Predicting Bank Loan Application Approval using Logistic Regression Method

Dadang Amir Hamzah (President University)
Akbar Jabbarudin (President University)
Haura Nizar Nabila (President University)
Muhammad Alfarisi (President University)
Salwa Fayza Alkatraz (President University)
Zievan Ananta Pahlevi (President University)

Jurnal Rekayasa Teknologi dan Sains Terapan
Vol 4 No 1 (2022): Jurnal Rekayasa Teknologi dan Sains Terapan

This paper provides an overview of the analysis that affects a bank based on existing data records. By using logistic regression, the dependent variable is a defining feature that determines whether there is an investment or not investment. On the other hand, the independent variables are analyzed by using exploratory data analysis to identify which characteristic has the highest correlation with the dependent variable. Based on selected features, the logistic regression model is created and used to generate the prediction data. The predicted data will provide an excellent approximation for the actual data.