Development of Fuzzy Logic Application to Determine Credit Limit Based on Total Deposit, Income and Collateral Inputs (Case Study: XYZ Credit Union)

  • Yulianti Paula Bria
  • Yusvina De P. Lengga

Abstract

XYZ Credit Union is a union which has 2,259 members in which there are 386 members
who could not repay the loan on time. It is caused by credit analysis factors that were not
accurate and also caused by financial reports were careless because it was still done
manually. Therefore, it was necessary to develop the application of fuzzy logic to determine
a credit limit based on total deposit, income and collateral inputs that were expected to help
resolve problems in the process of calculation in determining the credit limit quickly and
accurately. The fuzzy inference method used was Mamdani method, while the programming
language used was C # (C Sharp) with MySQL as database. Fuzzy logic application
produces an application that can be used to help employees, especially in the credit
department at XYZ Credit Union in determining the credit limit based on total deposit,
income and collateral that can minimize losses on union.

How to Cite
PAULA BRIA, Yulianti; LENGGA, Yusvina De P.. Development of Fuzzy Logic Application to Determine Credit Limit Based on Total Deposit, Income and Collateral Inputs (Case Study: XYZ Credit Union). Proceeding ICIRAD, [S.l.], v. 1, n. 1, nov. 2015. Available at: <https://eproceeding.undiksha.ac.id/index.php/icirad/article/view/149>. Date accessed: 21 oct. 2020.