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Development of an Android-Based Application for Emotion Regulation in Anxiety Disorder Patients Using the RoBERTa Algrithm

  • Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

—Anxiety disorder is a prevalent mental health condition that disrupts daily functioning, affecting approximately 301 million people worldwide in 2019. In Indonesia, one in six individuals experiences this condition, yet only 27.6% receive proper care due to stigma, lack of awareness, and limited access to services. To address these challenges, this study developed an Android-based application featuring an emotion regulation chatbot powered by the RoBERTa NLP model to detect user emotions in Indonesian text. The application integrates personalized chatbot interactions, Cognitive Behavioral Therapy (CBT)-based breathing exercises, journaling, mood tracking, and educational resources. Built on an MVVM Android architecture with a Flask backend and PostgreSQL database, the system was tested for functionality and usability. A System Usability Scale (SUS) evaluation with nine participants yielded a score of 82.5, classifying the app as “Excellent.” These results demonstrate its potential to support individuals in effectively managing anxiety.

Original languageEnglish
Title of host publicationProceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia 2025, CENIM 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages322-325
Number of pages4
ISBN (Electronic)9798331578541
DOIs
Publication statusPublished - 2025
Event6th International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2025 - Surabaya, Indonesia
Duration: 25 Nov 202526 Nov 2025

Publication series

NameProceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia 2025, CENIM 2025

Conference

Conference6th International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2025
Country/TerritoryIndonesia
CitySurabaya
Period25/11/2526/11/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Anxiety Disorder
  • Mental Health Support
  • RoBERTa
  • chatbot
  • mHealth

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