Implementation of LoRaWAN on Energy Monitoring System on the Onion Leaf Pest Light Trap device English

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Published Jul 29, 2024
DOI https://doi.org/10.20895/jtece.v6i2.1370

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I Ketut Agung Enriko
Institut Teknologi Telkom Purwokerto
Kuswanda Kuswanda
Institut Teknologi Telkom Purwokerto
Danny Kurnianto
Institut Teknologi Telkom Purwokerto
Fikri Nizar Gustiyana
Telkom University

Abstract

Shallot cultivation is a significant livelihood for farmers due to the high selling value of the harvest. However, most farmers still control shallot pests by excessively spraying pesticides, leading to concerns about excess residue on the plants. Physical control methods, such as installing light traps on plantations, have been attempted, but their manual operation is inefficient for farmers' working time and prone to wasting electrical energy due to negligence. In this research, the light trap will be optimized by implementing an automatic light monitoring and control system, allowing farmers to estimate the cost of electricity used and adjust usage according to their needs. The LYNX32 BOARD LoRa plays an important role as a data processor, connected to the LDR sensor to enable automatic light activation, and the PZEM-004T sensor to monitor the voltage and current of the light trap, transmitting this data via LoRa communication. In this research, automatic control operates based on the light intensity, and LoRa can transmit data up to a distance of 250 meters under line-of-sight (LOS) conditions. The PZEM-004T sensor has good accuracy for voltage, with an error of 0.08%, while the error percentage for current and power is 13.26% and 5%, respectively.

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How to Cite
Enriko, I. K., Kuswanda, K., Kurnianto, D., & Gustiyana, F. (2024). Implementation of LoRaWAN on Energy Monitoring System on the Onion Leaf Pest Light Trap device. Journal of Telecommunication Electronics and Control Engineering (JTECE), 6(2), 109-116. https://doi.org/10.20895/jtece.v6i2.1370
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Vol 6 No 2 (2024): Journal of Telecommunication, Electronics, and Control Engineering (JTECE)
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Articles
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References

[1] V. Valentino and A. R. Thaha, “Pengendalian Hama Spodoptera Exigua Hubner. Pada Tanaman Bawang Merah Varietas Lembah Palu Dengan Penggunaan Pupuk Dan Mulsa,” Agrol. J. Ilmu-ilmu Pertan., vol. 26, no. 2, p. 86, 2019, doi: 10.22487/j.24077607.2019.v26.i2.13057.
[2] A. Rahim, P. MK, and E. Soci, “Pengaruh Penggunaan Lampu LED sebagai Perangkap Hama terhadap Pendapatan Petani Bawang Merah Desa Kolai Kecamatan Malua Kabupaten Enrekang,” J. Daun, vol. 9, no. 2, pp. 119–128, 2022.
[3] D. Muhammad and J. Sardi, “Rancang Bangun Sistem Monitoring Penggunaan Daya Listrik Berbasis Internet of Things,” J J. Tek. Elektro Indones., vol. 3, no. 2, p. 458, 2022, doi: 10.22373/crc.v6i1.10862.
[4] F. Gustiyana, M. Amanaf, and D. Kurnianto, “Implementasi Protokol LoRaWan Pada Perangkat Monitoring Kelembapan Tanah Pertanian,” Conf. Electr. Eng. Telemat. Ind. Technol. Creat. Media, vol. 2, no. 1, pp. 209–214, 2019.
[5] A. F. Zulkarnain, E. S. Wijaya, and N. F. Mustamin, “Penerapan Teknologi Smart Farming Berbasis Internet of Things Bagi Masyarakat Petani Jeruk Siam,” Batara Wisnu Indones. J. Community Serv., vol. 2, no. 1, pp. 50–59, 2022, doi: 10.53363/bw.v2i1.47.
[6] S. Dwiyatno, E. Krisnaningsih, D. Ryan Hidayat, and Sulistiyono, “Smart Agriculture Monitoring Penyiraman Tanaman Berbasis Internet of Things,” PROSISKO J. Pengemb. Ris. dan Obs. Sist. Komput., vol. 9, no. 1, pp. 38–43, 2022, doi: 10.30656/prosisko.v9i1.4669.
[7] A. E. I Ketut, M. A. Afandi, H. Pujiharsono, F. N. Gustiyana, H. Krishna, and F. H. Juwono, “Implementation and Analysis of the Internet of Things System for Electrical Energy Monitoring At Institut Teknologi Telkom Purwokerto,” J. Tek. Inform., vol. 4, no. 3, pp. 627–638, 2023, doi: 10.52436/1.jutif.2023.4.3.1027.
[8] H. Triwidodo and M. H. Tanjung, “Hama Penyakit Utama Tanaman Bawang Merah (Allium Ascalonicum) dan Tindakan Pengendalian di Brebes, Jawa Tengah,” Agrovigor J. Agroekoteknologi, vol. 13, no. 2, pp. 149–154, 2020, doi: 10.21107/agrovigor.v13i2.7131.
[9] S. Baco, N. Alamsyah, T. Anwar, and A. Salman, “Perancangan Lampu Otomatis Untuk Petani Bawang Merah,” in Proseding SNASIKOM, 2022, vol. 2, no. 1, pp. 105–113.
[10] M. Distya Rizky, S. Farrah Sahita, and I. Dwisaputra, “Sistem Kontrol Dan Monitoring Energi Lampu Pintar Menggunakan Aplikasi Berbasis Internet of Things,” in Prosiding Seminar Nasional Inovasi Teknologi Terapan, 2022, pp. 13–18.
[11] D. S. Putra, N. B. A. K, and R. Mayasari, “Rancang Bangun Smart Lighting Dan Monitoring Kondisi Lampu Jalan Berbasis Wireless Sensor Network Menggunakan Lora Design of Smart Lighting and Monitoring Condition of Road Lights Based on Wireless Sensor Network Using Lora,” Proceeding Eng., vol. 6, no. 2, pp. 4748–4755, 2019.
[12] F. N. Gustiyana, M. A. Amanaf, and D. Kurnianto, “Quality of Service Comparison of LOS and NLOS Propagation in a LoRaWAN-Based Remote Monitoring System,” J. Nas. Tek. Elektro, vol. 10, no. 2, 2021, doi: 10.25077/jnte.v10n2.781.2021.
[13] M. E. Yüksel, “Power consumption analysis of a Wi-Fi-based IoT device,” Electrica, vol. 20, no. 1, pp. 62–70, 2020, doi: 10.5152/ELECTRICA.2020.19081.
[14] M. I. Hossain and J. I. Markendahl, “Comparison of LPWAN Technologies: Cost Structure and Scalability,” Wirel. Pers. Commun., vol. 121, no. 1, pp. 887–903, 2021, doi: 10.1007/s11277-021-08664-0.