Prototype of Non-Contact Clinical Thermometer Calibrator Device Using Mamdani Fuzzy Logic Control System

— Elevated body temperature is a common sign of various medical conditions, including viral or bacterial infections such as SARS-CoV2 and influenza. Non-contact thermometers provide a safe way to measure temperature without direct contact, reducing the risk of spreading disease. However, measurement accuracy and consistency require proper calibration tools. This study developed a prototype of a non-contact thermometer calibrator using the Mamdani fuzzy logic control system. This tool is designed to improve the efficiency and flexibility of the calibration process compared to conventional methods that heat water. Mamdani fuzzy logic control is applied to the Positive Temperature Coefficient component to regulate temperature through fuzzification, rule base, and defuzzification stages. The results showed that the calibrator tool with the Mamdani fuzzy logic control system can calibrate a clinical non-contact thermometer with an accuracy of ±0.5°C over a temperature range of 35°C, 39°C, and 42°C. This system proved effective in controlling temperature during the calibration process, achieving the research objective of applying the Mamdani fuzzy logic method in a temperature control system to obtain a stable temperature