_09031181621018_0017117801_03.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/24089/4/RAMA_57201_09031181621018_0017117801_04.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/24089/7/RAMA_57201_09031181621018_0017117801_05.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/24089/8/RAMA_57201_09031181621018_0017117801_06_ref.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/24089/9/RAMA_57201_09031181621018_0017117801_07_lamp.pdf</identifier><identifier> 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. </identifier><recordID>24089</recordID></dc>
language ind
format Thesis:Thesis
Thesis
PeerReview:NonPeerReviewed
PeerReview
Book:Book
Book
author KANIRARAS, KENIA
Ruskan, Endang Lestari
title PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KONTRIBUTOR BERITA MENGGUNAKAN METODE MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) (STUDI KASUS : TVRI SUMATERA SELATAN)
title_sub TVRI SUMATERA SELATAN)
publishDate 2020
isbn 0903118162101
topic T58.62 Decision support systems Cf. HD30.213 Industrial management
url http://repository.unsri.ac.id/24089/1/RAMA_57201_09031181621018.pdf
http://repository.unsri.ac.id/24089/2/RAMA_57201_09031181621018_TURNITIN.pdf
http://repository.unsri.ac.id/24089/5/RAMA_57201_09031181621018_0017117801_01_front_ref.pdf
http://repository.unsri.ac.id/24089/3/RAMA_57201_09031181621018_0017117801_02.pdf
http://repository.unsri.ac.id/24089/6/RAMA_57201_09031181621018_0017117801_03.pdf
http://repository.unsri.ac.id/24089/4/RAMA_57201_09031181621018_0017117801_04.pdf
http://repository.unsri.ac.id/24089/7/RAMA_57201_09031181621018_0017117801_05.pdf
http://repository.unsri.ac.id/24089/8/RAMA_57201_09031181621018_0017117801_06_ref.pdf
http://repository.unsri.ac.id/24089/9/RAMA_57201_09031181621018_0017117801_07_lamp.pdf
http://repository.unsri.ac.id/24089/
contents 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.
id IOS8119.24089
institution Universitas Sriwijaya
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library
library UPT Perpustakaan Universitas Sriwijaya
library_id 1098
collection Sriwijaya University Institutional Repository
repository_id 8119
city OGAN ILIR
province SUMATERA SELATAN
shared_to_ipusnas_str 1
repoId IOS8119
first_indexed 2020-03-23T08:01:22Z
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