Development of automatic temperature and humidity control system in kumbung (oyster mushroom) using fuzzy logic controller

Agustianto, K and Wardana, R and Destarianto, P and Mulyadi, E and Wiryawan, I G (2021) Development of automatic temperature and humidity control system in kumbung (oyster mushroom) using fuzzy logic controller. IOP Conference Series: Earth and Environmental Science, 672 (1). 012090. ISSN 1755-1307

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National mushroom production in 2018, 2017, 2016 and 2015 amounted to: 31052, 3702, 40915 and 33485 tons. In 2018 the per capita availability is 0.15, this figure needs to be increased as an alternative food solution, this is based on the texture of mushrooms that resembles meat and is delicious, making this plant often become a variety of processed foods such as chips, rendang, satay, shredded, meatballs and supplement. Mushrooms cultivated in Indonesia have high nutritional value and even mushrooms contain 19-35 percent higher protein than rice (7.38 percent) and wheat (13.2 percent). Cultivation of mushrooms, especially oyster mushrooms, has the potential to be developed more widely in Indonesia because it has economic value and is environmentally friendly. However, oyster mushroom cultivation has challenges, especially to produce maximum production in each kumbung. The challenge that arises in oyster mushroom cultivation is that it grows well at temperatures of 16-30 ° C and relative humidity of 80 - 95%. Environmental conditioning is carried out by the average farmer by manually spraying water in the mushroom kumbung. The use of manual methods requires high human resources, apart from that it is not effective and efficient. This study aims to develop a Temperature and Humidity Control System in Kumbung using a Fuzzy Logic Controller. This research uses Fuzzy Proportional-Integral-Derivative (PID) Controller, the sensor data (Temperature and Humidity) will be processed as a sensor array, where to determine the temperature and humidity the system will evaluate the readings of several sensors at once. The system developed is an adaptive system using the Fuzzy method which will suit the environment, the test results show an accuracy rate of 86%, so it is expected that the configuration generated by the tool can be used to increase the precision of mushroom cultivation, so that production efficiency and increased mushroom production can be achieved.

Item Type: Article
Subjects: 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika
Divisions: Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Publikasi
Depositing User: Prawidya Destarianto
Date Deposited: 14 Jul 2022 02:54
Last Modified: 14 Jul 2022 02:54

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