Selection and Recommendation Scholarships Using AHP-SVM-TOPSIS

aAbstract: 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
Author: M Gilvy Langgawan Putra, Whenty Ariyanti, Imam Cholissodin 
Journal Code: jptinformatikagg160004

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