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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Pengabdian UntukMu NegeRI Jurnal Riset Informatika Journal of Education Informatic Technology and Science
Melly Novalia
Universitas Muhammadiyah Riau
Computer Science & IT Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : Jurnal Riset Informatika

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DESIGN OF EXPERT SYSTEM FOR IDENTIFY ANXIETY DISORDER USING FORWARD CHAINING Finanta Okmayura; Vitriani Vitriani; Melly Novalia
Jurnal Riset Informatika Vol 3 No 3 (2021): Period of June 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (622.697 KB) | DOI: 10.34288/jri.v3i3.246

Abstract

Anxiety is an excessive anxiety disorder in psychology. People are basically not aware that they may have symptoms of this anxiety disorder in each of them. And if not treated as soon as possible can interfere with a person's psychological condition. It may seem trivial but this disorder can reduce performance so that it has an impact on a person's life. To overcome this problem, we need an expert system that can identify anxiety disorders. This system is designed using UML (Unified Modeling Language) diagram modeling. The purpose of this UML modeling is to describe the user's needs for the system and what things can be done by the system, so that with this UML modeling the entire system picture can be seen. The UML modeling for the expert system for early identification of anxiety disorders is expected to be a tool that can assist the process of making the system, where people can check whether they suffer from anxiety disorders or not to consult a psychologist.
Co-Authors Alya Andriani Putri Edi Ismanto Edi Ismanto Finanta Okmayura Herlandy, Pratama Benny Noverta Effendi Nurhayati Nurhayati Pratama Benny Herlandi Rahmad Al Rian Rahmad Alrian Resmi Darni Vitriani Vitrian Vitriani Vitriani