Decision Support System for Single Tuition Scholarship Awardees in Higher Education Using Mamdani Fuzzy Inference

DOI: https://doi.org/10.30996/jitcs.10009
Keywords: Decision Support System, DSS, Fuzzy, Mamdani, scholarship

Abstract

Universitas Madura implements the Single Tuition Fee (UKT) scholarship program in the Informatics department. The current UKT scholarship selection system uses a traditional model that is still not effective, causing obstacles such as inflexibility in registration time. The print-out documents are vulnerable to damage or loss and difficulty searching when it required. The criteria in the current system consisted of a minimum Grade Point Average (GPA) of 3, a letter of family condition, and also student status in semesters 3 to 7. The three criteria are not enough to determine a scholarship candidate. The recruitment process involves only the Head of the Study Program (Kaprodi). The Informatics study program still has many candidates applying for scholarships reaching around 280%. This research proposes a Decision Support System (DSS) using Fuzzy Mamdani with six criteria, including GPA, Achievement, Parents' Income, Parents' Dependents, Semester, and History of not receiving scholarships with the aim of overcoming these problems. The results show that the performance of the proposed SPK is very good, it is shown by the MAPE value of less than 10% and more efficient time than the current system. This system has also been in accordance with the required functions through the black test.

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Author Biographies

M. Kholifaturrahman, Universitas Madura

Department of Informatics

Sholeh Rachmatullah, Universitas Madura

Department of Informatics

Badar Said, Universitas Madura

Department of Informatics

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Published
2023-12-31
How to Cite
Kholifaturrahman, M., Rachmatullah, S., & Said, B. (2023). Decision Support System for Single Tuition Scholarship Awardees in Higher Education Using Mamdani Fuzzy Inference. Journal of Information Technology and Cyber Security, 1(2), 85-97. https://doi.org/10.30996/jitcs.10009
Issue
Vol 1 No 2 (2023): July
Section
Research Article

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