| Summary: | This paper focuses on solving a student-lecturer allocation problem by optimizing declared preferences. Typically, many students undertake an internship program every semester and many preferences need to be taken when assigning students to lecturer for supervision. The aim is to maximize student’s total preference. Analytic Hierarchy Process (AHP) technique is used in ranking the preference criteria and alternatives to form a preference matrix. Then, an Integer
Programming (IP) model is developed by considering related constraints, which involves lecturer capacity according to academic position and matching gender of student to lecturer. This study demonstrates the effectiveness of using AHP technique in prioritizing preference criteria and facilitates finding the best solutions in the context of multiple criteria by using preference matrix. The IP model shows that all constraints are satisfied, and students’ total preferences is
maximized. The study demonstrates that the proposed method is efficient and avoids biased assignment. The satisfaction of the gender related constraint and preferences toward lecturers contributes significantly to satisfaction among
students and staff.
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