Decision Support System of Scholarship Grantee Selection Using Data Mining

• Main Authors: Sugiyarti, Eka, Jasmi, Kamarul Azmi, Basiron, Bushrah, Huda, Miftachul, Shankar, K., Maseleno, Andino
• Format: Article
• Language: English
• Published: Academic Publications Ltd. 2018
• Subjects: LB2300 Higher Education; T Technology (General); T58.6-58.62 Management information systems
• Online Access: http://eprints.utm.my/id/eprint/77736/1/EkaSugiyarti2018_DecisionSupportSystemofScholarshipGrantee.pdf; http://eprints.utm.my/id/eprint/77736/; 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.