The mask and body temperature detection system for public places is still operated manually. The system was found not to adjust to the conditions of office employees, which required them to always be on guard and check the body temperature of every employee who would enter the office. Therefore, a mask and body temperature detection system was designed as a prerequisite for internet of things-based attendance that can make it easier for office employees to check the body temperature of everyone who will work, and so that employees can be disciplined in time. This system requires a temperaturesensor to detect the body temperature of people who will enter. A person's body temperature is said to be normal if it is lessthan 37.20C. If the temperature exceeds 37.20 C, then a person cannot take attendance. In addition to having a normal body temperature, the second requirement must be met, namely passing mask detection. Someone must wear a mask before entering the room, before taking attendance using a fingerprint. Arduino Uno will send data from the temperature sensor to the database and a 16x2 LCD, so that the system can be connected to the web which can be monitored by the administrator to get data on the number of office employees based on body temperature. In addition, a Raspberry Pi is used which will senddata from the webcam as a result of the mask detection image processing. The results of this final project indicate that the data sent to the web is in accordance with the data based on testing tools.