Hybrid MCDM Career Recommendation System for Information System Student Using AHP, VIKOR and Weighted Euclidean Distance

Abstract

This research provides a new application that VIKOR can carry out as one of the MCDM methods. Instead of making decisions, this method is used to get an ideal score for a course based on alumni course marks data to reflect the learning conditions that exist at the university. The goal of this study is to provide suggestions for the student's final project topic area and career opportunities they can pursue according to current job market situations. The approaches used in this research are AHP, VIKOR, and weighted Euclidean distance. Subsequently, the TOPSIS method is used as a comparison to VIKOR. The consistent weights from AHP are used to calculate the course ideal mark and the weighted Euclidean distance score. By using AHP weight for VIKOR and TOPSIS calculation, there are differences in the results of the top alums, which their course mark used as the benchmark for the ideal score. AHP-VIKOR method gives higher ideal course mark compared to AHP-TOPSIS in some of the courses. Suggestions to students are given based on calculating the closeness of student marks ​​to ideal marks on each specialization track.