Desain Sistem Internet of Things untuk Pemantauan Parameter Fisiologis Tenaga Kerja di Lingkungan Kerja Industri

Abstract

Occupational safety and health are fundamental aspects in industrial environments, as they are directly linked to maintaining workforce performance and preventing health disturbances that may lead to reduced concentration and increased risk of accidents. With ongoing technological advancements, there is a growing need for systems that can monitor workers’ physiological conditions digitally, accurately, and efficiently. This study aims to design and implement a monitoring system based on the Internet of Things (IoT) that is capable of tracking heart rate and body temperature in real time. The system is developed using the ESP32 microcontroller, connected to the MAX30102 sensor for measuring heart rate and oxygen saturation, and the AHT25 sensor for measuring body temperature. Collected data are wirelessly transmitted to the Firebase Realtime Database and visualized through a web-based interface featuring login authentication, dashboards, monitoring pages, historical graphs, and data logging. Initial testing indicated that the system yielded error rates of 13.27% for heart rate, 13.33% for oxygen saturation, and 10.78% for body temperature. After implementing software-based calibration aligned with reference measuring devices, the error rates significantly decreased to 6.93%, 3.07%, and 5.8%, respectively. These results demonstrate that the system offers an acceptable level of accuracy for basic physiological monitoring. Moving forward, the system holds promising potential for further development through the integration of adaptive machine learning algorithms, automated alert features, and improved user interface design to enhance the effectiveness, responsiveness, and digital integration of occupational safety monitoring.