Classification of stress levels of medical workers in knowing performance levels in productivity based on fuzzy logic.

Stress is a common response experienced by the human body when faced with certain conditions such as being depressed. Stress indicators can be found in productive age, especially in increasing production in a company. Stress can occur in all age ranges but in general, stress is mostly experienced in adulthood. If a person experiences stress, the body will react to respond to the cause of stress. One of the body's responses that occur when a person experiences stress is an increased heart rate, increased blood pressure, low blood oxygen levels and decreased body temperature. Medical workers are at the forefront of handling COVID-19 patients, which is increasing day by day the number of people exposed to it. The purpose of this study was to classify the level of stress by looking at stress indicators such as heart rate, blood pressure, blood oxygen levels and body temperature of medical workers in several hospitals in Semarang. In this study, a system was made to diagnose the level of saturation and tension in humans with the fuzzy logic method, using several vital sign sensors, namely, a temperature sensor to measure body temperature, a heart pressure sensor and a blood oxygen level sensor (SPO2). Heart rate sensor to find out how many heartbeats occur in one minute or Beat Per Minute (BPM). The heart pressure sensor shows the top pressure (systolic) and bottom pressure (diastolic) of the employee. The SPO2 sensor shows oxygen levels in the blood, the lower the SPO2 value, the higher the person's stress value. The body temperature sensor shows the lower the body temperature value, the more stressed a person is. The four output parameters of the defuzzification process are 'relaks', 'tenang', 'cemas' and 'tegang'. The three designations of sensor values will be sent via a wireless network to the database and the data processing using the fuzzy method is carried out on the webserver. Testing on 156 subjects of system sensor data succeeded in sending and storing data in the database with a percentage of 100%. [ABSTRACT FROM AUTHOR]