Tsunami Vulnerability Analysis of the Coastal Area of Aceh Jaya Regency Using Artificial Intelligence-Based Google Earth Engine (GEE)

DOI

10.2991/978-2-38476-499-0_14How to use a DOI?

Keywords

Tsunami Vulnerability; Google Earth Engine; Artificial Intelligence

Abstract

Indonesia’s coastal areas are highly susceptible to tsunamis due to their location along the convergence of major tectonic plates within the Pacific Ring of Fire. Aceh Jaya Regency, one of the regions severely affected by the 2004 tsunami, continues to face similar threats, highlighting the need for accurate vulnerability assessments to support disaster mitigation and spatial planning. This study aims to analyze the tsunami vulnerability of Aceh Jaya’s coastal areas using Google Earth Engine (GEE) by integrating four key parameters: distance from the shoreline, elevation, slope gradient, and land use. Each parameter was assigned a weight and score based on its influence on potential tsunami impacts, producing a spatially explicit vulnerability map categorized into three levels: low, medium, and high. A quantitative descriptive approach was applied, utilizing remote sensing data from SRTM and MODIS, and processing it on the GEE platform. The total vulnerability index for each spatial unit was calculated by summing the weighted scores of all parameters. The results indicate that most coastal areas fall into the Very Low to Low vulnerability categories, while specific sub-districts such as Teunom, Krueng Sabee, and Setia Bakti exhibit Medium to Very High vulnerability. Validation with BPBD data confirms the reliability of the analysis. These findings provide a critical basis for disaster-resilient planning, including land use regulation, evacuation route design, and community preparedness programs. These contribute to enhanced tsunami risk reduction in Aceh Jaya Regency.

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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TY  - CONF
AU  - Muhammad Farouq Ghazali Matondang
AU  - Hikmawan Syahputra
AU  - Elsa Kardiana
AU  - Tengku Abdillah Aziz
PY  - 2025
DA  - 2025/12/12
TI  - Tsunami Vulnerability Analysis of the Coastal Area of Aceh Jaya Regency Using Artificial Intelligence-Based Google Earth Engine (GEE)
BT  - Proceedings of the International Conference on Social Sciences and Interdisciplinary Studies (ICSSIS 2025)
PB  - Atlantis Press
SP  - 157
EP  - 171
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-499-0_14
DO  - 10.2991/978-2-38476-499-0_14
ID  - Matondang2025
ER  -