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All Journal Informatik : Jurnal Ilmu Komputer
Ravi Bimantara
Universitas 17 Agustus 1945 Surabaya
Computer Science & IT

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SISTEM DETEKSI JATUH UNTUK MENINGKATKAN KESELAMATAN LANSIA MENGGUNAKAN SENSOR MPU-6500 DAN ESP32 BERBASIS IOT Ravi Bimantara; Agung Kridoyono; Mochamad Sidqon; Anton Breva Yunanda; Istantyo Yuwono
Informatik : Jurnal Ilmu Komputer Vol 22 No 2 (2026): August 2026
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v22i2.11961

Abstract

Falls are one of the major risks threatening the safety of the elderly, potentially causing serious injuries or even death. To mitigate this risk, this study developed an Internet of Things (IoT)-based fall detection system using the MPU-6500 sensor and ESP32 microcontroller. The system is designed to be portable and worn in the user's pocket, detecting abnormal motion patterns through the analysis of body acceleration and orientation data. The research methodology includes hardware and software requirements analysis, the design of a fall detection algorithm based on sum vector values and body orientation angles, and integration with a Telegram bot for real-time notifications. The system provides alerts through a wearable alarm, an external siren, and automated messages sent to caregivers or family members. Implementation results show that the system can detect falls accurately, respond quickly, and operate efficiently on low power, making it a practical and cost-effective solution to enhance elderly safety.
Co-Authors Anton Breva Yunanda Istantyo Yuwono, Istantyo Kridoyono, Agung Mochamad Sidqon