SISTEM PAKAR DIAGNOSA GANGGUAN KECEMASAN MENGGUNAKAN METODE TEOREMA BAYES

KURNIA, NURSHABRINA ALYANI and Utami, Alvi Syahrini and Arsalan, Osvari (2022) SISTEM PAKAR DIAGNOSA GANGGUAN KECEMASAN MENGGUNAKAN METODE TEOREMA BAYES. Undergraduate thesis, Sriwijaya University.

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Abstract

Anxiety disorders are mental disorders in which sufferers experience excessive anxiety. Many people don't realize that they may have an anxiety disorder. In this study, an expert system for diagnosing anxiety disorders was built which aims to assist people in diagnosing anxiety disorders and knowing their level of accuracy. The method used in this expert system is to use the Bayes Theorem method to calculate the probability of an event occurring based on the influence obtained from the observations. The process of diagnosing this expert system is that the system will display the symptoms of the disease obtained from the expert then the user selects several symptoms that have been experienced than the system will perform calculations using the Bayes Theorem method and the system will display the results of the diagnosis of anxiety disorder and its probability value. Based on the test results of the 110 data tested, there were 94 data by the results of the expert's diagnosis and 16 data did not match the results of the expert's diagnosis so the results obtained an accuracy value of 85.78%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Gangguan Kecemasan, Sistem Pakar, Teorema Bayes
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Nurshabrina Alyani Kurnia
Date Deposited:	30 Jan 2023 01:43
Last Modified:	30 Jan 2023 01:43
URI:	http://repository.unsri.ac.id/id/eprint/87919

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