Decision Supporting System of Granting Loans with Binary Logistic Regression

Samsul Pahmi
Ade Hudiana (Universitas Nusa Putra)
Lesri (Universitas Nusa Putra)
Santi Laswati Suryadi (Universitas Nusa Putra)
Lucas Cramer (Halberstadt, Germany)
Bahadir Ozsut (Cukurova University, Adana, Turkey)

International Journal Engineering and Applied Technology (IJEAT)
Vol. 4 No. 2 (2021): International Journal of Engineering and Applied Technology (IJEAT)

This research aims to identify the existing problems on the Koperasi Karya Usaha Mandiri as skim credit for poor families by granting credit in groups. The issue raised, namely the influence of Decision Supporting System of Granting Loans against credit jam. This research is a type of quantitative research which uses 8 independent variables and 1 dependent variable. Method of data collection in this research is the observation, interviews, literature studies and documentation. This research method uses Binary Logistic Regression to analyze the determination decision granting loans to prospective members and cause bottlenecks in financing micro-credits in Koperasi Karya Usaha Mandiri Syariah.