Use of the C4.5 Algorithm to Analyze Student Interest in Continuing to College

Abstract

Abstract. Higher education is one of the goals of several options when a student completes education in high school. However, not all students wish to continue their education in college. There are many reasons behind why students do not continue their education in college. Several factors that influence in this research include self-motivation, scholarships provided, parental support, ease of getting a job and academic competition. This study took a sample of 25 student data that will be used to find the most influential factors in continuing education in higher education. This study uses a data mining classification approach using the c4.5 method in making a decision tree. The results that can be concluded, a student has a high desire to continue his education in college because it will make it easier for them to get a job and the factor in getting an education scholarship.