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All Journal Jurnal Riset Sistem Informasi
Shefia Nur Arifin
Universitas Ibrahimy
Computer Science & IT Education Other

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Klasifikasi Tingkat Hutang Perusahaan Menggunakan Algoritma C4.5 Berdasarkan Data Keuangan Perusahaan Muhammad Ali Ridha; Shefia Nur Arifin; Anak Agung Indah Parwati
Jurnal Riset Sistem Informasi Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/1w3y9w65

Abstract

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.
Co-Authors Anak Agung Indah Parwati Muhammad Ali Ridha