Klasifikasi Tingkat Hutang Perusahaan Menggunakan Algoritma C4.5 Berdasarkan Data Keuangan Perusahaan

Muhammad Ali Ridha (Universitas Ibrahimy)
Shefia Nur Arifin (Universitas Ibrahimy)
Anak Agung Indah Parwati (Universitas Ibrahimy)

Jurnal Riset Sistem Informasi
Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi

Effective debt management is essential for maintaining corporate financial stability. This study applies the C4.5 algorithm to classify debt levels using financial data. The model was developed in RapidMiner using a Decision Tree and evaluated through Cross Validation. The results show that the Debt to Equity Ratio (D/E Ratio) is the most influential attribute, with an accuracy of 95.95%. Therefore, the C4.5 algorithm is effective for classifying corporate debt levels and supporting financial decision-making.