The Use of Data Mining Technique to Find Opportunities for Further Study in the Faculty of Humanities and Social Sciences Courses Buriram Rajabhat University

Abstract

The purpose of this research was to: 1) develop a decision support system for selecting the appropriate disciplines for further study for admission to the Faculty of Humanities and Social Sciences Buriram Rajabhat University 2) To evaluate the effectiveness of the classification model for data prediction for further study opportunities. 3) To evaluate the efficiency of splitting data ratio that affects the accuracy of classification models. The proposed system developed the responsive website using Angular framework. The generation of classification model using the decision tree method using sample data of students 5,718 records. Attributes entry gpa, admission type, school size and entry degree name are selected for classification. From the experimental results, the classifier model from the decision tree can accurately predict the average value of 78.04%. The best ratio rate for splitting Data is 65:35 which can make the model have the highest accuracy 4 branches.