DATA MINING UNTUK MEMPREDIKSI JENIS TRANSAKSI NASABAH PADA KOPERASI SIMPAN PINJAM DENGAN ALGORITMA C4.5

Hikma Widayu (STMIK Budi Darma Jln. Sisingamangaraja No. 338 Medan)
Surya Darma Nasution (STMIK Budi Darma Jln. Sisingamangaraja No. 338 Medan)
Natalia Silalahi (STMIK Budi Darma Jln. Sisingamangaraja No. 338 Medan)
Mesran Mesran (STMIK Budi Darma Jln. Sisingamangaraja No. 338 Medan)

JURNAL MEDIA INFORMATIKA BUDIDARMA
Vol 1, No 2 (2017): Juni 2017

In the field of business, data mining techniques are used to support a wide range of business intelligence applications such as customer profiling, targeted marketing, workflow management, store layout and fraud detection. Lack of predicting the type of Customer Transactions that exist in this cooperative makes the manager or leader of this cooperative difficult in terms of providing loans and also in accepting new cooperative members. Leaders also have difficulties in knowing the profession of customers who borrow the most at this cooperative. As for the process of predicting the type of Customer Transaction during this time, there is a saving and loan operation is still based on the direct view of the type of Customer Transaction and see the existing ledger notes of the cooperative.