PREDIKSI TINGKAT KELULUSAN MAHASISWA S1 UNIVERSITAS AN NUUR DENGAN METODE  DECISION TREE C4.5

Authors

  • Umar Haji Mussa’id universitas An Nuur Author
  • Agus Susilo Nugroho universitas An Nuur Author
  • Rahmawan Bagus Trianto universitas An Nuur Author

Keywords:

Student graduation1; decision tree2; university3; rapid miner4

Abstract

One of the private universities in Purwodadi is An Nuur Purwodadi University. 
Many students have graduated from An Nuur Purwodadi University, but there are some 
students who did not graduate on time. This poses a problem and raises a significant 
question as to why these students did not graduate on time. A decision tree is a suitable 
data mining method for this research because it has the advantage of identifying and 
summarizing patterns in the data. The Decision Tree algorithm has an accuracy of 
96.25%. The recall values for each class are 97.37% for the "Late" class and 95.00% for 
the "On-Time" class. Meanwhile, the precision values for each class are 94.87% for the 
"Late" class and 97.44% for the "On-Time" class 

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Published

2024-01-20

How to Cite

PREDIKSI TINGKAT KELULUSAN MAHASISWA S1 UNIVERSITAS AN NUUR DENGAN METODE  DECISION TREE C4.5. (2024). Julia: Jurnal Ilmu Komputer An Nuur, 4(1), 21-29. https://julia.ejournal.unan.ac.id/index.php/1/article/view/18