Open AccessA Comparative Study using SAW, TOPSIS, SAW-AHP, and TOPSIS-AHP for Tuition Fee (UKT)
Author(s) -
W Firgiawan,
Nuralamsah Zulkarnaim,
Sugiarto Cokrowibowo
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/875/1/012088
Subject(s) - topsis , analytic hierarchy process , weighting , ideal solution , computer science , preference , similarity (geometry) , operations research , mathematics , statistics , artificial intelligence , medicine , chemistry , image (mathematics) , radiology
Tuition Fee or UKT has a different group, in which each group has a percentage each of the which has been set by the government based on the economy of each student. The absence of clear standardization in determining Tuition Fee raises many problems. The approach of Decision Support Systems (DSS) will help in the decision making of Tuition Fee students are more effective and efficient. The purpose of this study research is to compare the 4 DSS methods used in the decision making process, Simple Additive Weighting (SAW), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), a combination of Simple Additive Weighting (SAW) and Analytical Hierarchy Process (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytical Hierarchy Process (AHP) is used in making Decision determination Tuition Fee students in accordance with established criteria determine the method relevant to the problem. By using a comparison of four methods: SAW, TOPSIS, SAW-AHP and AHP-TOPSIS, the experimental results obtained using accuracy measure where the highest accuracy obtained by TOPSIS-AHP is 80%, then followed by the TOPSIS method 78%, SAW-AHP 74% and SAW 76%, so the TOPSIS-AHP is the best method used in determining Tuition Fee.