Combining decision making algorithms to improve accuracy of the course assessment rank

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 VIš...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2021-03, Vol.1098 (3), p.32045
Main Authors: Hay’s, R N, Muttaqin, Z, Maylawati, D S, Ramdhani, M A
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Analytic hierarchy process
Decision analysis
Decision making
Decision support systems
Multiple criterion
Ranking
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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, for different case studies, it can be applied the AVI combination method to improve the accuracy of ranking results.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/1098/3/032045