Abstract:
Before the started of the new academic year, the first step is a selection of new student
admissions from graduates of general and vocational secondary school which are
equivalent. Therefore, the university must always be responsive in implementing latest
technological advances to do the selection process, implementation to create a selection
system that can recommend accepted or rejected students. In this study, using the Naïve
Bayes Classifier method to classify new student admissions at the Riau Health
Polytechnic. Based on the results of the evaluation carried out, it was found that the
accuracy rate was 89%, 89%, and 91% for the Nursing, Midwifery, and Nutrition
Departments, it can be concluded that the Naive Bayes Classifier algorithm can be used
by Riau Health Polytechnic as one of the method choices in classifying admissions
selection. new students.
