Work fatigue in heavy equipment operators can reduce productivity and increase the risk of work accidents. This study aims to design an Internet of Things (IoT)-based work fatigue monitoring system with an ergonomic approach to monitor the physical condition of operators in real-time in CV. Wana Indoraya Lumajang. This system measures working pulse, oxygen saturation, temperature, humidity, and calorie expenditure using a smartwatch whose data is processed through a cloud server. The research method involved the physiological measurement of the operator over six working days, with two daily measurement sessions. The results showed that the average operator’s pulse rate was 149.5 pulses/minute and calorie expenditure reached 598 kcal/min, indicating a heavy workload. In addition, a decrease in oxygen saturation as well as a rise in temperature and a decrease in air humidity in the workspace worsen fatigue conditions. 149IoT monitoring systems are effective in monitoring operator fatigue conditions in real-time, and can help supervisors in taking preventive measures to reduce the risk of accidents due to work fatigue.
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