Open AccessIoT-Based Monitoring and Design of Automatic Fish Drying Equipment Using Fuzzy Logic
Author(s) -
Yohanes Alvinika,
Djoko Budiyanto Setyohadi,
Margaretha Sulistyoningsih
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/704/1/012042
Subject(s) - fish <actinopterygii> , microcontroller , fuzzy logic , internet of things , process engineering , process (computing) , humidity , relative humidity , thermometer , computer science , fuzzy control system , environmental science , temperature control , real time computing , control engineering , embedded system , engineering , meteorology , artificial intelligence , fishery , geography , physics , quantum mechanics , biology , operating system
Fish is a food source that is widely consumed by Indonesians and overseas. Fish is widely liked because fish provides many health benefits. The problem that is often faced is the drying process of fish, so far the traditional manual drying of fish takes a long time, if the drying process uses sunlight, the drying can take a long time between 4-7 days until the water content reaches 10%. One method of dealing with the problem is the design of IoT-based monitoring and the design of an automatic fish drying device using Fuzzy Logic. The temperature and humidity control system in fish dryers to describe the problem of controlling changes in temperature and humidity that fluctuate throughout the day as happened during the transition period. To realize the fuzzy logic on automatic temperature and humidity control in fish dryers, a sensor is needed as the system input in the form of a DHT22 sensor, and a NodeMCU microcontroller is also needed to implement the fuzzy system into a programming language that can be accepted by hardware in the form of a heating element. Internet of Thing (IoT) based fish dryer monitoring system to control temperature and humidity, weather, on fish dryer using a smartphone. From the experiments carried out on system testing by comparing with the thermometer, the relative error rate of the temperature system is 1.62% and the humidity is 1.96% which indicates the system is successful according to the design.