Fuzzy Method Design for IoT-Based Mushroom Greenhouse Controlling
Open Access
- 11 February 2022
- journal article
- Published by Universitas Nusantara PGRI Kediri in INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi
- Vol. 6 (1), 81-91
- https://doi.org/10.29407/intensif.v6i1.16786
Abstract
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.Keywords
This publication has 14 references indexed in Scilit:
- SISTEM PEMANTAUAN DAN PENGENDALIAN RUMAH JAMUR DENGAN METODE FUZZY SECARA WIRELESSSimetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2020
- Pengendalian Suhu dan Kelembaban pada Budidaya Jamur Tiram Berbasis IoTJurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering), 2020
- Integrated Device Electronic Untuk Sistem Irigasi Tetes Dengan Kendali Internet of ThingsJurnal Ilmiah Teknologi Informasi Asia, 2019
- Egg Quality Detection System Using Fuzzy Logic MethodKINETIK, 2019
- Perancangan dan Implementasi Fuzzy Inference System (FIS) Metode Tsukamoto pada Penentuan Penghuni AsramaJurnal Teknologi Informasi dan Ilmu Komputer, 2019
- Kendali Logika Fuzzy pada Sistem Electronic Control Unit (ECU) Air Conditioner MobilJurnal Teknologi Informasi dan Ilmu Komputer, 2019
- Perancangan Sistem Kontrol Suhu Dan Kelembaban Pada Ruangan Budidaya Jamur Tiram Berbasis IoTMULTITEK INDONESIA, 2018
- Automatic temperature and humidity control system by using Fuzzy Logic algorithm for mushroom nurseryPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Implementasi Neural Fuzzy Inference System dan Algoritma Pelatihan Levenberg-Marquardt untuk Prediksi Curah HujanIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2016
- A Simulation Model for the Spiral Software Development Life CycleInternational Journal of Innovative Research in Computer and Communication Engineering, 2015