Diagnose of Mental Illness Using Forward Chaining and Certainty Factor

Abstract

The prevalence of mental disorders in Indonesia is increasingly significant, as seen from the 2018 Riskesdas data. Riskesdas records mental, emotional health problems (depression and anxiety) as much as 9.8%. This shows an increase when compared to the 2013 Riskesdas data of 6%. Based on these data, it can be said that many people still suffer from mental disorders. Meanwhile, the number of medical personnel, medicines and public treatment facilities for people with mental disorders is still limited. In addition, the lack of public awareness, concern and knowledge about mental health causes a lack of public interest in consulting a psychologist, so people tend to self-diagnose. One solution for self-diagnosis is to use an expert system. This study developed an expert system using the forward chaining method and certainty factor. Based on the research conducted, the results are as follows. First, the expert-based system that has been developed can help provide the results of a diagnosis that is carried out before there are complaints and will be detected early by efforts to increase awareness of the prevention of mental illness and reduce the tendency to self-diagnose. Second, applying the forward chaining method and certainty factor to this expert system can produce an accuracy rate of 95.918%. An expert has also validated these results; in this study, the expert was a psychologist at a hospital in Yogyakarta.

Pre-Eclampsia Diagnosis Expert System Using Fuzzy Inference System Mamdani

“…This examination is always carried out in hospitals, health centers or other health clinics. With a practical application that can be applied efficiently and effectively for the early diagnosis of pre-eclampsia, ordinary people can make an early diagnosis and can immediately start treatment (Anindita, et al, 2023).…”

“…There are 3 FIS methods that can be used in processing decisions, namely the Tsukamoto method, the Mamdani method and the Sugeno method (Surorejo, Chaeriko, & Ananda, 2022) There are many researchers who have applied FIS in the process of diagnosing diseases, including diagnosing fever in toddlers, diagnosing coronary heart disease, diagnosing diabetes mellitus, diagnosis of ear, nose and eye disease or ENT, detection of lymph node disease, diagnosis of eye disease and risk diagnosis of heart disease. However, detecting pre-eclampsia in pregnant women has never been done (Juwita, Sarjon, & Yuhandri, 2021), (Sitinjak, 2021), (Rizki & Maulana, 2018), (Rizky & Hakim, 2020), (Novianti, Pribadi, & Saputra, 2018), (Dona, Maradona, & Masdewi, 2021), (Anindita et al, 2023), (Ananta, Putra, Purnawan, Purnami, & Putri, 2018), and (Hanif et al, 2022). (Nizar, Shafira, Aufaresa, Awliya, & Athiyah, 2021),diagnosed diabetes using the three FIS methods and obtained the result that the Sugeno method had the highest level of accuracy in analyzing, namely 97.33%, followed by the Mamdani method of 95.33% and the Tsukamoto method had the highest accuracy.…”