Determining eligibility criteria for hostel placement at National Defense University Malaysia using the Naïve Bayes algorithm

The study of Determining Eligibility Criteria for Hostel Placement at the National Defense University Malaysia (NDUM) using the Naïve Bayes algorithm began when the student residence management called Pusat Pengurusan Kediaman Pelajar (PPKP) introduced a new policy where civilian students in year two and above are required to stay outside of the NDUM campus. Following the meeting when the new policy was announced, the study revealed several problems and issues that this new policy had brought into. One of them is the evaluation of student placement qualifications based only on the quantity of student involvement in the university. Thus, to overcome this problem, a study was made to compare several factors or criteria selected using the Naïve Bayes algorithm. To produce more accurate and high-quality outcomes for student placement qualifications, an interview with stakeholders were conducted. The outcome of this study will assist PPKP to identify without heed to bias which students qualified for hostel placement. In this study, a more thorough discussion will be had on the use of the Naïve Bayes algorithm, as well as comparisons of other algorithms like the Decision Tree algorithm. The methodology of this study uses Cross-Industry Standard Process for Data Mining (CRISP-DM). The success of this study is anticipated to help PPKP and other NDUM residents in the future.