ANALYSIS OF THE USE OF TEMPERATURE AND HUMIDITY SENSORS FOR ARDUINO-BASED GREENHOUSE ENVIRONMENT MONITORING

  • Kurnia Paranita Kartika Rianti Universitas Islam Balitar
  • Yogi Prastyo Universitas Islam Balitar
Abstract views: 679 , PDF downloads: 1472
Keywords: Greenhouse, DHT 11 sensor, YL 69 Sensor, Arduino UNO

Abstract

Green House is a construction building that functions to manipulate environmental conditions to create the desired environmental conditions in order to optimize plant maintenance, environmental conditioning carried out in the greenhouse includes temperature and humidity regulation, soil temperature and humidity regulation and good watering. The problem that occurs is the uneven distribution of air and soil temperature and humidity in all greenhouse areas which will ultimately affect plant growth in that area. This can be overcome by adding smart devices to the greenhouse. Analysis of temperature and humidity in the greenhouse aims to maximize the microclimate for plant growth. The analysis was carried out by measuring the conditions of temperature, air humidity and soil moisture without using automatic environmental temperature and humidity control devices. Then an analysis of environmental conditions is carried out by adding sensors and adding sprayers and fans connected to sensors measuring soil and air temperature and humidity. In this study used temperature and humidity sensors air DHT11, soil moisture sensor YL 69. The sensor is connected to the Arduino UNO microcontroller to carry out commands to the sprayer and fan. Before designing an automation system, an analysis is carried out on the range of fans and sprayers used. From the analysis carried out, the greenhouse area is divided into 8 measurement lines. Based on the research that has been done, it can be concluded that by using automatic temperature and humidity control devices for air and soil, the distribution of temperature and humidity becomes more pronounced, the resulting microclimate can support plant growth. Before the automation, the distribution of the greenhouse microclimate was not evenly distributed at every point and every time, whereas after the automation, the distribution became even. Optimization can be done even better if you pay attention to the needs of plants based on the type of plant being cultivated.

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References

O. Melo, "Komputerisasi Smart Greenhouse untuk Budidaya Tanaman Bunga Krisan," p. 18, 2012.

M. Munir, "Rancangan smart greenhouse dengan teknologi mobile untuk efisiensi tenaga, biaya, dan waktu dalam pengelolaan tanaman," UNS Surakarta, Surakarta, 2016.

P. Al-Humairi, "A Smart Automated Greenhouse: Soil Moisture, Temperature Monitoring and Automatic Water Supply System (Peaty, Loam and Silty)," in IEEE Conference on Sustainable Utilization and Development in Enginering and Technologies, 2019.

P. Telaumbanua, "Rancang bangun aktuator pengendali iklim mikro di dalam greenhouse untuk pertumbuhan tanaman sawi," UNG, Gorontalo, 2014.

Q. Gupta, "Multi-sensor integrated system for wireless monitoring of greenhouse environment," in IEEE Sensors Application Simposium (SAS), 2018.

Diansari, "Pengaturan suhu, kelembaban, waktu pemberian nutrisi dan waktu pembuangan air untuk pola cocok tanam hidroponik berbasis mikrokontroler AVR ATMega 8535," 2008.

A. Sari, "Analisis Distribusi Suhu dalam Bangunan Greenhouse Tunnel Berventilasi Ganda," Binus, Bogor, 2008.

Inayah, "Analisis Lingkungan Dalam Bangunan Greenhouse Tipe Tunnel yang Telah Dimodifikasi di PT. Alam Indah Bunga Nusantara, Cipanas, Cianjur," Cianjur, 2007.

W. Ambarwati, "Design and Prototype Development of Internet of Things for Greenhouse Monitoring System," in International Seminar on Research of Informaton Technology and Intelligent System, 2020.

B. &. Calvin, "Indoor Plants," New York, 1987.

Y. A. Amelia, "Perancangan sistem monitoring suhu, kelembaban dan titik embun udara secara realtime menggunakan mkrokontroler arduino dengan logika fuzzy yang dapat diakses melalui internet.," 2013.

I. Wijaya, "Auto Tuning PID berbasis metode Ziegles-Nichlos menggunakan Mikrokontroler AT89552 pada Pengendali Suhu," 2010.

L. Hui, "Greenhouse CFD Simulation for Searching the Sensor Optimal Placemnet.," 2002.

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Published
2022-11-24
How to Cite
[1]
K. P. K. Rianti and Y. Prastyo, “ANALYSIS OF THE USE OF TEMPERATURE AND HUMIDITY SENSORS FOR ARDUINO-BASED GREENHOUSE ENVIRONMENT MONITORING”, antivirus, vol. 16, no. 2, pp. 200-210, Nov. 2022.