Abstract
Lecturer timetable scheduling is an important part in the resource allocation planning. Due to the large amount of transactions and various related constraints have to be taken into account in timetable scheduling process, resource manager team shall need a lot of time to the solve the problem. This research is aimed to discuss the application of Particle Swarm Optimization (PSO) that can be used to automatically generate optimal lecturer timetable scheduling. Using Software Laboratory Center (SLC) data, some hard constraints are taken into account such as the assistant should teach according to their qualifications, teaching in their work shift and doesn’t teach any course that are being taken. Some soft constraints are also considered and the associated cost function is built based on these hard and soft constraints. Based on the computational results, the amount of penalty obtained by the PSO is much smaller than the GA on 500th iteration. The calculation is performed by comparing the amount of penalty that earned each time a hard constraint or soft constraint is violated by the implementation of PSO or GA to the total penalty obtained when all constraints are violated.
Highlights
In the era of globalization, the roles of information technology have been growing very rapidly and have become important for an organization
Using Software Laboratory Center (SLC) data, some hard constraints are taken into account such as the assistant should teach according to their qualifications, teaching in their work shift and doesn’t teach any course that are being taken
Based on the computational results, the amount of penalty obtained by the Particle Swarm Optimization (PSO) is much smaller than the GA on 500th iteration
Summary
In the era of globalization, the roles of information technology have been growing very rapidly and have become important for an organization. The field of information technology development at the University is part of business processes, such as student attendance, teacher attendance and the provision of material from professors to students, while the planning area into areas that are less considered in the application of information technology. Development of information technology in the field of scheduling is the focus in this study. Of studies have been conducted, it turns out the methods of Artificial Intelligence can complete the transaction with the timetable scheduling with a large amount. These studies use transaction data to the University, this is because the transaction data to the University is so complex and immense
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