摘要：Islamic banking fall on stagnation of financial performance in 2011 after successfullyovercoming the financial crisis in 1998 and 2008, as though the Islamic banking sector hadonly run in place and had no clear purpose in developing the Islamic finance business. Thepurpose of this study is to clarify the variables that predispose financial performance, aswell as predict the decrease and increase of financial performance. This study uses anArtificial Neural Network (ANN) model to find out the variables that affect financialperformance and predict the decrease and increase of financial performance of sharia andconventional banking for the next five months. This research generates the variables whichaffect the financial performance of sharia banking and the prediction of financialperformance over the next five months. The variables which affect the level of financialperformance of sharia banking affected dominantly by inflation, although the results ofconventional banking are the same but not too significant. This shows that sharia bankingCBGB (Commercial Bank – Group of Business) 2 is very vulnerable with macroeconomicfactors compared with conventional banking. ANN predictions produce an average of 80%success in predicting performance over the next five months.
