Implementasi Algoritma Decision Tree_J48 untuk Memprediksi Resiko Kredit pada Koperasi Simpan Pinjam (Studi Kasus : Kofipindo Lubuk Pakam)
DOI:
https://doi.org/10.30865/komik.v3i1.1561Abstract
The development of the modern era has made many people more influenced in managing business, especially in financial institutions, one of which is credit at the Kofipindo cooperative. Credit is the most important thing in a savings and loan cooperative and it has an effect on the health of the cooperative. However, if there is a management problem that carelessly provides credit, it will be risky for the company, namely there will be a loss of customers and not collectible. To overcome the problems above, a method is needed. The technique that can be utilized in the process of processing data is the classification with the J48 algorithm. J48 algorithm is a classification algorithm applied to decision tree techniques that are processed using information gain. In selecting attributes for object breakers in several classes, the attribute that produces the greatest information gain with the highest information gain value will be chosen as the parent of the next node.
Keywords: Credit risk prediction, Algorithm J48References
F. J. KAUNANG, “pengembangan Desicion Tree j48 untuk Diagnosis Penyakit Diabetes Melitus,†vol. 5, 2018.
S. Adi, “Prediksi kredit macet melalui perilaku nasabah pada koperasi simpan pinjam dengan menggunakan algoritma C45,†vol. 6, 2015.
F. A. Hermawati, Data Mining. Yogyakarta: CV.ANDI OFFSET, 2013.
K. dan E. T. Luthfi, Algoritma data mining. Yogyakarta: CV.ANDI OFFSET, 2009.
K. dan E. T. Luthfi, Algoritma Data Mining. Yogyakarta: CV.ANDI OFFSET, 2009.
S. Haryati, A. SudarsonHaryati, S., Sudarsono, A., & Suryana, E. (2015). Implementasi Data Mining untuk Memprediksi Masa Studi Mahasiswa
https://www.academia.edu/7712860/Belajar_Data_Mining_dengan_RapidMiner, “Belajar_Data_Mining_dengan_RapidMiner.†.
