Tugas Akhir Informatika
SISTEM PAKAR UNTUK MENDIAGNOSIS GANGGUAN MENTAL PADA ANAK MENGGUNAKAN METODE FORWARD CHAINING DAN CERTAINTY FACTOR
Mental health problems in children, such as stress, anxiety, or depression are real and these problems are as important
as physical health problems, but many children do not get the care they need so an artificial intelligence technology
such as an expert system can help diagnose the disorder mentally in children early. This research developed an expert
system to diagnose mental disorders in children using the mobile-based Forward Chaining and Certainty Factor method
that diagnoses 7 types of mental disorders in children from 46 symptoms obtained based on the knowledge of 3
experts. Based on the results of the black box testing states that the expert system that was built has had compatibility
in terms of functionality. The results of the theoretical calculation test states that the calculation system of an expert
diagnosis of a child's mental disorder is in accordance with the results of calculations done manually. In testing the
accuracy of the system from 30 cases tested on 3 experts, the expert system that was built succeeded in producing
system accuracy values based on the final belief value of the three experts, based on the belief values of experts 1, 2,
and 3, respectively 91.11%, 96.67%, 96.67% and 80%. Furthermore, the results of MOS testing conducted on 35
respondents produce MOS of 4.12 from a scale of 5 where based on that value the expert system built is categorized
into a good system.
Tidak ada salinan data
Tidak tersedia versi lain