ROOMPRO: A WEB-BASED HOSTEL ROOM ALLOCATION USING GENETIC ALGORITHM AND MANAGEMENT SYSTEM
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Universiti Malaysia Sarawak (UNIMAS)
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This project introduces RoomPro, a web-based hostel management system that features an intelligent room allocation mechanism based on a genetic algorithm (GA). Hostels, often favoured by students for their proximity to campus and affordability, frequently encounter challenges such as inefficient manual processes, fragmented communication, and time-consuming room assignments. RoomPro addresses these issues by offering an integrated platform that streamlines administrative tasks, facilitates announcement dissemination, and automates room allocation through an optimized GA approach. System requirements were identified through a user-focused survey, followed by the development of both physical and logical system designs. The room allocation process is designed to run efficiently in the background, minimizing disruption while ensuring optimal room assignments. The system also supports full task management with create, read, update, and delete (CRUD) operations. Functional and usability testing, supported by test cases and user feedback, confirm the system’s effectiveness and user-friendliness. The development followed a structured methodology encompassing analysis, design, implementation, testing, and evaluation. The paper concludes with a discussion of the system’s accomplishments, its current limitations, and potential areas for future enhancement, establishing RoomPro as a practical and efficient solution for modern hostel management.