SISTEM INFORMASI GEOGRAFIS UNTUK ANALISIS KERENTANAN TSUNAMI DI KABUPATEN TANGGAMUS PROVINSI LAMPUNG

 Andre Vanbudi, Muhammad Irfan Affandi, Henky Mayaguezz, Abdullah Aman Damai, Indra Gumay Yudha

Abstract


Rencana mitigasi dan rekonstruksi bencana akibat tsunami dapat diimplementasikan dengan berbagai tindakan. Integrasi analisis spasial Sistem Informasi Geografis (SIG) dengan analisis multi-kriteria Analytical Hierarchy Process (AHP) untuk penilaian dampak genangan tsunami merupakan salah satu tindakan mitigasi. Dalam studi ini, dilakukan penilaian kerentanan, genangan dan dampak akibat bahaya tsunami di Kabupaten Tanggamus. Data spasial Digital Elevation Model (DEM) dan data historis run-up tsunami diproses dengan SIG. Ketiadaan validasi lapangan menjadi keterbatasan studi. Parameter elevation dan slope dibuat dari CIAT-CSI SRTM, sedangkan coastline distance dibuat dari peta vektor area. AHP digunakan untuk menimbang parameter melalui perbandingan berpasangan (pairwise comparison). Matriks perbandingan berpasangan tersebut dinormalisasi dan diiterasi hingga mencapai konvergensi vektor eigen utama (CR < 0,10). Lima kelas kerentanan didefinisikan dan dianalisis untuk pemetaan genangan tsunami. Weighted overlay melalui analisis spasial di SIG digunakan untuk membuat peta akhir kerentanan tsunami. Hasil penilaian menunjukkan bahwa wilayah studi berada di bawah zona kerentanan low sebesar 1.417,53 km2 (52,46%), slightly low 1.152,61 km2 (42,66%), medium 63,54 km2 (2,35%), slightly high 48,30 km2 (1,79%), dan high 20,09 km2 (0,74%). Sebanyak 52 desa/kelurahan yang tersebar pada 9 kecamatan memiliki daerah dengan tingkat kelas kerentanan tinggi terhadap tsunami. Hasil ini dapat menjadi informasi awal untuk pengelolaan strategi mitigasi bencana di kawasan pesisir dan proses evakuasi bencana.

Keywords


elevasi; garis pantai; lereng; tsunami; kerentanan

References


Bollin, C., Cárdenas, C., Hahn, H., & Vatsa, K. S. (2003). Disaster Risk Management by Communities and Local Governments. Inter-American Development Bank. 1–91 pp. https://doi.org/10.18235/0008775

BPS Kabupaten Tanggamus. (2025). Kabupaten Tanggamus Dalam Angka 2025. BPS Kabupaten Tanggamus. 1–323 pp.

Bretschneider, C. L., Bretschneider, C. L., & Wybro, P. G. (1976). Tsunami Inundation Prediction. Coastal Engineering Proceedings, 1(15), 59. https://doi.org/10.9753/icce.v15.59

Farhan, A., & Akhyar, H. (2017). Analysis of tsunami disaster map by Geographic Information System (GIS): Aceh Singkil-Indonesia. IOP Conference Series: Earth and Environmental Science, 56(1), 012002. https://doi.org/10.1088/1755-1315/56/1/012002

Febrina, R., Evan, D. K., Afriani, L., Retno, R. M. I., Susilorini, & Fitra, H. A. (2020). The analysis of Tsunami evacuation route based on geographic information system: a case study in the coast of Lampung Bay. IOP Conference Series: Materials Science and Engineering, 807(1), 012022. https://doi.org/10.1088/1757-899X/807/1/012022

Forman, E., & Selly, M. (2001). Decision by objectives: how to convince others that you are right. World Scientific Publishing. 1–401 pp.

Horn, B. K. P. (1981). Hill Shading and the Reflectance Map. Proceedings of the IEEE, 69(1), 14–47. https://doi.org/10.1109/PROC.1981.11918

Jarvis, A., Reuter, H. I., Nelson, A., & Guevara, E. (2008). Hole-filled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90m Database. http://srtm.csi.cgiar.org

Mahendra, R. S., Mohanty, P. C., Bisoyi, H., Kumar, T. S., & Nayak, S. (2011). Assessment and management of coastal multi-hazard vulnerability along the Cuddalore–Villupuram, east coast of India using geospatial techniques. Ocean & Coastal Management, 54(4), 302–311. https://doi.org/10.1016/J.OCECOAMAN.2010.12.008

Mayaguezz, H., Muhaemin, M., Gilang, M., Putra, A., Susanti, O., Kusuma, A. H., Efendi, E., Lahay, A. F., & Amiin, M. K. (2023). Tsunami Evacuation Accessibility Simulation Using Network Analysis Tools in Tsunami Prone Areas of Tanggamus District. Jurnal Pengabdian Kepada Masyarakat Universitas Bangka Belitung, 10(1), 32–41. https://doi.org/10.33019/JPU.V10I1.3888

Melianita, R., Andius, D. P., & Syah, A. (2021). Analisis Potensi Kerentanan dan Risiko Bencana di Wilayah Kabupaten Tanggamus. Jurnal Rekayasa Sipil Dan Desain (JRSDD), 9(3), 437–448. https://doi.org/10.23960/JRSDD.V9I3.1896

Papathoma, M., & Dominey-Howes, D. (2003). Tsunami vulnerability assessment and its implications for coastal hazard analysis and disaster management planning, Gulf of Corinth, Greece. Natural Hazards and Earth System Sciences, 3(6), 733–747. https://doi.org/10.5194/NHESS-3-733-2003

Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234–281. https://doi.org/10.1016/0022-2496(77)90033-5

Saaty, T. L. (2003). Decision-making with the AHP: Why is the principal eigenvector necessary. European Journal of Operational Research, 145(1), 85–91. https://doi.org/10.1016/S0377-2217(02)00227-8

Saaty, T. L. (2012). Decision making for leaders: the analytic hierarchy process for decisions in a complex world (Third Edition). RWS publications.

Sambah, A. B., & Miura, F. (2014a). Integration of Spatial Analysis for Tsunami Inundation and Impact Assessment. Journal of Geographic Information System, 6(1), 11–22. https://doi.org/10.4236/JGIS.2014.61002

Sambah, A. B., & Miura, F. (2014b). Remote sensing and spatial multi-criteria analysis for tsunami vulnerability assessment. Disaster Prevention and Management, 23(3), 271–295. https://doi.org/10.1108/DPM-05-2013-0082

Sambah, A. B., Miura, F., Guntur, & Fuad. (2018). Spatial multi criteria approach for tsunami risk assessment. IOP Conference Series: Earth and Environmental Science, 162(1), 012019. https://doi.org/10.1088/1755-1315/162/1/012019

Sambah, A. B., Tri Djoko, L., & Bayu, R. (2019). Satellite image analysis and GIS approaches for tsunami vulnerability assessment. IOP Conference Series: Earth and Environmental Science, 370(1), 012068. https://doi.org/10.1088/1755-1315/370/1/012068

Sinaga, T. P. T., Nugroho, A., Lee, Y. W., & Suh, Y. (2011). GIS mapping of tsunami vulnerability: Case study of the Jembrana regency in Bali, Indonesia. KSCE Journal of Civil Engineering, 15(3), 537–543. https://doi.org/10.1007/S12205-011-0741-8

Strunz, G., Post, J., Zosseder, K., Wegscheider, S., Mück, M., Riedlinger, T., Mehl, H., Dech, S., Birkmann, J., Gebert, N., Harjono, H., Anwar, H. Z., Sumaryono, Khomarudin, R. M., & Muhari, A. (2011). Tsunami risk assessment in Indonesia. Natural Hazards and Earth System Sciences, 11(1), 67–82. https://doi.org/10.5194/NHESS-11-67-2011

Suhadha, A. G., & Julzarika, A. (2020). Integration of Remote Sensing and Geographic Information System for Mapping Potential Tsunami Inundation. Proceeding - AGERS 2020: IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology: Understanding the Interaction of Land, Ocean and Atmosphere: Disaster Mitigation and Regional Resillience, 163–167. https://doi.org/10.1109/AGERS51788.2020.9452767

Tiwi, D. A. (2017). Pemetaan Multi Risiko Bencana Pada Kawasan Strategis Di Kabupaten Tanggamus. Alami: Jurnal Teknologi Reduksi Risiko Bencana, 1(1), 43–48. https://doi.org/10.29122/ALAMI.V1I1.115

Triyono, R., Prasetya, T., Anugrah, S. D., Sudrajat, A., Setiyono, U., Gunawan, I., Priyobudi, Yatimantoro, T., Hidayanti, Anggraini, S., Rahayu, R. H., Yogaswara, D. S., Hawati, P., Apriani, M., Julius, A. M., Harvan, M., Simangunsong, G., & Kriswinarso, T. (2019). Katalog Tsunami Indonesia Per-Wilayah Tahun 416-2018 (Cetakan Kedua). Jakarta: Badan Meteorologi Klimatologi dan Geofisika. 1–84 pp.


DOI: http://dx.doi.org/10.31314/jsig.v9i1.5207

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