Development of Scheduling and Room Mapping Application: A Case Study of Practical Room In Higher Education

Scheduling and mapping practical session rooms is a common challenge for higher education institutions, requiring the coordination of schedules and alignment of room availability with practical session needs, often leading to misalignments and inefficient room utilization. The Faculty of Industrial Engineering at Telkom University faces similar challenges, affecting the efficiency and effectiveness of practical session room management. This study presents the development of a web application designed to assist in scheduling and room mapping by utilizing iterative incremental methods within an agile framework. The core of the application is a genetic algorithm, implemented and optimized iteratively to generate optimal scheduling and room mapping solutions. The algorithm considers various constraints and preferences, such as room availability, shift times, and specific practical requirements, to ensure an efficient and effective solution. The user-friendly interface features clear information display and mechanisms for handling statuses, enhancing user experience and laboratory management efficiency. The implementation of this application is expected to significantly enhance laboratory management efficiency, reduce scheduling conflicts, and improve user satisfaction within the FRI environment. Rigorous testing, including unit testing, was conducted to ensure functionality and reliability. Extensive user acceptance testing demonstrated a 100% pass rate, confirming the application's success in meeting its functional requirements and achieving high user satisfaction.