Expert system for detecting mental disorder with Forward Chaining method

In 2005, 264 pupils of 1000 households in Indonesia had suffer from mental disorder. Currently, the number of that people tends to increase, possibly related to the economic crisis and social problems. Unfortunately, the number of psyciatrists are still rare in Indonesia. The number of psychiatrists in 2010 is around 616 people. Therefore, Indonesia still requires a lot of experts to address and overcome the problem of mental disorder. By using an expert system, it can be addressed by a number of general doctor whose number 71.307 lives in 2010. An Expert System (ES) is a computer based information systems that use expert knowledge to attain high level decision performance in a narrowly defined problem domain. This means, by using an expert system a general doctor can solve the problem as if he or she is a psychiatrist. The issues raised in this research is how to make an expert system for mental disorders with Forward Chaining method. This expert system are built by acquiring expert´s knowledge as its knowledge and by using MINI ICD-10 as the instrument. This expert system testing was performed by co-assistants where 100 patients were checked randomly who came to The Outpatient Clinic, Dr. Cipto Mangunkusumo National Referral Hospital. The testing validation were performed by the experts directly and indirectly by the patients´ medical record (co-assistants did not know the patients diagnosis and history before). The accuracy value of this system is 96%, which is calculated by comparing expert system´s result with the true value in the detection system with the number of tested patients diagnosed by phsyciatrists.