“…[2] Nitesh and Sharma, proposed a fuzzy inference system using Gaussian membership functions to diagnose the COVID-19 disease considering 6 input factors; Ethanol, Atmospheric Temperature, Body Temperature, Breath Shortness, Cough and Cold and the output factor was divided into three linguistic categories which denotes the severity level of the infected patients. In November 2020, [3] Oluwagbemi etal, applied fuzzy logic and speech technology to develop a fuzzy logic HIV diagnostic system with indigenous multi-lingual interfaces, named Multi-lingual HIV indigenous fuzzy logic-based diagnostic system (MAVSCOT), which can facilitate the diagnosis in underprivileged rural African communities. [4] Yogachi, Nasution and Prakarsa, presented a Fuzzy Logic application using Mamdani Method to predict the number of Covid-19 Positive Cases in West Java.…”