Thermowatch and Disease Potentcy Prediction Using Arduino Uno and Fuzzy-Tsukamoto Logic

Abstract

Human body has normal condition which signed by the normal body temperature which is 36.5–37.8 °C. It means that if the body has lower or higher temperature, the body has abnormal condition or disease potencies. In the mean time, in this pandemic era the use of body temperature is important to predict the COVID-19 disease. Otherwise, there are several diseases that can be predict based on body temperature such as Dengue Fever and Malaria. Base on that statement, this thesis has purpose to create the wearable device as watch that can measure the body temperature and predict the disease potency based on symptoms of a person suffers. This thesis implements Fuzzy-Tsukamoto Logic methodology. This thesis using Arduino as the environment. By using Arduino Uno’s censor, the device can measure the body temperature. After that, the user will be asked with symptoms of the diseases (Dengue Fever, Malaria and COVID-19) based on the health journal and the user answer absolutely no, maybe no, maybe no maybe yes, maybe yes, absolutely yes. The offered answers will be translated into a number 0, 25, 50, 75, 100. Then the system will calculate with Fuzzy- Tsukamoto Logic methodology. The last, the application will send the SMS notification about the result and the first aid how to handle the diseases.