GIS Flood Prone Agricultural Land East Java Using Multi-Method Attribute Utility Theory
DOI:
https://doi.org/10.30812/matrik.v22i1.1511Keywords:
Flood; Agricultural land; Multi Attribute Utility Theory; GIS; Land area;Abstract
East Java has various regional conditions. The condition of the area certainly has the potential for disasters that have a significant impact on the agricultural sector. Flood is one of the factors that damage agricultural land. Flood risk management plays an important role in guiding the government in making timely and appropriate decisions for flood rescue and relief. The purpose of this research is a study of flood risk assessment in the agricultural sector in East Java using Multi Attribute Utility Theory. The Multi Attribute Utility Theory is used to solve problems related to spatial planning and disaster management because it is systematic and suitable for solving complex problems such as the agricultural sector. The results showed that the agricultural land areas in East Java with the category of very flood-prone include Bojonegoro, Lamongan, Tuban, and Sidoarjo Regencies. Furthermore, the results of this study were visualized by mapping flood risk using a GIS. This can be used for efforts in flood disaster management. This research is expected to assist policy making at the Department of Agriculture and Food Security in monitoring flood-prone agricultural land in order to minimize the occurrence of flood disasters in the agricultural sector.
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References
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Timsina, J., Wolf, J., Guilpart, N., Bussel, L. v., Grassini, P., Wart, J. v., . . . Ittersum, M. v. (2018). Can Bangladesh produce enough cereals to meet future demand? Agricultural Systems, 163, 36-44.
Xiao, Y., Yi, S., & College, Z. T. (2017). Integrated flood hazard assessment based on spatial ordered weighted averaging method considering spatial heterogeneity of risk preference. Science of the Total Environment, 599-600, 1034-1046.
Bala, B. K., Bhuiyan, M. G., Alam, M. M., Arshad, F. M., Sidique, S. F., & Alias, E. F. (2017). Modelling of supply chain of rice in Bangladesh. International Journal of Systems Science: Operations & Logistics, 4(2), 181-197.
BNPB, B. N. (2019). Rencana nasional penanggulangan bencana 2015-2019.
Dong, Y., Frangopol, D. M., & Sabatino, S. (2016). A Decision Support System for Mission-Based Ship Routing Considering Multiple Performance Criteria. Reliability Engineering and System Safety.
Fajirwan, D., Arhami, M., & Amalia, I. (2018). Sistem Pendukung Keputusan Penerimaan Bantuan Renovasi Rumah Dhuafa Menggunakan Metode Multi Attribute Utility Theory. jurnal Infomedia, 3(2), -.
Kailiponi, P. (2010). Analyzing evacuation decisions using multi-attribute utility theory (MAUT). Procedia Engineering.
Levy, J. K., Hartmann, J., Li, K. W., An, Y., & Asgary, A. (2007). Multi-Criteria Decision Support Systems for Flood Hazard Mitigation and Emergency Response in Urban Watersheds. JAWRA Journal of the American Water Resources Association, 43(2), 346-358.
Li, Q., Zhou, J., Liu, D., & Jiang, X. (2012). Research on flood risk analysis and evaluation method based on variable fuzzy sets and information diffusion. Safety Science, 20(5), 1275-1283.
Limbong, T., & Simarmata, J. (2020). Menentukan Matakuliah yang Efektif Belajar Daring (Belajar dan Ujian) dengan Metode Multi-Attribute Utility Theory (MAUT). Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 4(2), 370-376.
Luu, C., Meding, J. v., & Mojtahedi, M. (2019). Analyzing Vietnam's national disaster loss database for flood risk assessment using multiple linear regression-TOPSIS. International Journal of Disaster Risk Reduction, 40(August 2018), 101153.
Medeiros, C., Alencar, M., & Almeida, A. d. (2017). Multidimensional risk evaluation of natural gas pipelines based on a multicriteria decision model using visualization tools and statistical tests for global sensitivity analysis. Reliability Engineering and System Safety, 165(April), 268-276.
Naylor, R. L., Battisti, D. S., Vimont, D. J., Falcon, W. P., & Burke, M. B. (2007). Assessing risks of climate variability and climate change for Indonesian rice agriculture. Procedings of the National Academy of Sciences of the United States of America, 104(19).
Niang, A., Becker, M., Ewert, F., Dieng, I., Gaiser, T., Tanaka, A., . . . Bami, R. K. (2017). Variability and determinants of yields in rice production systems of West Africa. Field Crops Research, 207, 1-12.
Nurdiawan, O., & Putri, H. (2014). Pemetaan daerah rawan banjir berbasis sistem informasi geografis dalam upaya mengoptimalkan langkah antisipasi bencana. Infotech Journal, 4(2), 1-9.
Nuryanti, J. T., & Warsito, A. (2018). Pemetaan Daerah Rawan Banjir Dengan Penginderaan Kupang Timur Kabupaten Kupang Provinsi Nusa Tenggara Timur. Jurnal Fisika, 3(1), 73-79.
Olayide, O. E., Tetteh, I. K., & Popoola, L. (2016). Differential impacts of rainfall and irrigation on agricultural production in Nigeria: Any lessons for climate-smart agriculture? Agricultural Water Management, 178, 30-36.
Oort, P. V., Saito, K., Tanaka, A., Amovin-Assagba, E., Bussel, L. V., Wart, J. V., . . . Wopereis, M. (2015). Assessment of rice self-sufficiency in 2025 in eight African countries. Global Food Security, 5, 39-49.
Pergher, I., & Universidade, A. T. (2018). A multi-attribute , rank-dependent utility model for selecting dispatching rules. Journal of Manufacturing Systems, 46, 264-271.
Silva, L. B., Humberto, J. S., Alencar, M. H., Ferreira, R. J., & Almeida, A. T. (2020). GIS-based multidimensional decision model for enhancing flood risk prioritization in urban areas. International Journal of Disaster Risk Reduction.
Stuart, A. M., Devkota, K. P., Sato, T., Pame, A. R., Balingbing, C., Phung, N. T., . . . Singleton, G. R. (2018). On-farm assessment of different rice crop management practices in the Mekong Delta, Vietnam, using sustainability performance indicators. Field Crops Research, 229(October), 103-114.
Timsina, J., Wolf, J., Guilpart, N., Bussel, L. v., Grassini, P., Wart, J. v., . . . Ittersum, M. v. (2018). Can Bangladesh produce enough cereals to meet future demand? Agricultural Systems, 163, 36-44.
Xiao, Y., Yi, S., & College, Z. T. (2017). Integrated flood hazard assessment based on spatial ordered weighted averaging method considering spatial heterogeneity of risk preference. Science of the Total Environment, 599-600, 1034-1046.
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Published
2022-11-17
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Articles
How to Cite
[1]
M. R. Aprillya and U. Chasanah, “GIS Flood Prone Agricultural Land East Java Using Multi-Method Attribute Utility Theory”, MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 22, no. 1, pp. 117–128, Nov. 2022, doi: 10.30812/matrik.v22i1.1511.
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