Implementation of Fuzzy Logic in Fish Dryer Design

Abstract

The fish drying process aims to preserve the fish to reduce losses due to the decay process. In hot conditions or through sunlight exposure, the drying process should not be a problem, but if it rains, the fish drying process will take a longer time, and create a smell that disturbs the surrounding environment for a relatively long time. The fish dryer is designed to work automatically, aiming to speed up drying time using fuzzy logic, thereby minimizing spoilage and air pollution due to smell from the fish drying process. The design of the tool uses an experimental method through literature study as a source of analysis, planning, and manufacturing fish dryer using an Arduino Mega 2560, temperature sensor DHT 22, load cell sensor, humidity sensor, fan, heating element, and LCD as well as software with Fuzzy Mamdani method. The results show that the weight of fish that had undergone a drying process using an automatic dryer, which was 500 grams, indicated a drying process of 50% of the initial weight of 1000 grams, with a drying time of 4.48 hours. The previous drying time by manual drying took 45 hours. It shows a control system using fuzzy logic on fish drying equipment, accelerating the drying time about 10 hours faster than sun drying time. It can be concluded that it can increase the amount of dry fish production and reduce odors in the environment around the drying because the fish are in the dryer with a closed condition.