Elinvo (Electronics, Informatics, and Vocational Education)


Oyster Mushrooms, Temperature, Humidity, Internet of Things (IoT)

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This study aims to determine the performance of temperature and humidity control technology of the Internet of Things (IoT) automatic oyster mushroom cultivation space. The stages of device development consist of analysis, design, assembly and testing. The design developed combines hardware control, software, and cloud server. This tool consists of 3 main processes, namely input using DHT11 sensors, process and output, namely 220 V AC actuators. There are two tests namely technical and effectiveness. The test results that have been carried out are: (1) the performance test results obtained an average error of 1.44% and a mean humidity of 3.35%, so that it can be used properly in the process of oyster mushroom cultivation; (2) the actuator will turn on if the temperature is more than 28oC or the humidity is less than 70%. The results of the transmission and storage of hardware data to the software on the database function properly, testing the effectiveness which shows the tools developed are more effective 5 hours compared to the manual method, (3) The advantages of this tool are that it can work automatically with IoT technology, there is realtime data recording, and features that are easy to use, so that it can help farmers in the care of oyster mushrooms.

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Yuliawati, Pasti Untung dari Budidaya Jamur. Jakarta: PT Agromedia Pustaka, 2016.

S. Fama, “Peluang Ekspor Usaha Tani Jamur yang Menjamur,” Monitor, 2018. [Online]. Available: https://monitor.co.id/2018/12/04/peluang-ekspor-usaha-tani-jamur-yang-menjamur/.

Agrina, Budidaya Jamur Tiram.Jakarta: Penebar Swadaya, 2009.

E. Suharjo, Budidaya Jamur Tiram Media Kardus. Jakarta: Agro Media Pustaka, 2015.

N. Widyastuti, I. Sukarti, R. Giarni, and D. Tjokrokusumo, “Studi awal potensi jamur tiram (Pleurotus ostreatus) sebagai imunomodulator dengan sampel sel limfosit,” in Prosiding Seminar Nasional Masyarakat Biodiversitas Indonesia (Pros Sem Nas Masy Biodiv Indon), 2015, pp. 1528–1531.

W. Wahlster, “Industrie 4.0: Cyber-Physical Production Systems for Mass Customization,” German-Czech Workshop on Industrie4.0/Průmysl4.0, 2016. [Online]. Available: http://www.dfki.de/wwdata/German-Czech_Workshop_on_Industrie_4.0_Prague_11_04_16/Industrie_4_0_Cyber-Physical_Production_Systems_for_Mass_Customizations.pdf. [Accessed: 01-Apr-2018].

R. S. Pressman, Software Engineering: a practitioner’s approach. New York: McGraw-Hill, 2010.