SCHOLARSHIP ELIGIBILITY DECISION SUPPORT SYSTEM USING NAIVE BAYES

WICAKSONO, TAN YOHANES CHRISTIANTO ARYO (2019) SCHOLARSHIP ELIGIBILITY DECISION SUPPORT SYSTEM USING NAIVE BAYES. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.

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15.K1.0045 TAN, YOHANES CHRISTIANTO ARYO (4)..pdf COVER.pdf

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Abstract

Until now there are no basic rules to determine the candidates that worthy to receive Sandjojo Foundation scholarship at Soegijapranata Catholic University. Therefore, the scholarship’s recipients are not well-targeted. This project can help to solve problems by using Naive Bayes algorithm as a media for decision makers with criteria such as based on GPA of the students’ registran, total parents’ income, and must be an active student in organization. By using the registrant’s previous data, Naive Bayes algorithm can study the data for each criteria that are inputted to determine whether the applicant is eligble or not to receive the scholarship from Sandjojo Foundation. This project made using web base application and has been tested four (4) times with various kinds of test data and training data, with the accuracy results are around 50% until 65% and the time is lower than three (3) seconds. Keyword: Naive Bayes, Scholarship, Decission Support System.

Item Type: Thesis (Other)
Subjects: 100 Philosophy and Psychology > 150 Psychology > 158 Applied psychology > Decision Making
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: Mr Lucius Oentoeng
Date Deposited: 16 Jul 2019 07:45
Last Modified: 16 Jul 2019 07:45
URI: http://repository.unika.ac.id/id/eprint/19725

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