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All Journal Jurnal Inovasi Teknologi Terapan
Madiza Arradea, Muhammad Rezi
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Agriculture, Biological Sciences & Forestry Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

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Alat Pendeteksi Jatuh pada Lansia dalam Keadaan Rawat Jalan Berbasis Internet of Things (IoT) Eriska, Septia; Madiza Arradea, Muhammad Rezi; Zanu Saputra; Khasanah, Nur
Jurnal Inovasi Teknologi Terapan Vol. 3 No. 1 (2025): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v3i1.303

Abstract

Falls among elderly individuals pose a serious risk, potentially leading to injuries or death. This study presents a real-time fall detection device integrated with the Internet of Things (IoT) to notify caregivers promptly. The device employs the MPU6050 sensor for movement and orientation detection, and the MAX30100 sensor for monitoring heart rate and blood oxygen saturation. Data from these sensors are processed using an ESP32 microcontroller and transmitted to a mobile application developed with MIT App Inventor. Testing results indicate high accuracy, with the deviceachieving a 93% succes rate in detecting various fall scenarios and over 97% accuracy in health parameter measurements. Notifications are delivered with in an average of 4.8 seconds, demonstrating its effectiveness in real-time monitoring. This development aims to improve the quality of life for elderly individuals through continuous health monitoring and rapid response to fall incidenst.
Co-Authors Eriska, Septia Nur Khasanah Zanu Saputra