A Lora-Based Geofencing System For Real-Time Elephant Movement Monitoring And Early Warning

DOI: https://doi.org/10.33650/jeecom.v8i1.14581
Authors

(1) * Furqon Andika   (Politeknik Caltex Riau)  
        Indonesia
(2)  Hamid Azwar   (Politeknik Caltex Riau)
(3)  Wira Indani   (Politeknik Caltex Riau)
(4)  Muhammad Diono   (Politeknik Caltex Riau)
(*) Corresponding Author

Abstract


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



Full Text: PDF



References


R. D. Rahayani, A. Gunawan, and A. U. Ariwibowo, “Implementation of Radio Frequency as Elephant Presence Detector for the Human Elephant Conflict Prevention,” 2014.

F. Zhao et al., “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, p. 1088722, Apr. 2023, doi: 10.3389/fevo.2023.1088722.

L. Brickson, L. Zhang, F. Vollrath, I. Douglas-Hamilton, and 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, p. 20230367, Nov. 2023, doi: 10.1098/rsif.2023.0367.

Surbhi Gupta, “Deep Vision Based Surveillance System to Prevent Train-Elephant Collisions,” Apr. 2021, doi: https://doi.org/10.21203/rs.3.rs-192950/v1.

N. Suganthi and N. Rajathi, “Elephant Intrusion Detection and Repulsive System,” vol. 7, no. 4, 2018.

S. Bhavani, D. Aathish, S. Iswarya, A. Kathiravan, P. Kavin, “Lora Based Elephant Detection System Near Railroads,” Proceeding Int. Conf. Sci. Eng., vol. 11, no. 1, pp. 1257–1267, Feb. 2023, doi: 10.52783/cienceng.v11i1.272.

R. Rathnayaka, N. Batuwangala, M. Fernando, and W. Fernando, “Elephant Intrusion Detection, Deterrence and Warning System (‘Tusker Alert’)”.

K. Dhanush, “An Intelligent Elephant Intrusion Prevention System Using High- Frequency Sound and Smart Alerts,” vol. 12, no. 07, 2025.

D. K. Vidyavathi, N. S. Elakkiya, and S. Abinaya, “Elephant Safety through Cutting-Edge Monitoring Technology,” vol. 14, no. 4, 2025.

M. Zeppelzauer and A. S. Stoeger, “Establishing the fundamentals for an elephant early warning and monitoring system,” BMC Res. Notes, vol. 8, no. 1, p. 409, Dec. 2015, doi: 10.1186/s13104-015-1370-y.

N. Tegar Rezha, “SYSTEM MONITORING AKTIVITAS GAJAH MENGGUNAKAN LONG RANGE (LORA),” 2023.

I. K. C. Arta, “Animal Tracking Berbasis IoT,” Sep. 2022.

Elizabeth J. Golebi, “Elephants’ olfactory communication and implications for conservation monitoring”, doi: https://conbio.onlinelibrary.wiley.com/doi/epdf/10.1111/cobi.13850.


Dimensions, PlumX, and Google Scholar Metrics

10.33650/jeecom.v8i1.14581


Refbacks

  • There are currently no refbacks.


Copyright (c) 2026 Furqon Andika, Hamid Azwar, Wira Indani, Muhammad Diono

 
This work is licensed under a Creative Commons Attribution License (CC BY-SA 4.0)

Journal of Electrical Engineering and Computer (JEECOM)
Published by LP3M Nurul Jadid University, Indonesia, Probolinggo, East Java, Indonesia.