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Decision Support System of Scholarship Grantee Selection Using Data Mining

Sugiyarti, Eka and Jasmi, Kamarul Azmi and Basiron, Bushrah and Huda, Miftachul and Shankar, K. and Maseleno, Andino (2018) Decision Support System of Scholarship Grantee Selection Using Data Mining. International Journal of Pure and Applied Mathematics, 119 (15). pp. 2239-2249. ISSN 1314-3395


Official URL: https://ijpam.eu/


Education in a country life plays a very important role to ensure the survival of the state and the nation. External factors affect the failure of students in completing the field of study, especially the field of study in the senior high school level. The problems faced in getting the scholarship are some of the criteria that have been set in this course such as majors, parent income, parental responsibility, academic achievement, non-academic achievement. C4.5 algorithms is one method of data mining to predict the selection of scholarship grantee to senior high school student seen from external factors and internal students. The test results and analysis show that the Decision Tree C4.5 algorithms is accurately applied for prediction of final grades of senior high school students with 94.7368% accuracy.

Item Type:Article
Uncontrolled Keywords:Data Mining, Scholarship Grantee Selection
Subjects:L Education > LB Theory and practice of education > LB2300 Higher Education
T Technology > T Technology (General)
T Technology > T Technology (General) > T58.6-58.62 Management information systems
Divisions:Islamic Studies
ID Code:77736
Deposited By: Dr. Kamarul Azmi Jasmi
Deposited On:19 Sep 2018 14:13
Last Modified:19 Sep 2018 14:13

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