IMPLEMENTASI METODE BACKWARD CHAINING PADA APLIKASI PENENTUAN GANGGUAN SLEEPING DISORDER

Pertiwi, Septia Intan (2020) IMPLEMENTASI METODE BACKWARD CHAINING PADA APLIKASI PENENTUAN GANGGUAN SLEEPING DISORDER. Majalah Ilmiah Kaputama, 4 (2). pp. 76-81. ISSN 2548-9720

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Abstract

Sleep is very important for humans because sleep determines the rhythm of everyday life. Sleep quality with enough time will help to restore energy and improve the quality of human life. However, if there is sleep disturbance and lack of sleep, enthusiasm and energy will decrease. Every human being spends a quarter to a third of the entire world. The similarity of symptoms that exist in sleep disorders makes doctors and psychology inhibited in diagnosing types of sleep disorders. The era of information technology (IT) helps human work by giving birth to supporting technology to simplify work by giving birth to systems to solve a problem. Computers easily present knowledge that illustrates how an expert approaches a problem, called an expert system. Expert system for diagnosing sleeping disorder type using Backward Chaining method was chosen on the grounds that this system can adopt human knowledge to computers. So that the computer can solve problems like those of hali. With the Backward Chaining method, this application can find the type of sleeping disorder easily, quickly, precisely and efficiently. The results showed that there were 9 types of sleeping disorder consisting of insomnia, transient insomnia, short-term insomnia, chronic insomnia, narcolepsy, hypersomnia, parasomnia, sleep apnea, and sleep paralysis. The application of an expert system with the Backward Chaining method is able to diagnose all types of sleeping disorder properly based on the symptoms complained of by the patient so that the patient can quickly and accurately find out the type of sleeping disorder suffered. This application is for the future to be able to further enrich the complexity of symptoms in order to provide more complex analysis information.

Item Type: Article
Uncontrolled Keywords: Sleeping Disorder, Expert System, Backward Chaining Method, Diagnosis
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Sains dan Teknologi > Teknik Informatika
Depositing User: Perpus ID UMMI
Date Deposited: 23 Mar 2021 03:33
Last Modified: 23 Mar 2021 03:33
URI: http://eprints.ummi.ac.id/id/eprint/1640

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