Model Prediksi Kelulusan Mahasiswa Menggunakan Decision Tree C4.5 dan Software Weka
2021 ◽
Vol 5
(1)
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pp. 71
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In this research, we build a model to predict graduation status of students in Institut Bisnis dan Informatika Kesatuan using C4.5 decision tree algorithm. The prediction model is built using students’ GPA from semester 1 to semester 4, for students with admission year of 2013 to 2016. The prediction model obtained is a decision tree with 26 rules, with the attribute IPS_4 being the attribute that determines the graduation label of students. This prediction model yields an accuracy of 73%, a result that is not good enough. This result is probably due to unbalanced proportion of the data used.
2013 ◽
Vol 397-400
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pp. 2296-2300
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2020 ◽
Vol 9
(3)
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pp. 405-410
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