| Issue |
SHS Web Conf.
Volume 149, 2022
International Conference on Social Science 2022 “Integrating Social Science Innovations on Post Pandemic Through Society 5.0” (ICSS 2022)
|
|
|---|---|---|
| Article Number | 01048 | |
| Number of page(s) | 5 | |
| Section | Education and Digital Learning | |
| DOI | https://doi.org/10.1051/shsconf/202214901048 | |
| Published online | 18 November 2022 | |
Use of the C4.5 Algorithm to Analyze Student Interest in Continuing to College
1 Department of Computer Education, Universitas Musamus, Merauke, Indonesia
2 Department of Computer Education, Universitas Musamus, Merauke, Indonesia
3 Department of Computer Education, Universitas Musamus, Merauke, Indonesia
* Corresponding author: lintang@unmus.ac.id
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.
Key words: C4.5Algorithm / Student interest / College
© The Authors, published by EDP Sciences, 2022
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