Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)

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Development of an Enhanced Earthquake Warning System Using IoT and BMKG API with Attenuation-Based Impact Estimation

Authors
Mohammad Robihul Mufid1, *, Izzamuddin Royhul Firdaus1, Muhammad Turmudzi2, Arif Basofi1, Agung Teguh Setyadi1
1Department of Computer and Informatics Engineering, Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
2Department of Creative Multimedia Technology, Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
*Corresponding author. Email: mufid@pens.ac.id
Corresponding Author
Mohammad Robihul Mufid
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-926-1_52How to use a DOI?
Keywords
Attenuation Relation; BMKG API; Disaster Management; Earthquake Early Warning System (EEWS); Internet of Things (IoT)
Abstract

Indonesia’s high seismicity necessitates robust Earthquake Early Warning Systems (EEWS). Existing systems, while valuable, often face limitations in notification speed and the precision of impact area estimation. This paper presents the development of an enhanced earthquake warning system designed to improve timeliness and accuracy by integrating Internet of Things (IoT) technology with real-time data from Indonesia’s Meteorology, Climatology, and Geophysics Agency (BMKG) REST API. A key feature of this system is the implementation of Yoshimitsu Fukushima's attenuation relation for peak horizontal acceleration (PHA) to estimate a more realistic impact radius for each detected seismic event. Earthquake parameters (magnitude, depth, location) are fetched from the BMKG API, processed to calculate the potential impact zone where PHA exceeds a defined safety threshold, and disseminated through multiple channels. These include dedicated IoT warning devices, a companion Android application providing detailed information and alerts, a web administration portal for system monitoring, and location-aware social media bots (Telegram, WhatsApp) that notify users only if their registered location falls within the estimated impact radius. Preliminary evaluations suggest the system offers potential improvements in notification latency and impact localization compared to standard broadcast methods, aiming to provide more targeted and actionable warnings.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)
Series
Advances in Engineering Research
Publication Date
31 December 2025
ISBN
978-94-6463-926-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-926-1_52How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mohammad Robihul Mufid
AU  - Izzamuddin Royhul Firdaus
AU  - Muhammad Turmudzi
AU  - Arif Basofi
AU  - Agung Teguh Setyadi
PY  - 2025
DA  - 2025/12/31
TI  - Development of an Enhanced Earthquake Warning System Using IoT and BMKG API with Attenuation-Based Impact Estimation
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)
PB  - Atlantis Press
SP  - 459
EP  - 467
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-926-1_52
DO  - 10.2991/978-94-6463-926-1_52
ID  - Mufid2025
ER  -