Similarity-AF-Comparative Analysis of Dempster-Shafer Method and Certainty Factor Method On Personality Disorders Expert Systems

Teguh Yuwono, Doddy and Fadlil, Abdul and Sunardi, Sunardi Similarity-AF-Comparative Analysis of Dempster-Shafer Method and Certainty Factor Method On Personality Disorders Expert Systems.

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Abstract

Artificial Intelligence technology has now been widely applied to various types of health problems that exist. The Expert System is one of the media to solve it. Personality Disorder is a way of thinking, feeling, and behaving that makes people different from others. Everyone has previously published topics choosing to turn them over from finding solutions to overcome them. Without treatment and handling that is truly ordinary, it will take into account that everything that is done is truly deviant in general. In this study,discussing to develop expert systems that can diagnose a person's personality disorder, by comparing the Dempster-Shafer method and the Certainty Factor method in determining the
accuracy of personality disorders. The Dempster-Shafer method uses expert weight values which are the basis of system knowledge, while the Certainty Factor method has several variables that are used as systematic knowledge,
namely expert weight values which are the basis of system knowledge and user input weight values. In the study, there were 20 medical records from the Counseling Guidance Laboratory of the Muhammadiyah Palangkaraya University
that were used. The test results show that the Dempster-Shafer Method has accuracy in diagnosing disease up to 90%, while the Certainty Factor method of system accuracy is 85%. So it can be concluded that the Dempster-Shafer method
is more accurate in diagnosing Personality Disorders

Item Type:	Artikel Umum
Subjects:	Q Science > Q Science (General) T Technology > T Technology (General)
Divisi / Prodi:	Master (Magister) > Master of Technology Informatica (Magister Teknologi Informatika)
Depositing User:	Drs. Abdul Fadlil, M.T., Ph.D.
Date Deposited:	22 Aug 2022 01:21
Last Modified:	22 Aug 2022 01:25
URI:	http://eprints.uad.ac.id/id/eprint/36367

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