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SISTEM KLASIFIKASI PENERIMAAN MAHASISWA BARU MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER BERBASIS WEB
(2020-12) Rumiyati, Rumiyati; Risanto, Joko
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.