Optimalisasi Data Tidak Seimbang Pada Data Nasabah Koperasi dalam Pemberian Pinjaman Menggunakan Random Oversampling

Cooperatives have developed from time to time, in providing services, credit cooperatives certainly certain requirements as prospective customers receive loans. need check whether interested parties will Loans are the main source of income for cooperatives. In data mining, there several classification algorithms that can be used analysis, including Random Forest and C4.5 Algorithm. Data on received a condition applying is processed using mining Algorithm support analysis order obtain accurate information prospect who applies feasible or not, this study was conducted classify loans customers. cooperative method which optimized by Oversampling because dataset an unbalanced condition. testing with Oversampling, it gets accuracy 78.03%, where increases 7.89% previous 70.14%. Meanwhile, has value 87.12%, increase 23.69% test 63.43