Expert System for Detecting Mental Disorder with
Forward Chaining Method
Abstract—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 (coassistants
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.