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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI)
Iftitahrira Aulia Rahmi
Telkom University
Computer Science & IT Electrical & Electronics Engineering

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Mental Health Helper: Intelligent Mobile Apps in the Pandemic Era Anggunmeka Luhur Prasasti; Iftitahrira Aulia Rahmi; Syarifah Faisa Nurahmani; Ashri Dinimaharawati
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 3 (2021): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i3.22012

Abstract

Every human being faces various episodes of events that can cause changes in mental health conditions, including this coronavirus pandemic disease. The ups and downs of the psychological turmoil dynamics resulted, and also traumatic feelings can occur continuously or for a certain period. It can cause an adverse response for those who experience it and even cause anxiety or mental disorders. The implementation of restrictions on community activities during these pandemic circumstances makes people who want to check their mental health condition difficult to meet the experts or professionals such as psychologists. Therefore, the application that can detect these anxiety disorders as early as possible to minimize unwanted effects was developed. In the making of the application, an expert system is used to determine the results of the diagnosis. The expert system requires knowledge that is produced from experts, especially in the psychology field. The data that has been obtained will be processed and then yield the results determined from the classification of anxiety types using several methods in Artificial Intelligence. Several tests were carried out 50 times using Certainty Factor methods to obtain an accuracy rate of 96%. It has similar accuracy compared to the Naïve Bayes method. This application called Mental Health Helper has a validity and reliability test to prove that this application is valid and reliable. It has better performance than previous researches, which still only has two classes of diseases.
Co-Authors ANGGUNMEKA LUHUR PRASASTI Ashri Dinimaharawati Syarifah Faisa Nurahmani