Performance of Data Transmission using LoRa Module in Smart Plantation Watering Systems

Suratun Nafisah; Willy Rachman; Nurfaisal Asrafi; Ayu Sholeha; Japar Sodik; Uri Arta Ramadhani; Zunanik Mufidah; Winda Yulita

doi:10.55927/mudima.v3i11.6924

Authors

Suratun Nafisah Electrical Engineering, Institut Teknologi Sumatera, Lampung
Willy Rachman Electrical Engineering, Institut Teknologi Sumatera, Lampung
Nurfaisal Asrafi Electrical Engineering, Institut Teknologi Sumatera, Lampung
Ayu Sholeha Electrical Engineering, Institut Teknologi Sumatera, Lampung
Japar Sodik Electrical Engineering, Institut Teknologi Sumatera, Lampung
Uri Arta Ramadhani Electrical Engineering, Institut Teknologi Sumatera, Lampung
Zunanik Mufidah Biosystems Engineering, Institut Teknologi Sumatera, Lampung
Winda Yulita Informatics Engineering, Institut Teknologi Sumatera, Lampung

DOI:

https://doi.org/10.55927/mudima.v3i11.6924

Keywords:

Long Range (LoRa), Smart Watering Systems, Data Transmission

Abstract

Indonesia has a very large plantation area and is the main sector to support the community's economy. Generally, not all of the harvests obtained are good, so farmers experience losses. This condition is influenced by several factors such as plant needs that are not being met, which is why the Smart Watering System for Plantation (SWAP) is presented. SWAP is an automatic plant watering tool designed for the plantation sector by implementing a data transmission system using LoRa (Long Range) and NodeMCU ESP 8266 as a microprocessor. This research aims to determine and test data transmission performance using LoRa (Long Range). The aspects tested were testing the data transmission configuration using LoRa and delay testing in the plantation 1 and plantation 2 areas. The results shows that the plantation 2 has a better performance in terms of delay with 280,97 ms than plantation 1 that needs 322,53 ms to transmit the data

References

Agung, I. G., & Rahardjo, P. (2017). Rancang Bangun Sistem Pembacaan Jumlah Konsumsi Air Pelanggan PDAM Berbasis Mikrokontroler ATMEGA328 Dilengkapi SMS. Majalah Ilmiah Teknologi Elektro, 16(1), 31-40.

Arifin, I., Baqaruzi, S., & Zoro, R. (2021). Analisis Sistem Kendali Dua Posisi pada Solenoid Valve untuk Produk Biogas Control and Monitoring (Common-Bigot) From Animal Waste. Journal of Vocational Mechanical Engineering, 16(32), 47-57.

Azzaky, N., & Widiantoro, A. (2020). Alat Penyiram Otomatis Berbasis Arduino Menggunakan Internet of Things (IoT). Jurnal Eltrik, 8(3), 87.

Dhruva, A. D., Prasad, B., & et al. (2023). An efficient mechanism using IoT and wireless communication for smart farming. Materials Today: Proceedings, (pp. 3691-3696).

El-Ghamry, A., Darwish, A., & et al. (2023). An optimized CNN-based intrusion detection system for reducing risks in smart farming. Internet of Things.

Erwanto, D., K., D. A., & Sugiarto, T. (2020). Sistem Pemantauan Arus dan Tegangan Panel Surya Berbasis Internet of Things. Multitek Indonesia, 14(1), 1. doi:10.24269/mtkind.v14i1.2195

Hidayat, M. A., & Amrullah, A. Z. (2022). Sistem Kontrol dan Monitoring Tanaman Hidroponik Berbasis Internet of Things (IoT) Menggunakan NodeMCU ESP 8266. Jurnal SAINTEKOM, 12(1), 25.

Li, D., Nanseki, T., & et al. (2023). A review of smart agriculture and production practices in Japanese large-scale rice farming. Journal of the Science of Food and Agriculture, 1609-1620.

Pambudi, A. S., Andryana, S., & Gunaryati, A. (2020). Rancang Bangun Penyiraman Tanaman Pintar Menggunakan Smartphone dan Mikrokontroler Arduino Berbasis Internet of Things. Jurnal Media Informatika Budidarma, 4(2), 250.

Puspasari, F., Satya, T. P., Oktiawati, U. Y., Fahrurrozi, I., & Prisyanti, H. (n.d.). Analisis Akurasi Sistem Sensor DHT22 berbasis Arduino terhadap Thermohygrometer Standar. J. Fis. dan Apl, 16(1), 40. doi:10.12962/j24604682.v16i1.5776.

Puspitasari, F., Fahrurrozi, I., Satya, T. P., Setyawan, G., Fauzan, M. R., & Admoko, E. M. (2019). Sensor Ultrasonik HCSR04 Berbasis Arduino Due Untuk Sistem Monitoring Ketinggian. Jurnal Fisika dan Aplikasinya, 15(2), 36. doi:10.12962/j24604682.v15i2.4393

Putri, A. R., Suroso, & Nasron. (2019). Perancangan Alat Penyiram Tanaman Otomatis pada Miniatur Greenhouse Berbasis IOT. Prosiding SENIATI, 155.

Rezk, N., Hemdan, E., & et al. (2021). An efficient IoT based smart farming system using machine learning algorithms. Multimed Tools Appl , 773–797.

Risanty, R. D., & Arianto, L. (2017). Rancang Bangun Sistem Pengendalian Listrik Ruangan Dengan Menggunakan AtMega 328 dan SMS Gateway Sebagai Media Informasi. Jurnal Sistem Informasi, Teknologi Informasi dan Komputer, 7(2), 1-10.

S. Y. Tyasmoro, P. N., & Saitama, A. (2021). Teknologi Produksi Tanaman Perkebunan. Malang: UB Press.

Samsugi, S., Ardiansyah, & Kastutara, D. (2018). Internet of Things (IoT): Sistem Kendali Jarak Jauh Berbasis Arduino dan Modul WiFi ESP8266. Prosiding Seminar Nasional XII Rekayasa Teknologi Industri Informasi, 295-303.

Saranya, T., Deisy, C., & et al. (2023). A comparative study of deep learning and Internet of Things for Precision Agriculture. Engineering Applications of Artificial Intelligence.

Suryatini, F., Maimunah, & Fachri, I. F. (2018). Sistem Akuisisi Data Suhu dan Kelembaban Tanah pada Irigasi Tetes Otomatis Berbasis Internet of Things. Prosiding Seminar Nasional Sains dan Teknologi, 1-6. Retrieved from https://jurnal.umj.ac.id/index.php/semnastek/article/view/3479

Wahyudi, T., Marpaung, J., Tjahjamooniarsih, N., Yacoub, R. R., Pontia, F. T., & Imansyah, F. (2022). Pengujian Performansi Modul Radio Transceiver RFM95W Menggunakan Sistem Komunikasi Bergerak Dengan Beberapa Pola Secara Real Time pada Area Perairan/Sungai di Kota Pontianak. Journal of Electrical Engineering, Energy, and Information Technology, 10(1). doi:http://dx.doi.org/10.26418/j3eit.v10i1.52519