Every university has a goal of producing quality and competitive graduates. The fact of prospective students in the university admission selection is an integral part in producing high-quality graduates. Universitas Buana Perjuangan Karawang is one of the universities that accepts new prospective students. In the selection process, many prospective students are disappointed because their graduation score is not as expected. One classification algorithm in data mining that can be used to determine the pattern as well as prediction in data is the Naïve Bayes algorithm. The research employed the Knowledge Discovery in the Database (KDD) method. The data used included a total of 6916 student enrollment data from 2017 to 2020. The attributes used in the data processing are employment status, APT score, English, mathematics, and science scores, test batch, previous school, and previous major with the class target i.e. graduation. From the data processing, it was obtained that the Correctly Classified Instances score was 84.3253% with the total correct classification of 4874 data and the Incorrectly Classified Instances score was 15.6747% with the total incorrect classification of 906 data.
Volume 12 | 07-Special Issue
Pages: 1077-1083
DOI: 10.5373/JARDCS/V12SP7/20202205