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(Lecturer of Telecommunication Engineering, Medan State Polytechnic, Indonesia)*corresponding author
AbstractEarthquakes are one of the natural disasters whose arrival cannot be ascertained and have a very detrimental impact, both in terms of property losses and lives. Indonesia, with its very active tectonic plate conditions, often experiences earthquakes, so it needs an effective early warning system. BMKG has developed an early warning system that informs of earthquake events through various media. However, this system still has weaknesses in the speed of delivering information to the public. This research aims to design and make a prototype of an earthquake early warning tool that can send information in the form of notifications and warning alarms using the Telegram application. The use of Telegram as a medium for conveying information was chosen because of its high speed, security, and accessibility. This research was carried out at the Medan State Polytechnic using the MPU 6050 sensor to detect earthquake vibrations and send data to a database containing seismic information. The results of the research were able to make a prototype of an earthquake early warning tool that uses Telegram for the dissemination of warning information in real-time, so that people can more quickly take self-rescue actions. The integration of Telegram in the earthquake early warning system is expected to increase the effectiveness of information dissemination and can be a faster and more efficient solution in dealing with earthquake disasters in Indonesia
KeywordsEarthquake, Early warning system, BMKG, Telegram, Internet of Things (IoT), MPU 6050 sensor, Medan State Polytechnic
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DOIhttps://doi.org/10.29099/ijair.v8i1.1.1279 |
Article metrics10.29099/ijair.v8i1.1.1279 Abstract views : 298 |
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References
The Allen, R. M., & Melgar, D. (2019). Earthquake early warning: Advances, scientific challenges, and societal needs. Annual Review of Earth and Planetary Sciences, 47, 423-446.
Andi, S. M. (2021). Pengembangan sistem peringatan dini gempa bumi menggunakan IoT. Jurnal Teknologi, 12(1), 45-52.
BMKG. (2020). Development of seismic early warning system in Indonesia. BMKG Research Report.
BMKG. (2021). Seismic activity and early warning systems in Indonesia. BMKG Annual Report.
Clark, M., et al. (2019). Using Telegram for disaster communication: Real-time alerts and data-sharing. Emergency Response Journal, 22(4), 205-217.
García, D., & Suárez, G. (2021). Performance of earthquake early warning systems and the earthquake magnitude determination: A worldwide analysis. Earthquake Spectra, 37(1), 25-44.
Gurav, P., et al. (2020). IoT based earthquake early warning systems: A review. Journal of Applied Research in Technology, 5(2), 114-124.
Hartadi, W. K., et al. (2022). A hybrid approach to earthquake early warning system: Combining IoT and real-time communication. Journal of Applied Sciences, 14(3), 234-245.
Hartadi, W. K., et al. (2022). Implementation of IoT-based earthquake detection system using Telegram: A case study in Medan, Indonesia. Disaster Risk Reduction Journal, 34(2), 135-149.
Heaton, T. H. (2015). A review of seismic early warning technologies. Seismological Research Letters, 86(4), 932-939.
Hossain, M. S., & Kim, J. (2020). Earthquake risk assessment for building structures in seismic prone areas. Journal of Structural Engineering, 15(4), 215-230.
Irfan, F., et al. (2020). Application of IoT for early earthquake warning systems using ESP8266 and Telegram. Journal of Engineering Research and Applications, 10(2), 120-128.
Kanamori, H. (2005). Real-time seismology and earthquake damage mitigation. Annual Review of Earth and Planetary Sciences, 33, 563-587.
Kusuma, H., et al. (2021). Implementasi teknologi IoT untuk mitigasi bencana gempa di Indonesia. Jurnal Teknologi Informasi dan Komputer, 8(2), 113-120.
Li, S., et al. (2022). A high-precision earthquake early warning system based on IoT and deep learning. IEEE Internet of Things Journal, 9(7), 5641-5652.
Lyu, X., et al. (2021). Real-time monitoring of earthquake activity using IoT. Sensors and Actuators A: Physical, 123(2), 456-462.
Minson, S. E., et al. (2018). The limits of earthquake early warning: Timeliness of ground motion estimates. Science Advances, 4(4), eaao4966.
Research on Early Earthquake Warning Systems. (2023). Pengembangan alat deteksi gempa menggunakan sensor akselerometer. Journal of Earthquake Engineering, 27(1), 15-28.
Siregar, R., et al. (2021). IoT-based real-time earthquake detection system using ESP8266. International Journal of Disaster Risk Reduction, 46, 101543.
Sim, S., & Ruohomaa, M. (2021). Enhancing disaster communication with Telegram: Real-time responses in emergency situations. Disaster Management Review, 10(3), 89-105.
Supartoyo, E., et al. (2016). Seismotectonics and seismic hazard assessment in Indonesia. Journal of Geophysical Research, 121(9), 6968-6985.
Tan, M. X., & Wang, Y. (2018). IoT-based early warning systems for earthquake detection. International Journal of Disaster Risk Reduction, 25, 141-149.
Usman, M., et al. (2020). Real-time monitoring and communication systems for earthquake early warning in rural areas. Journal of Disaster Risk Science, 15(4), 275-285.
Zhang, H., et al. (2020). Seismic early warning systems: Current status and perspectives. Seismological Research Letters, 91(1), 38-44.
Zhang, L., et al. (2019). Application of IoT in earthquake early warning systems: A review. Advances in Earth Sciences, 44(1), 45-53.
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The International Journal of Artificial Intelligence Research
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