Comparative Analysis of Multi-Criteria Decision Making for Student Degree Completion Time based on Entropy Weighted

Abstract

Undergraduate student's criteria such as grade point average, high school major, age when they registered, etc., which exist in academic data can be utilized to predict the student degree-completion time. This paper tries to get the weight of ten criteria objectively using entropy and used those criteria weighting in comparative analysis for prediction of accuracy and precision of three multi-criteria decision-making methods, i.e., Simple Additive Weighting (SAW), Weighted Product (WP), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The result showed that the fourth grade point average has the biggest impact on degree-completion time with 0.1589 of weight and weighted product is the best method to use with percentage of accuracy 61.3 percent and precision 52.85 percent. The result of this research can be used to help academic staff in making decision for student admission and administering mentoring process.