Combining Decision Making Algorithms to Improve Accuracy of the Course Assessment Rank
R N Hay’s (1,*), Z Muttaqin (2), D S Maylawati (3,4), M A Ramdhani (3)

(1) Department of Informatics, Universitas Serang Raya, Indonesia
(2) Department of Information System, Universitas Serang Raya, Indonesia
(3)Department of Informatics, UIN Sunan Gunung Djati Bandung, Indonesia
(4) Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia

Abstract

Assessment activity is important to keep the quality of student’s knowledge. This study aims to combine decision making algorithms to improve accuracy of the course assessment activities rank to evaluate the student’s knowledge automatically. This study use Analytical Hierarchy Process (AHP) and VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) as decision making algorithms. AHP and VIKOR are Multi-Criteria Decision Making (MCDM), where VIKOR is compromise ranking method that is expected to improve the accuracy of the ranking results. AHP and VIKOR algorithm which are combined in this study are named AVI. The experiment result with 6 types of assessment as criteria shows that AVI capable to increase the accuracy value of assessment ranking result until 1.75 times more accurate/ higher percentage than using AHP or VIKOR only. This result has implications for the similar research of decision support systems, even with different case studies, which can apply the AVI combination method to improve the accuracy of ranking results.

Keywords: analytical hierarchy process, decision support system, decision making algorithm, VIKOR

Topic: Computer Science