Klasifikasi Peserta Didik Menggunakan Algoritma C4.5


  • Firda Amalia Politeknik Kelapa Sawit Citra Widya Edukasi
  • Amanda Politeknik Kelapa Sawit Citra Widya Edukasi
  • Muhamad Aditya Purnama Politeknik Kelapa Sawit Citra Widya Edukasi


Klasifikasi peserta didik, Algoritma C4.5, Pendidikan, Orange, Decision Tree, VBA.


Education is an important factor in improving the quality of human resources. In the educational process, one of the focal points is the mapping or classification of students. Students are individual beings with unique personalities suitable for growth and development (Anggraeni, et all., 2022). The data obtained from the Sarinah Bogor Kindergarten operator is valid and covers the number of students registered in Class A and Class B for 11 academic years (2012/2013 to 2022/2023). The C4.5 algorithm, implemented using Orange, can generate a reasonably good classification model with a decision tree consisting of 15 nodes and 8 leaves. This model provides an Accuracy rate of 72.5% and an Area Under the Curve (AUC) of 0.737, as well as other values such as F1 Score, Precision, Recall, and Matthews Correlation Coefficient (MCC) indicating satisfactory model performance.


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