Expert System for Diagnosing Narcissistic Personality Disorders Using Certainty Factor and Forward Chaining Methods
khaerul Manaf (a*), Undang Syaripudin (b), Mujiburrahman (c), Esa Firmansyah (d)

a) Information Systems,Faculty of Engineering,Universitas Sangga Buana,Jalan PHH Mustofa No.68 , Bandung 40124, Indonesia.
b,c)Informatics,Science and Technology,UIN Sunan Gunung Djati Bandung
Jl. A.H. Nasution No.105, Bandung 40614, Indonesia.
d) Informatics, STMIK Sumedang ,Jl.Angkrek Situ No.19, Sumedang 45323, Indonesia.


Abstract

Personal with Narcissistic disorders has a purpose with interests that are not reality, excessive, these properties are known as grandiosity. People with narcissistic disorders expect others to praise and follow their wishes and requests and narcissists are less sensitive to the needs of those around them. The research association of the All India Institute of Medical Science, which resulted in a period of six years, 259 people throughout the world died throughout October 2011to November 2017 with the percentage of men 72.5 percent and women 27.5 percent due to selfies due to excessive narcissism. It is said that the calculated numbers are known and recorded only, where it is very likely that there are some unknown cases. 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 is Certainty Factor and Forward Chaining as an inference engine to determine the diagnosis results based on the specified symptoms. Calculations in this method combine the MB (measure of increased belief) and MD (measure of increased disbelief) values obtained from the expert and also classify the narcissistic personality disorder so that this expert system helps the user to find the level of narcissism that matches the users experience and obtain the value of trust and recommendations for handling narcissistic personality disorders.

Keywords: Narcissistic Disorders, Expert Systems, Certainty Factor, Forward Chaining.

Topic: Computer Science

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