Issue |
E3S Web Conf.
Volume 464, 2023
The 2nd International Conference on Disaster Mitigation and Management (2nd ICDMM 2023)
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|
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Article Number | 14006 | |
Number of page(s) | 6 | |
Section | Seismic Hazard and Tsunami Disaster Management and Mitigation | |
DOI | https://doi.org/10.1051/e3sconf/202346414006 | |
Published online | 18 December 2023 |
Website design of a spatial data dissemination system and soil classification based on geotechnical engineering (case study: Surabaya City)
1 State College of Meteorology Climatology and Geophysics, Department of Instrumentation MKG, Jl. Perhubungan 1 no.5 Pondok Betung, Tangerang Selatan, Indonesia
2 State College of Meteorology Climatology and Geophysics, Department of Geophysics, Jl. Perhubungan 1 no.5 Pondok Betung, Tangerang Selatan, Indonesia
* Corresponding author: sandytri.gustono@stmkg.ac.id
The Indonesian Meteorology, Climatology, and Geophysics Agency (BMKG) provides information on meteorology, climatology, and geophysics related to soil classification and characteristics. This data is crucial for spatial mapping and needs to be easily understood by the public. Soil classification mapping is vital for urban planning and earthquake mitigation in densely populated areas. To address this, a website was created for easy access to soil classification mapping data in Surabaya. The website utilizes QGIS for raster map processing. Users select parameters to display interactive raster maps with measured values for assessing soil conditions. A survey evaluated the website and app, resulting in 77,2% to 85,7% user satisfaction. The study confirms their usability and effectiveness. This journal presents the system's design and implementation for disseminating spatial data and soil classification information. It highlights the potential for supporting efficient urban planning and earthquake risk mitigation, benefiting the public and authorities.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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