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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA
Natalia Silalahi
STMIK Budi Darma Jln. Sisingamangaraja No. 338 Medan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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DATA MINING UNTUK MEMPREDIKSI JENIS TRANSAKSI NASABAH PADA KOPERASI SIMPAN PINJAM DENGAN ALGORITMA C4.5 Hikma Widayu; Surya Darma Nasution; Natalia Silalahi; Mesran Mesran
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 1, No 2 (2017): Juni 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v1i2.323

Abstract

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.
Co-Authors Hikma Widayu Mesran, Mesran Surya Darma Nasution