Abstract
The main manifestation of COVID-19 disease infection is caused by respiratory system disorders. Periodic monitoring is needed to support good care and prevent complications caused by the slow response of nurses to the decline of the patient's clinical condition based on several physiological parameters in the National Early Warning Score COVID-19. This aim of this research is to build, design, and implement data acquisition systems on respiration sensors in a monitoring system or monitoring periodically based on the Internet of Medical Things (IoMT). The sensor that used to calculate the respiration cycle is the MPU6050 sensor by measuring the magnitude of the vibration. Sensor-scalable data will be acquired by the ESP32 microcontroller and sent to data storage on a computer over a W-Fi network in real time using the MQTT (Message Queuing Telemetry Transport) communication protocol and displayed in a web-based interface. The system that has been built runs well that can calculate the value of the respiration cycle per minute from patients with a small average deviation value of 1.26 % from manual calculations using stopwatches. Periodic monitoring can also be done with an average response time of 03.48 seconds. Keywords: ESP32 microcontroller, respiration cycle, COVID-19, MQTT
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