Temperature Control in Coffee Bean Dryer Using Fuzzy Logic Control with Multiple Input and Multiple Output

Digital transformation brings many conveniences to society, especially in the field of agricultural technology. One implementation of the use of digital transformation in agricultural technology is the creation of an automatic coffee bean dryer. This study aims to improve the quality of coffee bean drying by using a coffee bean dryer that is regulated using a temperature control system based on Fuzzy Logic Control (FLC). The main focus of this study is temperature regulation with a setpoint of 60 ℃ to achieve a coffee bean moisture content of less than 12.5%, according to international export standards. The control system used is Multiple Input Multiple Output (MIMO) using FLC, which provides valve values and rotary dryer speeds based on the actual temperature read. With this control, two inputs are needed, namely temperature error and temperature delta error, and will produce two outputs in the form of gas stove valve settings and blower speed. The study results show that this coffee bean dryer system can maintain a stable temperature with a very small error. The highest temperature above the setpoint is only 0.45 ℃ (0.75%), and the lowest temperature below the setpoint is only 0.2 ℃ (0.33%). The addition of blower settings has proven effective in maintaining temperature stability during the drying process, so it is expected to improve the quality of the coffee beans produced.