Selection and Recommendation Scholarships Using AHP-SVM-TOPSIS
| Main Authors: | Putra, M Gilvy Langgawan, Ariyanti, Whenty, Cholissodin, Imam |
|---|---|
| Other Authors: | Dr. Mokh. Muhsin M.Pd, GNOTA Kediri |
| Format: | Article info application/pdf Journal |
| Bahasa: | eng |
| Terbitan: |
Faculty of Computer Science (FILKOM) Brawijaya University
, 2016
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| Online Access: |
http://jitecs.ub.ac.id/index.php/jitecs/article/view/1 http://jitecs.ub.ac.id/index.php/jitecs/article/view/1/1 |
Daftar Isi:
- Abstract. Gerakan Nasional Orang Tua Asuh Scholarship offers a number of scholarship packages. As there are a number of applicants, a system for selection and recommendation is required. we used 3 methods to solve the problem, the methods are AHP for feature selection, SVM for classification from 3 classes to 2 classes, and then TOPSIS give a rank recommendation who is entitled to receive a scholarship from 2 classes. In testing threshold for AHP method the best accuracy 0.01, AHP selected 33 from 50 subcriteria. SVM has highest accuracy in this research is 89.94% with Sequential Training parameter are λ =0.5, constant of γ =0.01 , ε = 0.0001, and C = 1. Keywords: Selection, Recommendation, Scholarships, AHP-SVM-TOPSIS