RANCANG BANGUN ALAT PENGERING IKAN ASIN BERBASIS TENAGA SURYA DENGAN MENGGUNAKAN METODE INTERNET OF THINGS

Abstract

Fish drying is a traditional method of preserving fish in coastal areas that have limited access to modern cooling and preservation technology. Along with the development, this technology is equipped with an Internet of Things (IoT) based controller. This process aims to reduce the water content in fish, so that it can extend the shelf life and increase its selling value by utilizing solar energy generated by solar panels. This automatic fish drying system is able to dry fish without being affected by the weather. The heating element and fan function as the main heat source at night, while sunlight is the source of electricity stored in the battery. This system can regulate the temperature of the drying room between 30°C to 55°C, the drying capacity of fish is up to 5 kg for medium-sized fish. In this research trial, data from the DHT 11 sensor (which detects temperature) was used to monitor the temperature, which ranged from 33°C to 49°C with a certain percentage of error. At a temperature of 48°C to 52°C, fish can be dried in 18 hours. Dried fish can be detected through the Load Cell sensor which detects the weight of the fish during the drying process. From this research, this automatic salted fish dryer has good performance in drying fish during the rainy season, where the dryer can control the air temperature accurately, thus producing good quality dried fish.