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