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All Journal CESS (Journal of Computer Engineering, System and Science) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Multitek Indonesia : Jurnal Ilmiah KOMPUTEK Journal of Computer Networks, Architecture and High Performance Computing Jurnal Ilmiah Edutic : Pendidikan dan Informatika Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi)
Yovi Litanianda
Universitas Muhammadiyah Ponorogo
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Transportation

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Journal : INTENSIF

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Fuzzy Method Design for IoT-Based Mushroom Greenhouse Controlling Angga Prasetyo; Moh. Bhanu Setyawan; Yovi Litanianda; Sugianti Sugianti; Fauzan Masykur
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 6 No 1 (2022): February 2022
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (490.632 KB) | DOI: 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.
Co-Authors ., Sugianti Ahmad Yahya Nashikhuddin Aliyadi Aliyadi Andy Triyanto Andy Triyanto Pujo Raharjo Angga Prasetyo Arief Rahman Yusuf Fadelan Fadelan Fauzan Masykur Irfan Khoirul Arifin Jamilah Karaman Moh. Bhanu Setyawan Muhammad Bagus Baihaqi Prasetyo, Angga Sumaji Sumaji Taufiq Abidin Windi Eka Triatma