The purpose of this research is to monitor the temperature by applying arduino pro mini and ESP32 cam using IoT technology which is connected to a web interface. Arduino is used as the main brain of the system where arduino will read data from the MLX90614-ACF temperature sensor. Sensor data will continue to be sent to the server by arduino via the ESP32 cam module. This tool can also take pictures and send images automatically at the same time when measuring temperature. The captured image will automatically be sent to the PC/laptop monitor screen via the website. The website is used to display and monitor the results of temperature measurement data and display the image results from the ESP32 cam. The process of taking photos and measuring body temperature is done automatically. Users can also view data from sensors and photo data sent by arduino and ESP32 cam via the provided web interface. From the test results, this system has been running well where all sensor data is sent and can be displayed on the website. Images and measurement data results are sent to the monitor screen via the website interface with a measurement accuracy of 99.6%.

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COVID pandemic has influenced human life in various sectors. Various attempts were made to reduce the virus transferring by work from home, social distancing, and also including hand hygiene. So far, most of the available hand sanitizers do not operate automatically. This article aims to make an automatic hand sanitizer where soap and water can come out automatically. Besides that, automated hand sanitizer will make notification to the owner, if the liquid has run out to the smartphone. The infrared (IR) will sense the presence of heat and motion of the object with the distance up to 50mm. It send data to the Arduino Nano to activate the pump. If the ultrasonic sensor detect the distance of water to he sensor 35 cm it will send data to node MCU that connect to Blink server. It can transfer the data to the output devices such as smartphones or PC based on the Internet of Things (IoT). The results of the hand sanitizer testing that the system can run smoothly with a minimum detection error of transferring data.

Researchers designed and implementation of thermal body measurement system for Unesa residents when they entered the building. The system design is made using engineering methods. Before body temperature is measured, the object will occupy a position at a predetermined point. At that point installed LDR which functions to turn on the servo motor that will move down and turn on the infrared sensor. At an altitude that has been detected by an infrared sensor, the motor will stop and start the temperature measurement process. The temperature sensor uses MLX 90614 which reads data from the reflection of infrared light in the form of raw data. Then the data is processed by a microcontroller using Arduino to become real data. The processed temperature data is displayed by the LCD and sent to the esp32-cam camera. Then esp32-cam will take photos as documentation. Data that has been processed will be grouped according to the 'condition' group that has been determined. Data that has been obtained in the form of temperature data, condition data and photo documentation, is sent to the webserver for display. All temperature measuring components have shown accurate data with the following test results. Sensor Temperature sensor MLX 90614 can measure temperatures at a distance of 30 cm. The temperature measurement program code on Arduino works well with a temperature value of 37.3oC. Camera image output format esp32-cam is a JPEG that is displayed on the websever. The Body Temperature Measurement System using the MLX 90614 Temperature Sensor for Early Detection of COVID-19 Symptoms can be used with an average error of 0.6% and a standard deviation of 0.078.