A FUZZY LOGIC DECISION SUPPORT SYSTEM FOR UNIVERISTY STUDENT DROPOUT ASSESSMENT
DOI:
https://doi.org/10.24191/mjoc.v11i2.9374Keywords:
Fuzzy Logic, Mamdani Method, Student Dropout, Fuzzy Inference SystemAbstract
Student dropout continues to be an issue in universities, which has a negative impact on the academic performance of students and the reputation of educational institutions. Since the dropout decision is affected by multiple factors like academic performance, financial situation, stress, and self-motivation, the status of these factors can be highly uncertain, subjective, and conventional assessment methods cannot consider this impreciseness. This study designed a fuzzy logic–based decision support system approach to account for the risk of student dropout in a flexible and human-like way. The purpose of this study was to assess the potential risk of a student dropout decision by taking four key input variables: Cumulative Grade Point Average (CGPA), Financial Stability, Stress level, and Self-motivation. The output variable of the system is Dropout Risk Level. A Fuzzy Inference System (FIS) using the Mamdani inference method was developed, which was implemented using the MATLAB Fuzzy Logic Toolbox. Each input variable was represented using three fuzzy linguistic terms (Low, Medium, and High) and triangular membership functions. Fuzzy IF–THEN rules were constructed based on the researcher’s expertise and assistance from experienced lecturers. Data were collected using structured questionnaires distributed to students.
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The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
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Copyright (c) 2026 Adam Aiman A Hamid, Harliza Mohd Hanif, Siti Rahimah Batcha, Nur Zafirah Mohd Sidek, Noratika Nordin
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