APPLICATION OF PREDICTION TIME OF GRADUATION USING THE NAÏVE BAYESALGORITHM WITH THE PYTHON PROGRAM

Abstract

Accreditation is a process to ensure the quality of a university and study
program. There are several factors that determine the quality standard of
accreditation. One of them is the time of graduation. However, there is no
means that can be used to predict early student graduation time. Therefore,
this study aims to create a means that can predict early graduation time. In
this study, data mining methods were used, namely the Naïve Bayes
algorithm. After that, data processing and application development will be
carried out using the Python program. The data used in the data mining
process is three years of historical data and the data used for the trial are
active student data for the second and third years. There are 5 types of
patterns with an accuracy value of 81%, 87%, 92%, 92%, and 95%.