Mental disorders are specific conditions associated with symptoms and pain that cause disruptions in psychosocial functioning. In general, people who want to diagnose mental disorders need to meet directly with a doctor. This research aims to develop an expert system that can assist in the process of diagnosing mental disorders, where this system can produce decisions equivalent to those of a doctor, so that the public no longer needs to meet a doctor directly for initial diagnosis. This research applies the forward chaining method with 5 types of disorders and 28 types of symptoms, which is a search technique that starts with known facts, then managed with existing data and applies inference rules to reach a conclusion. Thus, the application of this method has the potential to become an innovative solution in supporting the prevention and management of mental disorders from the early stages.
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