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Sistem Pendukung Keputusan Penerima Beasiswa UMN dengan Profile Matching

Apriyadi, Marvin and Hansun, Seng (2018) Sistem Pendukung Keputusan Penerima Beasiswa UMN dengan Profile Matching. Ultimatics : Jurnal Teknik Informatika, 10 (1). ISSN 2085-4552

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This paper describes about the design and development of UMN scholarship decision support system using Profile Matching method. At Universitas Multimedia Nusantara (UMN), there are scholarships for students in order to ease the burden of education costs. There are achievement scholarships, scholarships for students whose parents died, and non-academic scholarships. Decision support systems play an important role in the termination of the final decision, and therefore this application is built by implementing the method of Profile Matching to aid in the selection of the scholarship decisions for students whose parent were died and non-academic scholarship. Profile Matching is a method that aims at taking decisions by assuming that there is an ideal level of predictor variables that must be met by the subjects studied, instead of the minimum rate that must be met or passed. From the results, it can be concluded that this method successfully implemented into applications that can help in decision making process. Result of user satisfaction level for this application is 72%, the result of manual calculation with the application calculation results is not much different so that this application can assist in supporting the UMN scholarship decision.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming (Algorithm, Programming Language, Applications, Software, Data Security)
300 Social Sciences > 370 Education > 371 Schools and their activities, special education
300 Social Sciences > 370 Education > 378 Higher education (Tertiary education)
Divisions: Fakultas Teknik Informatika > Program Studi Informatika
Depositing User: mr admin umn
Date Deposited: 19 Oct 2021 08:30
Last Modified: 19 Oct 2021 08:30

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