Classification of students according to the characteristics and faculty learned by using data classification techniques by decision tree methods Case study of the University of the Thai Chamber of Commerce students

Abstract

The objective of this research is to classify students according to the characteristics and faculty learned by using data classification techniques by decision tree methods. The sample group is 400 students of the University of the Thai Chamber of Commerce. By data mining, using data classification techniques and relational processes Cross-Industry Standard Process for Data Mining (CRISP-DM) . There are steps starting from defining and understanding the objectives, studying, collecting data, then preparing the data by converting them into data that can be analyzed after that, creating models, checking models and implementing models. In the process of creating the model, the data were analyzed using the decision tree technique based on the Precision and Recall. The results of the research with the accuracy of 67.52% found that (1) Students of the Faculty of Business Administration have defined their own advantages as being able to easily adapt to various situations. Students have the main goal when graduating and have work to do immediately and think that the work done on graduation does not have to be exactly the same as the field that has been studied. ( 2) Students of the Faculty of Accounting have the most favorite subjects, which are language courses and think that the work done after graduation is not necessarily the same as the field that has been studied. ( 3) Students of the Faculty of Science and Technology think that their personality is like a job that uses tools, likes to practice and doesn't like socializing. Students have the main goal that when graduating, must have work immediately and think that the work that has been done after graduation is necessary to match with the field that has been studied. ( 4) Students of the Faculty of Communication Arts have a favorite after-school activity that is walking in department stores and prefer to buy products from online stores. Students think that the work that has been done after graduation is not necessarily the same as the field of study.