DESIGN OF MENTAL DISORDER CONSULTATION SYSTEM WITH DECISION TREE METHOD

AHMAD SARIF HIKMAWAN, EKO PRASETYO, RIFKI FAHRIAL ZAINAL

Abstract


The expert system for diagnosing mental disorders that will be built can minimize doubts in determining the 
level or category of disorders suffered by patients, so patients can be dealt with quickly according to the level of the  disorder they suffer. Diagnosing the level of mental disorders using the expert system will record the symptoms of the  patient and will diagnose the level of the disorder based on the knowledge obtained from an expert, the mental disorder  expert system uses the Decision Tree method. in general is a system that seeks to adopt human knowledge to computers,  so that computers can solve problems as they are usually done by experts or before consulting a psychologist without  reducing  the  expert  role  of the  psychologist  or in  other  words  expert  systems  are  systems that  are  designed and  implemented  with  help  certain  programming  languages  to  be  able  to  solve  problems  as  experts  do  quickly  and  efficiently. It is hoped that with this system, lay people can be more sensitive in recognizing the level of psychiatry in  person. As for the experts of this system can be used as an assistant or supporting the performance of psychologist  officers. Based on the results of the system tests that have been done, the accuracy of 97.5% results and system error  2.5% and the percentage of each diagnosis, 32% psychosis, 27% Neurosis, 17% Learning Soldered, 12% Juvenile  Delinquency and Growth Flower 10%.


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