SISTEM PEMANTAUAN PERGERAKAN GAJAH BERBASIS GEOFENCE MENGGUNAKAN TEKNOLOGI LORA
DOI:
https://doi.org/10.26623/elektrika.v18i1.14011Keywords:
LoRa, Geofence, GPS, MQTTAbstract
This research aims to develop an elephant movement monitoring system capable of transmitting data from a gateway to a server using the MQTT protocol and displaying information in real time via a web-based dashboard. This system is designed to support remote monitoring with low latency and a wide communication range. Test results show that the average data transmission time from the gateway to the server via the MQTT protocol is 1.44 ms, while the average notification delivery time to the user is 0.89 seconds. The system is capable of operating up to 1 km with an RSSI value of -105 dB, indicating stable communication at that distance. In addition, the developed dashboard was successfully deployed online, allowing users to monitor sensor data and device status in real time through an interactive and easy-to-use interface. The results of this study indicate that the developed system has efficient communication performance, low latency, and ease of monitoring, making it potentially applicable to various IoT applications based on remote monitoring.
Keywords: LoRa, Geofence, GPS, MQTT
ABSTRAK
Penelitian ini bertujuan untuk mengembangkan sistem pemantauan pergerakan gajah yang mampu mengirimkan data dari gateway ke server menggunakan protokol MQTT, serta menampilkan informasi secara real-time melalui dashboard berbasis web. Sistem ini dirancang untuk mendukung proses pemantauan jarak jauh dengan latensi rendah dan jangkauan komunikasi yang luas. Hasil pengujian menunjukkan bahwa rata-rata waktu pengiriman data dari gateway ke server melalui protokol MQTT adalah 1.44 ms, sedangkan rata-rata waktu pengiriman notifikasi ke pengguna adalah 0.89 detik. Sistem mampu beroperasi hingga 1 km dengan nilai RSSI sebesar -105 dB, yang menandakan komunikasi masih stabil pada jarak tersebut. Selain itu, dashboard yang dikembangkan berhasil dideploy secara online, memungkinkan pengguna untuk memantau data sensor dan status perangkat secara real-time melalui antarmuka yang interaktif dan mudah digunakan. Hasil penelitian ini menunjukkan bahwa sistem yang dikembangkan memiliki kinerja komunikasi yang efisien, latensi rendah, dan kemudahan pemantauan, sehingga berpotensi diterapkan pada berbagai aplikasi IoT berbasis pemantauan jarak jauh.
References
[1] R. D. Rahayani, A. Gunawan, dan A. U. Ariwibowo, “Implementation of Radio Frequency as Elephant Pres-ence Detector for the Human Elephant Conflict Preven-tion,” 2014.
[2] F. Zhao dkk., “Monitoring of human activities around the Asian elephant reserve based on NPP-VIIRS night light remote sensing images: A case study in Xishuangbanna, China,” Front. Ecol. Evol., vol. 11, hal. 1088722, Apr. 2023, doi: 10.3389/fevo.2023.1088722.
[3] L. Brickson, L. Zhang, F. Vollrath, I. Douglas-Hamilton, dan A. J. Titus, “Elephants and algorithms: a review of the current and future role of AI in elephant monitoring,” J. R. Soc. Interface, vol. 20, no. 208, hal. 20230367, Nov. 2023, doi: 10.1098/rsif.2023.0367.
[4] Surbhi Gupta, “Deep Vision Based Surveillance Sys-tem to Prevent Train-Elephant Collisions,” Apr. 2021, doi: https://doi.org/10.21203/rs.3.rs-192950/v1.
[5] N. Suganthi dan N. Rajathi, “Elephant Intrusion Detec-tion and Repulsive System,” vol. 7, no. 4, 2018.
[6] S. Bhavani, D. Aathish, S. Iswarya, A. Kathiravan, dan P. Kavin, “Lora Based Elephant Detection System Near Railroads,” Proceeding Int. Conf. Sci. Eng., vol. 11, no. 1, hal. 1257–1267, Feb. 2023, doi: 10.52783/cienceng.v11i1.272.
[7] R. Rathnayaka, N. Batuwangala, M. Fernando, dan W. Fernando, “Elephant Intrusion Detection, Deterrence and Warning System (‘Tusker Alert’)”.
[8] K. Dhanush, “An Intelligent Elephant Intrusion Preven-tion System Using High- Frequency Sound and Smart Alerts,” vol. 12, no. 07, 2025.
[9] D. K. Vidyavathi, N. S. Elakkiya, dan S. Abinaya, “Ele-phant Safety through Cutting-Edge Monitoring Tech-nology,” vol. 14, no. 4, 2025.
[10] M. Zeppelzauer dan A. S. Stoeger, “Establishing the fundamentals for an elephant early warning and moni-toring system,” BMC Res. Notes, vol. 8, no. 1, hal. 409, Dec. 2015, doi: 10.1186/s13104-015-1370-y.
[11] N. Tegar Rezha, “SYSTEM MONITORING AKTIVITAS GAJAH MENGGUNAKAN LONG RANGE (LORA),” 2023.
[12] I. K. C. Arta, “Animal Tracking Berbasis IoT,” Sep. 2022.
[13] Elizabeth J. Golebi, “Elephants’ olfactory communica-tion and implications for conservation monitoring”, doi: https://conbio.onlinelibrary.wiley.com/doi/epdf/10.1111/cobi.13850.
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