ANALISIS MODEL RGEC DALAM MEMPREDIKSI FINANCIAL DISTRESS PADA PERBANKAN SYARIAH DI INDONESIA

The aim of this study was to test whether non-performing Finance (NPF), Finance to Deposit Ratio (FDR), Good Corporate Governance (GCG), Return on Assets (ROA), Net Operating Margin (NOM), and Capital Adequacy Ratio (CAR) can be used to predict financial distress on Islamic Banks in 2011-2014. This test uses variable data of the current year for the dependent variable (Y) and variable data the previous year for the independent variable (X). The samples used in this study were 38 banks. The data used in this research is secondary data to look at the financial statements and GCG implementation report published by the respective Islamic banks. Test equipment used to test the hypothesis is logistic regression. Results from this study indicate that the ratio of FDR, GCG, NOM, and CAR can be used to predict financial distress, while the NPF ratio and ROA cannot be used to predict financial distress on Islamic Banks with a significance level of 0.05 Keywords : Financial Ratio, Financial Distress, Islamic Banks, Risk Profile, Good Corporate Goverance, Earning, Capital, Logistic Regression