Analisis Perilaku Pengguna dalam Aplikasi Mobile Berbasis Emotion-AI untuk Deteksi Burnout

Penulis

  • Rahmawati Rahmawati universitas almarisah madani
  • Amiruddin A Politeknik Lembaga Pendidikan dan Pengembangan Profesi Indonesia

Kata Kunci:

Emotion-AI, Burnout, Mobile Application, Behavior Analysis, Digital Mental Health

Abstrak

This study aims to analyze user behavior in a mobile application that utilizes Emotion-AI to

detect symptoms of burnout. With increasing work pressure and the widespread use of digital

devices, it is important to understand how technology can assist in the early detection of

psychological conditions. The study uses user behavior data such as app usage duration, facial

expressions, voice tone, and interaction patterns, which are analyzed using an emotion-based

artiBicial intelligence model. The results show that Emotion-AI is capable of identifying early

indicators of burnout with an accuracy of up to 87%, as well as providing preventive

notiBications to users. These Bindings highlight the signiBicant potential of integrating emotion-

based technology to support mental health through mobile applications.

Unduhan

Diterbitkan

14-09-2025

Cara Mengutip

Rahmawati, R., & A, A. (2025). Analisis Perilaku Pengguna dalam Aplikasi Mobile Berbasis Emotion-AI untuk Deteksi Burnout. Jurnal Informatika Dan Sistem Informasi, 1(1), 7–21. Diambil dari https://istech.biteks.my.id/index.php/inforis/article/view/7

Terbitan

Vol 1 No 1 (2025): Juli - Desember

Bagian

Articles