ANALISIS PERBANDINGAN METODOLOGI BNPB DAN TSVI UNTUK PENILAIAN RISIKO TSUNAMI DI ACEH JAYA, INDONESIA
DOI:
https://doi.org/10.20961/ijed.v4i2.2648Keywords:
KRB BNPB; tsunami index risk; tsunami vulnerability; TSVIAbstract
COMPARATIVE ANALYSIS OF BNPB AND TSVI METHODOLOGIES FOR TSUNAMI RISK ASSESSMENT IN ACEH JAYA, INDONESIA
Aceh Province is considered to be a high-risk area for tsunami susceptibility, a consequence of its geographical proximity to the Sumatra subduction zone. The objective of this study is to compare two methods of tsunami risk assessment, namely the BNPB's official Kajian Risiko Bencana (KRB) framework and the Tsunami Spatial Vulnerability Index (TSVI) method in Aceh Jaya District. The BNPB's KRB approach integrates hazard and vulnerability components using criterion-based analysis in a Geographic Information System (GIS), while the TSVI employs Spatial Principal Component Analysis (SPCA) to analyse large geospatial data, including satellite images, population grids, and economic center location points. The results demonstrate significant discrepancies in the spatial distribution of high-risk zones in the final tsunami risk map derived from each method, due to the different paradigms of susceptibility concept utilisation. The findings also shown that TSVI method can yield additional insights that are not obtained from BNPB's KRB method, concerning the primary contributors to vulnerability in the study area. This study demonstrates the potential of TSVI as a complementary tool to conventional disaster risk assessment, and emphasise the importance of integration between institutional frameworks and data-driven approaches to support more responsive and more contextualised disaster mitigation planning.
References
Amri, I., Hikmasari, B. S., Nababan, C. A., Wijayanti, D. A., Ruslanjari, D., & Giyarsih, S. R. (2023). Tsunami Susceptibility Assessment Using Spatial Multi-Criteria Evaluation in Watukarung, Pacitan. JURNAL GEOGRAFI, 15(2), 195–207. https://doi.org/10.24114/jg.v15i2.41767
Badan Pusat Statistik Kabupaten Aceh Jaya. (2024). Kabupaten Aceh Jaya dalam angka 2024 (Vol. 19, Katalog: 1102001.1116, No. Publikasi: 11160.2201). Badan Pusat Statistik Kabupaten Aceh Jaya. https://acehjayakab.bps.go.id/id/publication/2024/02/28/f44bb61c3a33d6e5d2468111/kabupaten-aceh-jaya-dalam-angka-2024.html
Benazir, & Oktari, R. S. (2024). Assessing tsunami risk along the Aceh coast, Indonesia: a quantitative analysis of fault rupture potential and early warning system efficacy for predicting arrival time and flood extent. Natural Hazards, 120(5), 4875–4900. https://doi.org/10.1007/s11069-024-06401-x
Biswas, S., & Sil, A. (2023). Tsunami Vulnerability Assessment and Multi-Criteria Decision Making Analysis of Eastern Coast of India Using GIS-Based Tools. KSCE Journal of Civil Engineering, 27(3), 1270–1287. https://doi.org/10.1007/s12205-023-1493-y
Doocy, S., Robinson, C., Moodie, C., & Burnham, G. (2009). Tsunami-related injury in Aceh Province, Indonesia. Global Public Health, 4(2), 205–214. https://doi.org/10.1080/17441690802472612
Hadi, A. I., Sunaryo, Farid, M., Refrizon, Harlianto, B., Fadli, D. I., & Putriani, E. (2024). Analysis of earthquake-prone areas based on the seismic wave velocity, young’s modulus, shear modulus, and Poisson’s ratio for disaster risk reduction in Bengkulu city, Indonesia. Natural Hazards, 120(15), 14683–14702. https://doi.org/10.1007/s11069-024-06827-3
Irfan, M. (2024). Analisis Komponen Utama pada Data Diabetes. Sciencestatistics Journal of Statistics, Probability, and Its Application, 2(2), 48–58. https://doi.org/10.24127/sciencestatistics.v2i2.5729
Jundullah, M. R., & Wijayanto, A. W. (2024). Developing Tsunami Spatial Vulnerability Index using Satellite Imagery and Geospatial Big Data in Aceh, Indonesia. Proceedings - International Conference on Informatics and Computational Sciences, 312–317. https://doi.org/10.1109/ICICoS62600.2024.10636877
Muzani, M., Mataburu, I. B., & Tafiati, T. (2024). Vulnerability and tsunami disaster on the west coast Banten province, Indonesia. All Earth, 36(1), 1–12. https://doi.org/10.1080/27669645.2024.2323355
Prasetyo, S. Y. J., Sulistyo, W., Basuki, P. N., Hartomo, K. D., & Hasiholan, B. (2022). Computer model of Tsunami vulnerability using machine learning and multispectral satellite imagery. Bulletin of Electrical Engineering and Informatics, 11(2), 986–997. https://doi.org/10.11591/eei.v11i2.3372
Purnama, M. R., Adityawan, M. B., Pribadi, K. S., Farid, M., Widyaningtias, & Kuntoro, A. A. (2022). Tsunami Risk Assessment in Business Continuity Planning for Palu Special Economic Zone. IOP Conference Series: Earth and Environmental Science, 1065(1). https://doi.org/10.1088/1755-1315/1065/1/012053
Ramadhan, M. F., Handayani, H. H., & Nurwatik. (2021). Analysis of Tsunami Disaster Risk Level Using Grid-Based Method (Case Study: Coastal South Beach Blitar). IOP Conference Series: Earth and Environmental Science, 731(1). https://doi.org/10.1088/1755-1315/731/1/012033
Sufri, S., & Lassa, J. A. (2024). Integration of disaster risk reductionand climate change adaptation in Aceh: Progress and challenges after 20 Years of Indian Ocean Tsunamis. International Journal of Disaster Risk Reduction, 113. https://doi.org/10.1016/j.ijdrr.2024.104894
Syamsidik, Nugroho, A., Oktari, R. S., & Fahmi, M. (2019). Aceh Pasca 15 Tahun Tsunami: Kilas Balik dan Proses Pemulihan. Banda Aceh: Tsunami and Disaster Research Center (TDMRC), Universitas Syiah Kuala.
Van Veen, B. A. D., Vatvani, D., & Zijl, F. (2014). Tsunami flood modelling for Aceh & west Sumatra and its application for an early warning system. Continental Shelf Research, 79, 46–53. https://doi.org/10.1016/j.csr.2012.08.020
Wiyono, R. U. A., Pujianto, A., & Hidayah, E. (2024). Tsunami Risk Mapping in Tempurejo District, Jember Regency based on BNPB Criteria using TOPSIS Method. IOP Conference Series: Earth and Environmental Science, 1347(1). https://doi.org/10.1088/1755-1315/1347/1/012057
Wong, M. M. R., Ahmad, N., Syamsidik, Suppasri, A., & Othman, M. (2022). Multi-indicator building vulnerability index for assessing tsunami-induced building damages. E3S Web of Conferences, 340. https://doi.org/10.1051/e3sconf/202234004002
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Indonesian Journal of Environment and Disaster

This work is licensed under a Creative Commons Attribution 4.0 International License.




