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All Journal Journal of Security, Computer, Information, Embedded, Network and Intelligence System
Saputra S., Syawal
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Computer Science & IT Engineering

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Moodiary: Aplikasi Pencatat Suasana Hati Ananta, Anggi Diva; Nur, Muhammad Faturrahman; Saputra S., Syawal
Journal of Security, Computer, Information, Embedded, Network, and Intelligence System Vol. 3, No. 1 (June 2025)
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/scientist.v3i1.20254

Abstract

Moodiary is an Android application developed to help users track their moods and daily activities, aiming to enhance self-awareness and emotional reflection. The app integrates Firebase Authentication for secure login and Firebase Realtime Database for real-time data storage. Featuring a minimalist and user-friendly interface, users can log their daily moods, write short personal narratives, and monitor emotional trends through data visualizations. Moodiary was developed using the Agile methodology, enabling iterative development based on user needs. Key features include icon-based mood tracking, mood history charts, daily reminders, and profile customization. Functional and non-functional testing results show excellent performance in terms of availability, reliability, security, and user experience. Thus, Moodiary serves as an effective digital solution to support mental well-being and self-reflection, particularly for mobile users seeking fast, secure, and personalized emotional tracking tools.
Co-Authors Ananta, Anggi Diva Nur, Muhammad Faturrahman