Vol 6 No 1 (2022): February 2022

Fuzzy Method Design for IoT-Based Mushroom Greenhouse Controlling

Angga Prasetyo (Universitas Muhammadiyah Ponorogo)
Moh. Bhanu Setyawan (Universitas Muhammadiyah Ponorogo)
Yovi Litanianda (Universitas Muhammadiyah Ponorogo)
Sugianti Sugianti (Universitas Muhammadiyah Ponorogo)
Fauzan Masykur (Universitas Muhammadiyah Ponorogo)

Article Info

Publish Date
11 Feb 2022


The ideal conditions for the oyster mushrooms growth are at a humidity of 65-75% and 29-31C during incubation, while the growth of stems should be at a humidity of 70-90% 29-32C. This ideal ecosystem is maintained by aeration and manual watering. Still, the results are not optimal in preventing damage to the mycelium during the incubation period, resulting in a decrease in crop yields. Automatic control has not created ideal conditions because air temperature and humidity regulation are only based on fans and sprayers that do not directly affect air conditions. Therefore, we need a method to manipulate the mushroom greenhouse space ecosystem, namely fuzzy logic, the application of fuzzy logic integrated with sensors, actuators, and microcontrollers with the Internet of Things to solve this problem. The results of the installation of fuzzy logic in the mushroom's greenhouse in this system can be seen from the fan's modulation response and the pump's duration. The test results of this control feature can manipulate temperature and humidity. Therefore, the oyster mushroom greenhouse produces an ideal state of 29.8C, the humidity of 68.97% RH, and the production has been proven to be optimal with an average daily harvest of 3.8kg.

Copyrights © 2022

Journal Info





Computer Science & IT Decision Sciences, Operations Research & Management


INTENSIF Journal is a publication container for research in various fields related to information systems. These fields includeInformation System, Software Engineering, Data Mining, Data Warehouse, Computer Networking, Artificial Intelligence, e-Bussiness, e-Government, Big Data, Application ...