Implementation of Fuzzy Logic in Soil Moisture and Temperature Control System for Araceae Plants Based on LoRa
Abstract
The Araceae plants are highly popular among plant enthusiasts worldwide. The Araceae family has more than 100 different types and thousands of species. Despite ever-evolving times, these plants have a high market value and challenging breeding methods. To achieve optimal quality, it is important to maintain the appropriate humidity and temperature according to the natural conditions of these plants in the tropical rainforest. The Node MCU ESP32 is a processor for instructions from the room temperature sensor, room humidity sensor, and soil moisture sensor. Additionally, this component controls the blower and misting system as output, which will be processed through LoRa technology to transmit monitoring data to the Blynk software. This study utilizes fuzzy logic to categorize room temperature, humidity, soil moisture, and output results for different Araceae plants. LoRa technology is used to send monitoring data efficiently in the data transmission process. During data retrieval using long-range technology, a delay of approximately 5 seconds is known between the receiver and transmitter at a distance of 700 meters. Constraints that cause issues with this long-range technology are influenced by wind, which affects antenna signal strength, and the presence of trees and buildings as obstacles. The monitoring results show an average temperature in normal conditions and an average humidity in wet conditions. At the same time, soil moisture is monitored to maintain normal humidity, resulting in all outputs being off.
Keywords
Full Text:
PDFReferences
M. A. Hutasuhut, “Inventarisasi Jenis-Jenis Arecaceae Di Kawasan Hutan Taman Nasional Gunung Leuser Desa Telagah Kabupaten Langkat Sumatera Utara,” KLOROFIL J. Ilmu Biol. dan Terap., vol. 2, no. 2, p. 1, 2020, doi: 10.30821/kfl:jibt.v2i2.7823.
L. Qodriyah, B. F. Wahidah, S. Hidayat, and R. Khasanah, “Karakterisasi Stomata Daun Pada Tanaman Hias Familia Araceae,” Pros. Biol. Achiev. Sustain. Dev. Goals with Biodivers. Confronting Clim. Chang., no. November, pp. 242–254, 2021, [Online]. Available: http://journal.uin-alauddin.ac.id/index.php/psb.
M. M. Fahmi, Struktur Komunitas Fauna Tanah Berbeda Di Taman Safari Indonesia II prigen jawa timur, vol. Surabaya. 2016.
A. M. Siregar, H. Febriani, and M. A. Hutasuhut, “Analisis Biodiversitas Jenis-Jenis Tumbuhan Liana Di Taman Nasional Batang Gadis Resort 7 Sopotinjak Kabupaten Mandailing Natal Sumatera Utara,” KLOROFIL J. Ilmu Biol. dan Terap., vol. 5, no. 2, p. 83, 2021, doi: 10.30821/kfl:jibt.v5i2.9403.
M. Setiani Asih, “Sistem Pendukung Keputusan Fuzzy Mamdani pada Alat Penyiraman Tanaman Otomatis,” J. Sist. Inf., vol. 5341, no. April, p. 1, 2018.
J. Agustina, R. Arifah, A. Yuliyati, and Dkk, Sistem Greenhouse di Iklim Tropis dan Subtropis. 2022.
J. Beyerer, G. Bretthauer, and T. Längle, “Smart agriculture,” At-Automatisierungstechnik, vol. 69, no. 4, pp. 275–277, 2021, doi: 10.1515/auto-2021-2049.
A. Syarief, Teuku. Handayani, Hanny. dan juwita, “Rancang Bangun Penyiram Tanaman Aglaonema Otomatis Menggunakan Sensor Kelembaban Tanah dan Suhu Udara dengan Metode Fuzzy Logic Berbasis IoT,” Sci. student J. information, Technol. Sci., vol. vol.3 no.2, 2022, [Online]. Available: http://journal.ubpkarawang.ac.id/mahasiswa/index.php/ssj/article/view/438.
J. Gresl, S. Fazackerley, and R. Lawrence, “Practical precision agriculture with LoRa based wireless sensor networks,” SENSORNETS 2021 - Proc. 10th Int. Conf. Sens. Networks, no. Sensornets, pp. 131–140, 2021, doi: 10.5220/0010394401310140.
W. Paramita, Yulianty, B. Irawan, and Suratman, “Diversity of Herbaceous Plant in The Utilization Block of Sumber,” Ilm. Biol. dan Keanekaragaman Hayati, vol. 6, no. 2, pp. 31–40, 2019.
H. Nasution, “Implementasi Logika Fuzzy pada Sistem Kecerdasan Buatan,” ELKHA J. Tek. Elektro, vol. 4, no. 2, pp. 4–8, 2020, [Online]. Available: https://jurnal.untan.ac.id/index.php/Elkha/article/view/512%0Ahttp://download.garuda.kemdikbud.go.id/article.php?article=1559615&val=2337&title=Implementasi Logika Fuzzy pada Sistem Kecerdasan Buatan.
M. Arrofiq, “Implementasi Analisis NIDS Berbasis Snort Dengan Metode Fuzy Untuk Mengatasi Serangan LoRaWAN,” J. RESTI (Rekayasa Sist. Dan Teknol. Informasi), vol. 2, no. 3, pp. 685–696, 2018.
A. Augustin, J. Yi, T. Clausen, and W. M. Townsley, “A study of LoRa: Long range & low power networks for the internet of things,” Sensors, vol. 16, no. 9, p. 1466, 2016.
L. S. Vaz and L. P. S. Neto, “Developing the altitude and communication subsystem using COTS components applied to the Tycho CubeSat,” no. Restivo, 2019.
O. Nurdiawan, I. Ali, C. L. Rohmat, and A. R. Rinaldi, “Sistem Kendali Sensor Tanah Sebagai Pemonitor Tingkat Kelembaban Media Tanam Padi,” InfoTekJar J. Nas. Inform. dan Teknol. Jar., vol. 5, no. 1, pp. 14–17, 2020.
A. R. Wijaya and Z. Lutfiyani, “Rancang Bangun Prototype Kendali Motor Pompa Tendon Air Dengan Automatic Transfer Switch (ATS) PLTS Dan PLN,” JTERAF (Jurnal Tek. Elektro Raflesia), vol. 1, no. 2, pp. 1–7, 2021
DOI: https://doi.org/10.33387/protk.v10i3.6390
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
| Journal Policies | Submissions | People | Information |
Editorial Office :
Address: Jusuf Abdulrahman 53 Gambesi, Ternate City, Indonesia.
Email: protek@unkhair.ac.id, WhatsApp: +6282292852552