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M Gilvy Langgawan Putra
Brawijaya University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Selection and Recommendation Scholarships Using AHP-SVM-TOPSIS M Gilvy Langgawan Putra; Whenty Ariyanti; Imam Cholissodin
Journal of Information Technology and Computer Science Vol. 1 No. 1: June 2016
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (938.182 KB) | DOI: 10.25126/jitecs.2016111

Abstract

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
Co-Authors Imam Cholissodin Whenty Ariyanti, Whenty