Using C4.5 Decision Tree to Determine the Majors of Students in SMAN 4 Banjarmasin to Reduce the Cause of DropOut from School
DOI:
https://doi.org/10.52731/liir.v005.209Keywords:
C4.5, classification, decision tree, major recommendationsAbstract
Choosing the right major is important for students. Choosing the wrong major by students can make the learning process difficult and ineffective. Ineffective learning outcomes can lead to decreased grades. The worst case can cause students to drop out of school. In this study, the C4.5 algorithm is used to generate decision trees to determine major recommendations. The data used is data from previous year prospective students such as exam results, interests and talents used in the decision tree. The results of the decision tree are used for recommendations for selecting student majors. Students with the right majors can make the learning process more effective and can get better grades. Good grades can reduce the reasons for dropping out of school and make students more enthusiastic about learning.
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