District clustering in Malang City based on natural disaster vulnerability: basic polity formulation in disaster management

Authors

  • Aminkun Imam Rafii Faculty of Economics and Business, University of Islam Malang

DOI:

https://doi.org/10.26905/pjiap.v9i1.11951

Keywords:

Clustering, Disaster Management, Vulnerability

Abstract

The primary objective of this study is to assess the vulnerability to natural disasters in various sub-districts within Malang City, utilizing secondary data from the Central Statistics Agency (BPS). Additionally, it seeks to recognize and analyze distinct vulnerability patterns within each sub-district and establish a more effective disaster management policy framework tailored to the specific vulnerability characteristics of each sub-district cluster. The research employed cluster analysis to categorize sub-districts with comparable vulnerability characteristics. As a result, two distinct clusters emerged: Cluster 1 comprising the Sukun and Blimbing sub-districts, characterized by a higher vulnerability rate, and Cluster 2 encompassing the Kedungkandang, Klojen, and Lowokwaru sub-districts, which exhibit a lower vulnerability rate. This shows a significant difference in vulnerability to natural disasters between sub-districts in Malang City. This research approach is expected to provide a deeper understanding of disaster vulnerability in each sub-district to help formulate more effective disaster management policies on the characteristics of vulnerability in each sub-district cluster. 

Author Biography

Aminkun Imam Rafii, Faculty of Economics and Business, University of Islam Malang

Faculty of Economics and Business University of Islam Malang

References

Alshehri, S. A., Rezgui, Y., & Li, H. (2015). Delphi-based consensus study into a framework of community resilience to disaster. Natural Hazards, 75, 2221-2245.

Bosher, L., Chmutina, K., & Niekerk, D. (2021). Stop going around in circles: towards a reconceptualization of disaster risk management phases. Disaster Prevention and Management an International Journal, 30(4/5), 525-537. https://doi.org/10.1108/dpm-03-2021-0071

Baker, S. (2009). Vulnerability and resilience in natural disasters: a marketing and public policy perspective. Journal of Public Policy & Marketing, 28(1), 114-123. https://doi.org/10.1509/ jppm.28.1.114

Chen, W., Cutter, S. L., Emrich, C. T., & Shi, P. (2013). Measuring social vulnerability to natural hazards in the Yangtze River Delta region, China. International Journal of Disaster Risk Science, 4, 169-181.

Chong, N. and Kamarudin, K. (2018). Disaster risk management in Malaysia: issues and challenges from the persepctive of agencies. Planning Malaysia, 16(5). https://doi.org/10.21837/pmjournal.v16.i5.415

Cho, H. (2024). Analyzing vulnerabilities of disaster risk management systems of local governments in south korea: evidence from national audit office reports. Systems, 12(3), 76. https://doi.org/10.3390/systems12030076

Chipangura, P. (2024). Organisational vulnerability: exploring the pathways. Disaster Prevention and Management an International Journal, 33(6), 16-29. https://doi.org/10.1108/dpm-03-2024-0065

Fekete, A., Hufschmidt, G., & Kruse, S. (2014). Benefits and challenges of resilience and vulnerability for disaster risk management. International Journal of Disaster Risk Science, 5(1), 3-20. https:// doi.org/10.1007/s13753-014-0008-3

Hair, J.F., Black, W.C., Babin, B.J., dan Anderson, R.E. 2014. Multivariate Data Analysis.Upper Saddle River, NJ: Prentice Hall.

Hardle, W. Dan Simar, L. 2007. Applied Multivariate Statistical Analysis. Berlin: Springer.

Huq, M. E., Shoeb, A. Z. M., Hossain, M. A., Fahad, S., Kamruzzaman, M. M., Javed, A.,... & Sarven, M. S. (2020). Measuring vulnerability to environmental hazards: qualitative to quantitative. Environment, climate, plant and vegetation growth, 421-452.

Jamshed, A., Birkmann, J., Feldmeyer, D., & Rana, I. (2020). A conceptual framework to understand the dynamics of rural–urban linkages for rural flood vulnerability. Sustainability, 12(7), 2894. https:/ /doi.org/10.3390/su12072894

Kunguma, O., Mokhele, M., & Coetzee, M. (2021). Investigating the prevention and mitigatory role of risk communication in the covid-19 pandemic: a case study of bloemfontein, south africa. Jàmbá Journal of Disaster Risk Studies, 13(1). https://doi.org/10.4102/jamba.v13i1.1130

Lizarralde, G., Valladares, A., Olivera, A., Bornstein, L., Gould, K., & Barenstein, J. D. (2015). A systems approach to resilience in the built environment: the case of Cuba. Disasters, 39(s1), s76-s95.

Mattjik, A.A. dan Sumertajaya, I.M. 2011. Sidik Peubah Ganda dengan Menggunakan SAS. Bogor: IPB Press.

Malakar, Y. and Bhandari, D. (2012). Six steps to a quick hazards assessment at village level: a participatory assessment approach applied in nawalparasi district, nepal. Risk Hazards & Crisis in Public Policy, 3(1), 1-19. https://doi.org/10.1515/1944-4079.1099

Nessa, A., Usman, M., & Putra, R. (2016). Analisis Kerentanan Banjir di Kota Makassar dengan Pendekatan Multikriteria. Jurnal Penelitian Sains, 19(1), 21-28.

Nojavan, M., Salehi, E., & Omidvar, B. (2018). Conceptual change of disaster management models: a thematic analysis. Jàmbá Journal of Disaster Risk Studies, 10(1). https://doi.org/10.4102/ jamba.v10i1.451

Riani, E., Oktari, R., & Yanti, M. (2020). Pemetaan Wilayah Rawan Bencana Longsor Menggunakan Metode Composite Index di Kabupaten Lampung Selatan. Jurnal Rekayasa Sipil dan Desain, 8(1), 1-8.

Raillani, H., Hammadi, L., Samed, M., Ballouti, A., & Barbu, V. (2020). Humanitarian logistics in the disaster relief supply chain: state of the art.. https://doi.org/10.2495/risk200161

Rijal, S., Adhikari, S., & Shrestha, A. (2020). Guiding documents for disaster risk reduction and management in health care system of nepal. Journal of Nepal Medical Association, 58(230). https://doi.org/10.31729/jnma.5041

Sahib, N. H., Putra, S. T., & Hatta, M. (2018). Pemetaan Tingkat Kerentanan Banjir di Kota Bengkulu. Jurnal Pengembangan Kota, 6(2), 94-102.

Siagian, T. H., Purhadi, P., Suhartono, S., & Ritonga, H. (2014). Social vulnerability to natural hazards in Indonesia: Driving factors and policy implications. Natural hazards, 70, 1603-1617.

Supranto, J. 2004. Analisis Multivariat Arti dan Interpretasi. Jakarta: PT. Rineka Cipta.

Surjan, A., Kudo, S., & Uitto, J. I. (2016). Risk and vulnerability. Sustainable development and disaster risk reduction, 37-55.

Watson, R. (2015). Quantitative research. Nursing Standard, 29(31), 44–48. https://doi.org/10.7748/ns.29.31.44.e8681

Yamori, K. and Goltz, J. (2021). Disasters without borders: the coronavirus pandemic, global climate change and the ascendancy of gradual onset disasters. International Journal of Environmental Research and Public Health, 18(6), 3299. https://doi.org/10.3390/ijerph18063299

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Published

2024-08-08

How to Cite

Rafii, A. I. (2024). District clustering in Malang City based on natural disaster vulnerability: basic polity formulation in disaster management. Publisia: Jurnal Ilmu Administrasi Publik, 9(1), 106–114. https://doi.org/10.26905/pjiap.v9i1.11951

Issue

Vol. 9 No. 1: APRIL 2024

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PUBLISIA: Jurnal Ilmu Administrasi Publik

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