Coastal Area Resilience Assessment Study of Kalibuntu to Rob Flood Disaster
Ratri Wulandari
Universitas Jember
Nunung Nuring Hayati
Universitas Jember
Ratih Novi Listyawati
Universitas Jember
Abstract
Probolinggo Regency is one of cities in Indonesia located on the north coast of Java which has a relatively flat and plain. This condition causes Probolinggo to hava a potential for various disaster risks, one of which is tidal flooding. The three sub-districts that are areas with the highest intensity of tidal flooding are Kraksaan District, Paiton District and Gending District. The coastal area in Kraksaan District, Probolinggo Regency is a lowland with an altitude of 0-100 m above sea level which is prone to tidal flooding. The tidal flood incident in Kraksaan District mostly inundated Kalibuntu Village which is a fishing village and has the highest population density of 7,989 km2 (BPS Probolinggo Regency, 2020). Many community business areas were inundated by tidal flooding such as 496.80 ha of ponds which caused crop failure for pond farmers, community rice fields covering an area of 311.12 ha caused damage to the commodities planted (Pratama et al, 2017). These losses will have a negative impact on the sustainable livelihoods of people living on the coast if tidal floods continue to occur repeatedly. Based on these conditions, it is necessary map disaster vulnerability using 4 vulnerability parameters, namely physical, social, economic and environmental vulnerability. Areas with high vulnerability due to very high population and settlement density can cause the area to be vulnerable to disasters. After the level of vulnerability is known, an assessment of the resilience of the Kalibuntu coastal area to tidal flood disasters will be carried out by several selected respondents using the ANP (Analitycal Network Process) method with the final output is determining priority criteria and selecting the best alternatives that can be used as recommendations for increasing the resilience of Kalibuntu coastal area to tidal flood disasters. The main priority in increasing the resilience of Kalibuntu coastal area is optimizing the improvement of tidal flood mitigation infrastructure.
Keywords: Rob Floods, Vulnerability, Regional Resilience, and Analytical Network Process (ANP)
REFERENCES
[1] Arief, L. N., Purnama, B. S., & Aditya, T. (2015). “Pemetaan Risiko Bencana Banjir Rob”. The 1st Conference on Geospatial Information Science and Engineering, 1–12.
[2] Ascarya. (2005). Analytic Network Process (ANP): Pendekatan Baru Studi Kualitatif. Pusat Pendidikan dan Studi Kebanksentralan, Bank Indonesia.
[3] Ascarya. (2010). “Analytic Network Process (ANP): Pendekatan Baru dalam Penelitian Kualitatif” volume 2 (Aplikasi). Makalah Metodologi Penelitian. STEI-Tazkia Bogor
[4] Ayunarita, S. (2017). “Studi Pola Arus, Pasang Surut Dan Gelombang Di Perairan Pantai Pelawan Desa Pangke Kecamatan Merai Kabupaten Karimun Provinsi Kepulauan Riau”. Jurnal Universitas Riau. 1-15
[5] BNPB. (2012). Pedoman Umum Pengkajian Risiko Bencana. BNPB.
[6] Dibyosaputro, S. (1984). Flood Susceptibility and Hazard Survey of the Kudus-Prawata- Welahan Area, Central Java, Indonesia. ITC.
[7] Dijkstra, A. (2008). “Dynamical Oceanography”. Springer-Verlag Berlin Heidelberg German, 405 pp.
[8] Diposaptono, S., Budiman, & Agung, F. (2009). Menyiasati Perubahan Iklim di Wilayah Pesisir dan Pulau-Pulau Kecil (III). PT. Sarana Komunikasi Utama.
[9] Hewlett, J.D. 1982. “Forests and Floods in Light of Recent Investigations”. Proceedings of the Canadian Hydrology Symposium; 14-15 June 1982; Fredericton, New Brunswick. Associate Committee on Hydrology, National Research Council of Canada, pp. 543-59.
[10] Ilhami, F., Nugroho, D., & Rocchadi, B. (2014). “Pemetaan Tingkat Kerawanan Rob untuk Evaluasi Tata Ruang Permukiman Daerah Pesisir Kabupaten Pekalongan Jawa Tengah”. JOURNAL OF MARINE RESEARCH, 3 (4), 508–515.
[11] Laila, F. (2016). Analisis Tingkat Bahaya dan Kerentanan Bencana Banjir Terhadap Wilayah Kota Yogyakarta [Skripsi]. Yogyakarta : UMY
[12] Saaty, T. L. (2003). “Decision making with the AHP,Why is the principal eigenvector necessary”. European Journal of Operational Research, 145, 85–91.
[13] Saaty, Thomas L., Luis G. Vargas. 2006. “Decision Making with the Analytic Network Process: Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks”. Springer, Network. 278 pp.
[14] Setyanigrum, P., & Giyarsih, S. R. (2012). “Identifikasi Tingkat Kerentanan Sosial Ekonomi Penduduk Bantaran Sungai Code Kota Yogyakarta Terhadap Bencana Lahar Merapi”. Jurnal Bumi Indonesia, 1(3)
[15] The World Bank. (2013). Building Urban Resilience: Principles, Tools, and Practice (A. K. Jha, T. W. Miner, & Z. Stanton-Geddes (ed.)). World Bank Publications.
[16] UNISDR. (2002). Background paper for the World Summit on Sustainable Development (WSSD) (Nomor 5). United Nations.
[17] UNISDR. (2005). “Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disasters". UN world conference on disaster risk reduction, 18–22.
[18] Yüksel, I., & Daǧdeviren, M. (2007). “Using the analytic network process (ANP) in a SWOT analysis - A case study for a textile firm”. Information Sciences, 117(16), 3364-3382.
