SLEEP DISORDER DIAGNOSIS EXPERT SYSTEM USING CERTAINTY FACTOR METHOD
Rachmat Jaenal Abidin (a*), Faiz M Kaffah(a), Pramita Khaerunisa(a), Popon Dauni(a), Muhammad Indra Nurardy Saputra(a)
(a) Department of Informatics, UIN Sunan Gunung Djati Bandung, Indonesia
Abstract
Sleep disorders is a disorder experienced by a person when the REM and NREM cycle don-t work normally. Prolonged sleep disorders can cause a variety of bad conditions such as depression, fatigue, reduce work, performance and endurance. It quickly offended till affect to our own safety. The latest study in 2018 conducted by Dr. Welly Sondakh, MPH in Jakarta revealed that there were 10% of people with insomnia from the Indonesian population or around 28 million people. The low public awareness of sleep disorders causes them to need alternative media, namely an expert system to diagnose sleep disorders. Expert system is a system that uses the knowledge of an expert to solve a problem in a particular field where the system is not limited by time and can be used by many people. The method used in this system is Certainty Factor as an inference engine to determine the results of the diagnosis based on the symptoms determined. The calculation of this method combines the MB (measure of increased belief) and MD (measure of increased disbelief) values obtained from experts. From 50 test data, 45 data were obtained so that the accuracy level reached 90%. This shows that the expert system of diagnosing sleep disorders is suitable for early diagnosis of sleep disorders
Keywords: Expert System, Sleep Disorder, Certainty Factor
Topic: Computer Science