Mathematical model for university online exam scheduling considering lecturer preferences

Zoom accounts are used as an alternative for online teaching and learning activities during the pandemic. The Industrial Engineering Study Program at Sultan Ageng Tirtayasa has been scheduling online exams and determining the number of Zoom accounts needed manually, which has resulted in an insufficient number of Zoom accounts to meet all course schedules. Proper online exam scheduling can optimize the number of Zoom accounts required. This study aims to determine the number of Zoom accounts needed for online exams by developing a mathematical model. The model developed is an Integer Linear Programming (ILP) model, with the objective of minimizing the number of Zoom accounts required. The problem is solved using an optimization approach with deterministic parameters. The model provides recommendations for decision-making in the implementation of online exams, including determining the exam timetable and the number of Zoom accounts to be rented. The computational results show that the developed model provides an optimal solution, requiring only three Zoom accounts.