Temperature and Humidity Control System Using Fuzzy Logic In Baby Incubator (Humidity Control)

Abstract

Baby incubators help to monitor different aspects of the baby's environment, which are used to make the baby's condition similar to the ideal conditions inside the mother's womb. The normal temperature limit in the baby incubator is maintained around 33°C to 35°C.  In addition, to help stabilize the baby's body temperature, humidity also needs to be maintained, which is relatively 40% to 60%.  Fuzzy logic control also called Fuzzy Inference System / FIS is a control system that uses the concept of fuzzy set theory. When FIS is used as a controller, the required output is sharp (firm). Fuzzy logic control consists of fuzzification, database, rule base, and defuzzification. This incubator planning uses a DHT11 sensor as a humidity sensor and uses a steeper motor as an airflow open-close to maintain ideal humidity which is processed using a Mega 2560 microcontroller using fuzzy logic control. so it will generate a value and be displayed using Nextion TFT. The test was carried out by comparing the module with a standard measuring instrument, namely Incuanalizer. In this study, when setting the temperature 32⁰C had the highest humidity error of 7.8%, when setting the temperature 35⁰C had the highest humidity error of 2.12%, while when setting the temperature 32⁰C had the highest humidity error of 1.81%.