Abstract
School majors conducted in high school are based on interests and these have a goal to provide opportunities for learners to develop the competence of attitudes, skills competence of learners in accordance with interests, talents, and academic ability in a group of scientific subjects.In this research, the researcher uses two algorithm models that is a comparison between the C4.5 algorithm and also the Naive Bayes algorithm. In this study, the data used is the results of school entrance test data and also the data from psychological results for students who have been declared passed the entrance test school SMAN 2 Bekasi City academic year 2018/2019. By comparison of two data mining classification algorithm, can be proved with accuracy result and AUC value from each algorithm that is for Naive Bayes accuracy = 76,43% and AUC value = 0,846, while for algorithm C4.5 accuracy = 70,29% and AUC value = 0.738.
Highlights
IntroductionThe majors are conducted at the beginning of the school entry, namely in class X
In the new curriculum, the majors are conducted at the beginning of the school entry, namely in class X
This study aims to compare and evaluate data mining classification algorithms in determining majors in at SMAN 2 Bekasi city
Summary
The majors are conducted at the beginning of the school entry, namely in class X. In the process of education in school, differences in each student must be considered because it can determine the good and bad of student learning achievement. The basic purpose of the school is to develop all the talents and abilities of students during the education process. Individual differences between students in schools include differences in cognitive abilities, achievement motivation, interest, and creativity. With these individual differences, the function of education is in the teaching and learning process, and counseling, so that the selection and placement of majors for students must be based on the individual capacity as a student (Bahar, 2011)
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