Optimizing Productivity: Internet of Things based Workload and Stress Monitoring using Galvanic Skin Response (GSR) Sensor Analysis and Microcontroller Arduino Uno

This study was conducted with the aim of testing and implementing a microcontroller-based environmental monitoring system that measures temperature, humidity, and galvanic skin response (GSR) in real time resulting from changes in skin resistance due to sweat glands triggered by a person’s emotional condition. This system consists of a DHT11 sensor to detect temperature and humidity, and a GSR sensor to measure the level of skin conductivity as an indicator of a person’s stress or emotions. The data obtained is then displayed on a small LCD screen embedded in the top of the device. The experiment was carried out by the researcher inserting both of his fingers and the researcher while watching films with different genres to produce different emotional changes and the GSR sensor will work to detect changes in skin resistance resulting from the sweat glands and accumulate the results into a value. Then, variations in data obtained from experiments that have been carried out several times will be processed and the results obtained are in the form of a graph containing the interval of ups and downs of emotions based on time and the value of the GSR sensor and it is concluded how the situation in the surrounding conditions can affect changes in a person’s emotional condition.