DEVELOPMENT OF A ROOM ALLOCATION SYSTEM USING GENETIC ALGORITHM
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Abstract
The essence of managing educational institutions encompasses not only the delivery of academic content but also the efficient allocation of resources, notably student accommodations. This study delves into the development of an Artificial Intelligence based Automated Room Allocation System tailored for Babcock University, aimed at transforming the traditional manual room allocation process into an automated, digital platform. The objectives of this paper are: to gather and record students' room preferences, integrate genetic algorithm techniques that will work on the preferences to allocate room based on student’s preferences and evaluate the system by conducting user testing to assess the system's usability and identify potential improvements, evaluate the accuracy and efficiency of the room allocation process and collect user feedback to ensure satisfaction. The transition to a digital and automated room allocation system is anticipated to overcome these drawbacks; laborious process of current manual allocation of rooms involving movement of files, waiting in line to receive administrative approval and a pass containing your room number.
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