Comparison of Hard Clustering and Soft Clustering Methods in Grouping Regencies/Cities in West Java Province Based on Regional Vulnerability Indicators to the Impact of Hydrometeorological Disasters in 2021

Hanifah Vida Indrasari, Yuliagnis Transver Wijaya

Abstract

Indonesia is an archipelagic country with a high incidence of hydrometeorological disasters and the number is increasing every year. One of the provinces in Indonesia with the highest number of hydrometeorological disasters is West Java Province, where 98.97 percent are hydrometeorological disasters. This is also supported by the characteristics of the area which is dominated by mountains, high rainfall, has 40 watersheds, and has six faults that are suspected to be still active so that it is vulnerable to hydrometeorological disasters. Research on regional vulnerability to hydrometeorological disasters can be carried out by grouping regions based on the same level of vulnerability using the clustering method. The purpose of this study was to group regencies or cities in West Java Province based on indicators of regional vulnerability to the impacts of hydrometeorological disasters in 2021. The clustering method used is hard clustering (single linkage, complete linkage, average linkage, ward's method and k-means) and soft clustering (Fuzzy C-Means). The most optimal method for grouping regencies or cities in West Java Province is the complete linkage method with a total of 4 clusters. The result is that all the resulting clusters are vulnerable to the characteristics of social vulnerability.

Keywords: cluster analysis; hard clustering; natural disasters; regional vulnerability; soft clustering.

References

Badan Nasional Penanggulangan Bencana, Risiko Bencana Indonesia. Jakarta, Indonesia: BNPB, 2016.

United Nations International Strategy for Disaster Reduction (UNISDR), United Nations Report, 2009.

Badan Pusat Statistik Provinsi Jawa Barat, Statistik Daerah Provinsi Jawa Barat 2022. Bandung, Indonesia: BPS Jabar, 2022.

F. Taghizadeh-Hesary, T. Sarker, N. Yoshino, A. Mortha, and X. V. Vo, “Quality infrastructure and natural disaster resiliency: A panel analysis of Asia and the Pacific,” Econ. Anal. Policy, vol. 69, pp. 394–406, 2021, doi: 10.1016/j.eap.2020.12.021.

T. H. Siagian and N. B. Parwanto, Mengukur Risiko dan Kerentanan Bencana pada Skala Lokal di Indonesia melalui Downscaling World Risk Index. 2017.

BNPB and Bappenas, Rencana Induk Penanggulangan Bencana 2015-2045, 2018.

BNPB, IRBI Indeks Risiko Bencana Indonesia Tahun 2021. Jakarta, Indonesia: BNPB, 2021.

S. Jeong and D. K. Yoon, “Examining vulnerability factors to natural disasters with a spatial autoregressive model: The case of south Korea,” Sustain., vol. 10, no. 5, pp. 1–13, 2018, doi: 10.3390/su10051651.

S. L. Cutter, “Vulnerability to hazards,” Prog. Hum. Geogr., vol. 20, no. 4, pp. 529–539, 1996.

M. C. Schmidtlein, J. M. Shafer, M. Berry, and S. L. Cutter, “Modeled earthquake losses and social vulnerability in Charleston , South Carolina,” Appl. Geogr., vol. 31, no. 1, pp. 269–281, 2011, doi: 10.1016/j.apgeog.2010.06.001.

S. L. Cutter, B. J. Boruff, and W. L. Shirley, “Social vulnerability to environmental hazards,” Social Science Quarterly, vol. 84, no. 2, pp. 242-261, 2003, https://doi.org/10.1111/1540-6237.8402002.

T. H. Siagian, P. Purhadi, S. Suhartono, and H. Ritonga, “Social vulnerability to natural hazards in Indonesia: Driving factors and policy implications,” Nat. Hazards, vol. 70, no. 2, pp. 1603–1617, 2014, doi: 10.1007/s11069-013-0888-3.

H. D. Pangestu, A. D. Putra, and A. Syah, “Analisis indeks risiko dan potensi kebencanaan (studi untuk wilayah Kabupaten Lampung Tengah),” J. Rekayasa Sipil …, vol. 9, no. 3, pp. 481–490, 2021, [Online]. Available: http://repository.lppm.unila.ac.id/id/eprint/36857

Y. T. Wijaya and I. T. Halim, “Measuring and profiling social vulnerability to natural disaster in Indonesia in 2019,” J. Mat. Stat. dan Komputasi, vol. 19, no. 1, pp. 183–194, 2022, doi: 10.20956/j.v19i1.21686.

Y. N. Maharani, A. R. B. Nugroho, D. F. Adiba, and I. Sulistiyowati, “Pengaruh kerentanan sosial terhadap ketangguhan masyarakat dalam menghadapi bencana erupsi Gunung Merapi di Kabupaten Sleman,” J. Dialog Penanggulangan Bencana, vol. 11, no. 1, pp. 1–12, 2020, [Online]. Available: https://www.bnpb.go.id/jurnal/jurnal-dialog-penanggulangan-bencana-vol-11-no-1-tahun-2020

S. Rufat, “Spectroscopy of urban vulnerability,” Ann. Assoc. Am. Geogr., vol. 103, no. 3, pp. 505–525, 2013, doi: 10.1080/00045608.2012.702485.

M. Habibi and I. Buchori, “Model spasial kerentanan sosial ekonomi dan kelembagaan terhadap bencana Gunung Merapi,” Teknik PWK (Perencanaan Wilayah Kota), vol. 2, no. 1, pp. 1–10, 2013, https://doi.org/10.14710/tpwk.2013.1402.

S. L. Cutter and C. Finch, “Temporal and spatial changes in social vulnerability to natural hazards,” Plan. Clim. Chang. A Read. Green Infrastruct. Sustain. Des. Resilient Cities, vol. 105, no. 7, pp. 2301–2306, 2008, doi: 10.4324/9781351201117-16.

Y. W. Rabby, B. Hossain, and M. U. Hasan, “Social vulnerability in the coastal region of Bangladesh: An investigation of social vulnerability index and scalar change effects,” Int. J. Disaster Risk Reduct., p. 101329, 2019, doi: 10.1016/j.ijdrr.2019.101329.

K. F. Dintwa, G. Letamo, and K. Navaneetham, “Measuring social vulnerability to natural hazards at the district level in Botswana,” Jamba J. Disaster Risk Stud., vol. 11, no. 1, pp. 1–11, 2019, doi: 10.4102/JAMBA.V11I1.447.

K. Songwathana, “The relationship between natural disaster and economic development: a panel data analysis,” Procedia Eng., vol. 212, no. 2017, pp. 1068–1074, 2018, doi: 10.1016/j.proeng.2018.01.138.

S. Irmayani, Z. Azhar, and M. R. Adry, “Pengaruh faktor ekonomi, sosial ekonomi dan iklim terhadap bencana alam di Indonesia,” Jurnal Ecogen, vol. 1, no. 3, pp. 1–13, 2018, doi: http://dx.doi.org/10.24036/jmpe.v1i3.5023

A. L. Nugraha, M. Awaluddin, A. Sukmono, and N. Wakhidatus, “Pemetaan dan penilaian kerentanan bencana alam di Kabupaten Jepara berbasis sistem informasi geografis,” Geoid, vol. 17, no. 2, p. 185, 2022, doi: 10.12962/j24423998.v17i2.9370.

Y. Zhou, N. Li, W. Wu, J. Wu, and P. Shi, “Local Spatial and Temporal Factors Influencing Population and Societal Vulnerability to Natural Disasters,” Risk Anal, vol. 34, no. 4, pp. 614–639, 2014, doi: 10.1111/risa.12193.

C. H. T. Watung, R. L. E. Sela, and L. Tondobala, “Tingkat ketangguhan dan ketahanan Kota Manado terhadap bencana,” J. Perenc. Wil. dan Kota, vol. 5, 2018, doi: 10.5614/jpwk.2014.25.1.1.

A. Djuraidah, “Indeks kerentanan sosial ekonomi untuk bencana alam di Indonesia,” Pros. Semin. Nas. Mat. dan Pendidik. Mat., 2009.

Perka BNPB, Peraturan Kepala Badan Nasional Penanggulangan Bencana Nomor 02 Tahun 2012 Tentang Pedoman Umum Pengkajian Risiko Bencana. 2012, pp. 1–67. [Online]. Available: https://www.bnpb.go.id/uploads/24/peraturan-kepala/2012/perka-2-tahun-2012-tentang-pedoman-umum-pengkajian-resiko-bencana.pdf

I. Schumacher and E. Strobl, “Economic development and losses due to natural disasters: The role of hazard exposure,” Ecol. Econ., vol. 72, pp. 97–105, 2011, doi: 10.1016/j.ecolecon.2011.09.002.

G. Barone and S. Mocetti, “Natural disasters, growth and institutions: A tale of two earthquakes,” J. Urban Econ., vol. 84, pp. 52–66, 2014, doi: 10.1016/j.jue.2014.09.002.

H. Wu, M. Huang, Q. Tang, D. B. Kirschbaum, and P. Ward, “Hydrometeorological hazards: monitoring, forecasting, risk assessment, and socioeconomic responses,” Adv. Meteorol., vol. 2016, pp. 11–14, 2016, doi: 10.1155/2016/2367939.

K. Mosby, T. Birch, A. Moles, and K. E. Cherry, “Disasters,” Handb. Rural Aging, pp. 111–115, 2021, doi: 10.7591/9781501701498-008.

S. L. Cutter, J. T. Mitchell, and M. S. Scott, “Revealing the vulnerability of people and places : a case study of Georgetown County, South Carolina,” vol. 90, no. 4, pp. 713–737, 2000.

L. Clare and B. P. Weninger, “Social and biophysical vulnerability of prehistoric societies to rapid climate change,” Doc. Praehist., vol. 37, no. 1, pp. 283–292, 2011, doi: 10.4312/dp.37.24.

R. A. Johnson and D. W. Wichern, Applied Multivariate Statistical Analysis (6th ed.). 2007.

S. Pramana, B. Yuniarto, S. Mariyah, I. Santoso, and R. Nooraeni, Data mining dengan R Konsep Serta Implementasi. Jakarta: IN MEDIA, 2018.

A. Ramadhan, K. Prawita, M. A. Izzudin, and G. Amandha, “Analisis strategi dan klasterisasi ketahanan pangan nasional dalam menghadapi pandemi covid-19,” Teknol. Pangan Media Inf. dan Komun. Ilm. Teknol. Pertan., vol. 12, no. 1, pp. 110–122, 2021, doi: 10.35891/tp.v12i1.2179.

J. Han, J. Pei, and H. Tong, Data Mining: Concepts and Techniques, 4th Ed. Cambridge, MA, US: Morgan Kaufmann publications, 2022.

N. Thamrin and A. W. Wijayanto, “Comparison of soft and hard clustering: a case study on welfare level in cities on Java Island,” Indones. J. Stat. Its Appl., vol. 5, no. 1, pp. 141–160, 2021, doi: 10.29244/ijsa.v5i1p141-160.

J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis, 7th ed. Upper Saddle River, NJ, USA: Pearson Prentice Hall, 2010.

B. Balasko, J. Abonyi, and B. Feil, Fuzzy Clustering and Data Analysis Toolbox For Use with Matlab. Veszprem: Department of Process Engineering University of Veszprem, 2005.

Hanniva, A. Kurnia, S. Rahardiantoro, and A. A. Mattjik, “Penggerombolan kabupaten/kota di Indonesia berdasarkan indikator indeks pembangunan manusia menggunakan metode K-Means dan Fuzzy C-Means,” Xplore J. Stat., vol. 11, no. 1, pp. 36–47, 2022, doi: 10.29244/xplore.v11i1.855.

J. C. Bezdek, R. Ehrlich, and W. Full, “FCM: the fuzzy c-means clustering algorithm,” Comput. Geosci., vol. 10, no. 2–3, pp. 191–203, 1984, doi: 10.1109/igarss.1988.569600.

K.-L. Wu, “Analysis of parameter selections for fuzzy c-means,” Pattern Recognit., vol. 45, no. 1, pp. 407–415, 2012, doi: 10.1016/j.patcog.2011.07.012.

U. Syafiyah, D. P. Puspitasari, I. Asrafi, B. Wicaksono, and F. M. Sirait, “Analisis perbandingan hierarchical dan non-hierarchical clustering pada data indikator ketenagakerjaan di Jawa Barat tahun 2020,” Semin. Nas. Off. Stat., vol. 2022, no. 1, pp. 803–812, 2022, doi: 10.34123/semnasoffstat.v2022i1.1221.

Badan Penanggulangan Bencana Daerah Provinsi Jawa Barat, Rekapitulasi Kejadian Bencana di Wilayah Provinsi Jawa Barat. Bandung, Indonesia: BPBD Jabar, 2021.

DOI: https://doi.org/10.13057/ijas.v8i1.80562

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