Penerapan Data Mining Dalam Memprediksi Tingkat Perceraian Pasangan Muda Di Kota Medan Menggunakan Metode Naive Bayes

Abstract

implementing a data mining process using the Naïve Bayes method on an information system that will be built based on a website. Data was collected by means of field research, namely in the form of observations and interviews conducted at the Medan Religious Court. Furthermore, the collected data is used as a reference or parameter to be processed on new data which is calculated using the Naïve Bayes method. In this research, it was concluded that the information system designed to predict divorce in young couples in Medan City that the data mining calculation process using the Naïve Bayes method based on past data is very appropriate for predicting divorce cases in the future.