Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/3407
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dc.contributor.authorRamadiani, Ramadiani-
dc.contributor.authorHatta, Heliza Rahmania-
dc.contributor.authorAzainil, Azainil-
dc.contributor.authorNovita, Nurlia-
dc.date.accessioned2019-12-26T14:17:34Z-
dc.date.available2019-12-26T14:17:34Z-
dc.date.issued2019-08-01-
dc.identifier.citationRamadiani, H. R. Hatta, N. Novita and Azainil, "Comparison of Two Methods Between TOPSIS and MAUT In Determining BIDIKMISI Scholarship," 2018 Third International Conference on Informatics and Computing (ICIC), Palembang, Indonesia, 2018, pp. 1-6.en_US
dc.identifier.isbnElectronic ISBN: 978-1-5386-6921-1-
dc.identifier.urihttps://ieeexplore.ieee.org/document/8780455-
dc.identifier.urihttp://repository.unmul.ac.id/handle/123456789/3407-
dc.description.abstractAbstract: Bidikmisi is one of the scholarships provided to students in universities, including Mulawarman University. To get the scholarship, students must meet the requirements and standards set by the government. The problem is the number of applicants who ask for Bidikmisi scholarship to make the decision maker must be fair, fast, transparent and objective in deciding who is eligible for a scholarship. There are two methods in this study to compare the accuracy of the decision of the scholarship recipient; namely TOPSIS method and MAUT method. In some studies, The Technique For Order Of Preference By Similarity To Ideal Solution (TOPSIS) method has been used in the case of Bidikmisi scholarship acceptance. While the method of Multi-Attribute Utility Theory (MAUT) is a new method and not many researchers are using it. Therefore, in this study conducted comparison method between TOPSIS and MAUT. The test data of Bidikmisi scholarship acceptance test using 150 students in 2017 with National Selection of State University Entrance (SNMPTN), 100 students accepted and 50 unaccepted students. The result of accuracy is done by comparing the original data with both methods so that the accuracy of TOPSIS method is 48% and MAUT method is 94,667%. Based on the analysis of the two methods, an application has been developed that compares MAUT method and TOPSIS method for Bidikmisi scholarship selection.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesDOI: 10.1109/IAC.2018.8780455;-
dc.subjecte-learning , Decision Support System , Scholarship , Bidikmisi , TOPSIS , MAUTen_US
dc.titleComparison of Two Methods Between TOPSIS and MAUT In Determining BIDIKMISI Scholarshipen_US
dc.typeArticleen_US
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