Decision Support System Modeling for Determining Thesis Advisors Using Profile Matching

Yusrizal Hakim; Amirah Nafiah Zalfa; Anisa Ninda Cahyani; Muhammad Al Faris Syabil

Authors

Yusrizal Hakim State Islamic University of North Sumatra
Amirah Nafiah Zalfa State Islamic University of North Sumatra
Anisa Ninda Cahyani State Islamic University of North Sumatra
Muhammad Al Faris Syabil State Islamic University of North Sumatra

Keywords:

Decision Support System, Profile Matching, Advisor Recommendations, Faculty Competency, Equal Distribution of Advising Workload

Abstract

This study aims to develop a decision support system based on the Profile Matching method to provide automatic and objective recommendations for thesis advisors. This system is designed to address the problem of advisor selection, which was previously done manually by students, often resulting in an imbalance in the workload and a mismatch in faculty competencies. The Profile Matching method is used to compare lecturer competency profiles with student needs based on Core Factors and Secondary Factors, including research field suitability, supervisory experience, and number of students supervised. Research data was obtained from students and lecturers in the Computer Science study program, then tested manually to evaluate the accuracy of the system's recommendations. The results showed that the system was able to generate a ranking of advisors that matched students' research fields, while distributing the advising load more evenly. This study demonstrates that the application of a decision support system with Profile Matching can improve objectivity and efficiency in determining advisors, as well as provide a basis for the development of academic recommendation systems in the future.

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