* Corresponding Author
Flood Disaster Risk Model in Karawang Regency's Industrial Area, West Java Province, Indonesia
https://doi.org/10.22146/ijg.69027 Aruminingsih Aruminingsih(1*), Dwi Nowo Martono(2), Tri Edhi Budhi Soesilo(3), Rudy Parluhutan Tambunan(4)
(1) School of Environmental Science, University of Indonesia, Indonesia
(2) School of Environmental Science, University of Indonesia, Indonesia
(3) School of Environmental Science, University of Indonesia, Indonesia
(4) School of Environmental Science, University of Indonesia, Indonesia
(*) Corresponding Author
Abstract
Telukjambe Barat and Telukjambe Timur Sub-Districts, Karawang Regency, have a high flood risk level due to changes in Land Use/Land Cover and the yearly occurrence of runoff water discharge. This research aims to analyze the rate and pattern of land-use change due to industrial development, examine the correlation of flood impacts with environmental-socio-economic factors, and develop a flood risk model in industrial areas. Data were collected through methods of system dynamics, remote sensing, geographic information system, questionnaire distribution, focus group discussions, and in-depth interviews with stakeholders. The results showed that floods in this regency are due to massive inland changes, such as the transition from vegetation and water bodies to industrial and residential areas and a strong relationship between environmental-social-economic factors. In other cases, areas with urban land conversion are likely to be flood-prone zones in places such as the Philippines, Belgium, and China. Based on the correlation test that has been conducted, the relationship with the highest level of closeness is the correlation between environmental factors and the impact of flooding, which has a value of 0.791. Therefore, the disaster risk model with an integrated spatial plan approach and an ecological perspective is an option for realizing sustainable development in industrial areas in Karawang Regency.
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Abdurachman, A. A. (2010). Perubahan penggunaan lahan pertanian menjadi daerah terbangun di Kabupaten Karawang tahun 1984 dan 2008. Skripsi, Universitas Indonesia. Accessed from http://lontar.ui.ac.id/detail?id=20181781&lokasi=lokal
Aderogba, KA. (2012). Qualitative Studies of Recent Floods and Sustainable Growth and Development of Cities and Towns in Nigeria. International Journal of Academic Research in Economics and Management Sciences, 1(3), 1-25.
Adipraja, P. F. E., & Sulistyo, D. A. (2018). Pemodelan Sistem Dinamik untuk Prediksi Intensitas Hujan Harian di Kota Malang. Jurnal Ilmiah Teknologi Informasi Asia, 12(2), 137-146.
Ahmad, R. (2016). A Study of Relationship between Liquidity and Profitability of Standard Chartered Bank Pakistan: Analysis of Financial Statement Approach. Global Journal of Management and Business Research: C Finance, 16 (1), 77-82.
Amalia, I. R. (2015). Modeling of Land Use Change of Paddy Field in Karawang Regency Using Cellular Automata-Markov Chain (Doctoral dissertation, Bogor Agricultural University (IPB)).
Akbari, F. R. (2016). Evaluasi Pengaruh Koreksi Atmosferik Dalam Algoritma Untuk Perhitungan Total Suspended Solid Menggunakan Citra Satelit Landsat 8 (Doctoral dissertation, Institut Teknologi Sepuluh Nopember Surabaya).
Badan Penanggulangan Bencana Daerah (BPBD) Karawang. (2021). Data Kejadian Banjir 2014 – 2020.
Badan Pusat Statistik (BPS). (2017). Kabupaten Karawang Dalam Angka 2017. https://karawangkab.bps.go.id/publication/2017/08/17/258839c82b4aaf001be0f08f/kabupaten-karawang-dalam-angka-2017.html
Chen, Y., Liu, R., Barrett, D., Gao, L., Zhou, M., Renzullo, L., & Emelyanova, I. (2015). A spatial assessment framework for evaluating flood risk under extreme climates. Science of the Total Environment, 538, 512-523.
Cooley, A., & Chang, H. (2017). Precipitation intensity trend detection using hourly and daily observations in Portland, Oregon. Climate, 5(1), 10.
Ekadinata, A., Dewi, S., Hadi, D., Nugroho, D., & Johana, F. (2008). Sistem informasi geografis untuk pengelolaan bentang lahan berbasis sumber daya alam. World Agroforestry Centre: Bogor.
Eriyatno. (2012). Ilmu Sistem: Meningkatkan Mutu dan Efektivitas Manajemen. Bogor (ID): IPB Press.
Dachlan, D., & Rosmarini, N. (2016). Karawang Tantangan Si Lumbung Padi. http://citarum.org/info-citarum/berita-artikel/1046-karawang-tantangan-si-lumbung-padi.html
Faisol, A. (2009). Identifikasi dan klasifikasi peruntukan lahan menggunakan Citra ASTER. Media Teknik Sipil. (IX):1 – 8.
GISGeography. (2021). Landsat 8 Bands and Band Combinations. Accessed on 7th January 2021, from https://gisgeography.com/landsat-8-bands-combinations/
Guan, D., Li, H., Inohae, T., Su, W., Nagaie, T., & Hokao, K. (2011). Modeling urban land use change by the integration of cellular automaton and Markov model. Ecological modelling, 222(20-22), 3761-3772.
Hadi, A. (2019). Model Dinamik Pengembangan Kawasan Industri Berkelanjutan Di Wilayah Perkotaan Gresik Jawa Timur (Doctoral dissertation, Universitas Brawijaya).
Irene, P. L. (2015). Farmland conversion in Karawang, Indonesia: discourse analysis. Faculty of Bioscience Engineering, Universiteit Gent.
Janti, N. (2019). Lumbung Padi yang Jadi Kawasan Industri. https://historia.id/ekonomi/articles/lumbung-padi-yang-jadi-kawasan-industri-PdlMk/page/1
Japan International Cooperation Agency (JICA). (2015). Natural Disaster Risk Assessment and Area Business Continuity Plan Formulation for Industrial Agglomerated Areas in the ASEAN Region. Country Report.
Johnson, B. A., Estoque, R. C., Li, X., Kumar, P., Dasgupta, R., Avtar, R., & Magcale-Macandog, D. B. (2021). High-resolution urban change modeling and flood exposure estimation at a national scale using open geospatial data: A case study of the Philippines. Computers, Environment and Urban Systems, 90, 101704.
Lembaga Penerbangan dan Antariksa Nasional (LAPAN). (2015). Pedoman Pengolahan Data Satelit Multispektral Secara Digital Supervised Untuk Klasifikasi. Jakarta: Pusat Pemanfatan Penginderaan Jauh Lembaga Penerbagnan dan Antariksa Nasional.
Liao, K.-H. (2012). A Theory on Urban Resilience to Floods—A Basis for Alternative Planning Practices. Ecology and Society, 17 (4).
Luo, K., & Zhang, X. (2022). Increasing urban flood risk in China over recent 40 years induced by LUCC. Landscape and Urban Planning, 219, 104317.
Mahmoud, S. H., & Gan, T. Y. (2018). Urbanization and climate change implications in flood risk management: Developing an efficient decision support system for flood susceptibility mapping. Science of the Total Environment, 636, 152-167.
Mileti, D. (1999). Disasters by design: A reassessment of natural hazards in the United States. Joseph Henry Press.
Mustafa, A., Bruwier, M., Archambeau, P., Erpicum, S., Pirotton, M., Dewals, B., & Teller, J. (2018). Effects of spatial planning on future flood risks in urban environments. Journal of environmental management, 225, 193-204.
Pandey, S. S., Cockfield, G., & Maraseni, T. N. (2013). Major drivers of deforestation and forest degradation in developing countries and REDD+. International Journal of Forest Usufructs Management, 14(1), 99-107.
Pielke, R. A., Bluestein, H. B., Enfield, D. B., Wells, N. C., Cenedese, C., Davies, R., Waggoner, P. E., Gentili, J., Lamb, H. H., Smith, P. J., Arnfield, A. J., Mason, B. J., Krishnamurti, T. N., Hayden, B. P., & Loewe, F. P. (2022). Atmospheric humidity and precipitation. Retrieved February 28, 2022, from https://www.britannica.com/science/climate-meteorology/Atmospheric-humidity-and-precipitation
Riadi, B. & Gaol, Y. A. L. (2018). Spatial Modeling of Flood Risk in Karawang. Advances in Science, Technology, and Engineering System Journal, 3(5): 200-206.
Sakti, B., & Ikhwan, J. (2019). Model Sistem Dinamik Ketersediaan Lahan Terbangun di Provinsi Bengkulu. J. Ekon. dan Kebijak. Publik, 2(2), 1-12.
Septiani, R., Citra, I. P. A., & Nugraha, A. S. A. (2019). Perbandingan metode supervised classification dan unsupervised classification terhadap penutup lahan di Kabupaten Buleleng. Jurnal Geografi: Media Informasi Pengembangan Dan Profesi Kegeografian, 16(2), 90-96.
Seto, K. C., Fragkias, M., Güneralp, B., & Reilly, M. K. (2011). A meta-analysis of global urban land expansion. PloS one, 6(8), e23777.
Setyowati, D., Munibah, K., & Hadi, S. (2015). Dinamika Perubahan Penggunaan Lahan Industri Kaitannya Dengan PDRB Sektor Industri di JABODETABEK. Jurnal Ilmu Tanah dan Lingkungan, 17(2), 83-89.
Siagian, F. (2011). Kajian Pelayanan Rute Transportasi Angkutan Kota dan Mobilitas Penduduk Menuju Pusat-pusat Pelayanan di Kota Karawang Provinsi Jawa Barat. Skripsi thesis, Universitas Muhammadiyah Surakarta.
Sopyan, A. (2014). Upaya Mempertahankan Kabupaten Karawang Sebagai Lumbung Padi Nasional. http://repository.unisba.ac.id/handle/123456789/228
Subiyanto, S., & Suprayogi, A. (2019). Modeling And Spatial Analysis Of Change Settlement And Fair Market Land Price Using Markov Chain Model In Banyumanik District. KnE Engineering, 278-290.
Suliman, S., & Setiawan, Y. (2022). Assessing the paddy fields conversion using optical satellite imageries: A case study in Karawang Regency, West Java. In IOP Conference Series: Earth and Environmental Science (Vol. 950, No. 1, p. 012092). IOP Publishing.
Tian, L., Ge, B., & Li, Y. (2017). Impacts of state-led and bottom-up urbanization on land use change in the peri-urban areas of Shanghai: Planned growth or uncontrolled sprawl?. Cities, 60, 476-486.
Twigg, J. (2015). Disaster Risk Reduction. (New Edition 2015). London: Humanitarian Policy Group.
Widiatmaka., Munibah, K., Firmansyah, I., & Santoso, P. B. K. (2013). Evaluasi Kesesuaian Lahan untuk Padi Sawah Menggunakan Automated Land Evaluation System di Sentra Produksi Padi Karawang Bagian Utara, Provinsi Jawa Barat. Prosiding Seminar Hasil-Hasil PPM IPB. (II):476-492.
DOI: https://doi.org/10.22146/ijg.69027
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