Financial Distress Prediction in Indonesia Stock Exchange's Listed Company Using Case Based Reasoning Concept

Predict financial distress is an important thing for investor's need to decide whether should put the capital or not. The earning's performance is one of the sign of the distress. Case based reasoning is implementing the highest level of data similarity in its concept. The algorithm should be supported by huge data. This is in line with the Indonesia Stock Exchange's data that has not been maximally utilized. This CBR algorithm can be used to assess the financial company performance in order to make the right investment decision. The ability of this algorithm to do the prediction is showed by the accuracy result of 82% This research also confirmed that the complete CBR system improves all of the evaluation scoring.