Multi-Parameter Flood Hazard Assessment Using a Spatial Approachin Demak Regency

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DOI:

https://doi.org/10.23960/jpg.v14.i1.81

Keywords:

Spatial Approach, Demak Regency, Flood, Hazard

Abstract

Flood is a frequent hydrometeorological disaster in Indonesia, and Demak Regency is highly vulnerable due to its coastal and lowland characteristics. This study analyzes flood hazard levels using Geographic Information Systems (GIS) with six parameters: slope, elevation, rainfall, soil type, land use, and river buffer. Weighted overlay was applied to classify hazard zones. Results show that 74% of the area is highly vulnerable, 23% vulnerable, and only 2% not vulnerable. The highest risk occurs in coastal sub-districts such as Wedung, Sayung, Bonang, and Karanganyar, influenced by flat slopes, very low elevation, high rainfall, and land use dominated by rice fields, ponds, and settlements. Meanwhile, southern areas like Karangawen and Mranggen are relatively safer due to higher elevation and undulating topography. It is concluded that flood vulnerability in Demak is driven by multiple physical and environmental factors, requiring integrated mitigation through drainage improvement and land use management.

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References

Ahmed, U. M. (2024). Floods and Climate Change: An Impact on Women and Child Health. Pakistan Journal of Public Health, 13(4), 146–147. https://doi.org/10.32413/pjph.v13i4.1325

Aksha, S. K., Resler, L. M., Juran, L., & Carstensen, L. W. (2020). A geospatial analysis of multi-hazard risk in Dharan, Nepal. Geomatics, Natural Hazards and Risk, 11(1), 88–111. https://doi.org/10.1080/19475705.2019.1710580

Alfarisi Handifa, M., Laila Nugraha, A., & Sasmito, B. (2023). APLIKASI WEBGIS ANCAMAN BENCANA BANJIR DI KECAMATAN SAYUNG, KABUPATEN DEMAK. Jurnal Geodesi Undip Januari.

Arga Himawan, R., Sawitri Subianto, I., Sugiastu Firdaus, H., Kunci, K., Luas, P., & batas, S. (2019). ANALISIS KARAKTERISTIK SEGMEN BATAS ADMINISTRASI DESA SECARA KARTOMETRIK (STUDI KASUS : KABUPATEN DEMAK, KABUPATEN SEMARANG). In Jurnal Geodesi Undip Januari (Vol. 8).

Ashfaq, S., Tufail, M., Niaz, A., Muhammad, S., Alzahrani, H., & Tariq, A. (2025). Flood susceptibility assessment and mapping using GIS-based analytical hierarchy process and frequency ratio models. Global and Planetary Change, 251. https://doi.org/10.1016/j.gloplacha.2025.104831

Aulia Rahman, F. (2024). Mapping Hydrometeorological Disaster Hazards of Landslides as an Effort to Build Regional Resilience in Banten Province. 12, 233–246. https://doi.org/10.23960/jpg

Banjara, M., Bhusal, A., Ghimire, A. B., & Kalra, A. (2024). Impact of Land Use and Land Cover Change on Hydrological Processes in Urban Watersheds: Analysis and Forecasting for Flood Risk Management. Geosciences (Switzerland), 14(2). https://doi.org/10.3390/geosciences14020040

Benardi, A. I., Sumarmi, Budijanto, Bachri, S., Rahman, A.-U., & Wulandari, F. (2023). Disaster Preparedness in Proximity of Merapi Volcano, Indonesia: Is There Any Relationship in Knowledge and Attitude of Senior High School Students? International Journal of Safety and Security Engineering, 13(2), 245–254. https://doi.org/10.18280/ijsse.130207

Benardi, A. I., Sumarmi, S., Bachri, S., Suharini, E., Rahman, A. U., Sriyono, S., Amin, S., & Yametis, J. V. G. (2025). Student’s disaster preparedness of Merapi Volcano, Indonesia using Learning Simulation Virtual Reality (LSVR) Model. Jurnal Pendidikan Geografi: Kajian, Teori, Dan Praktek Dalam Bidang Pendidikan Dan Ilmu Geografi, 30(1). https://doi.org/10.17977/2527-628x.1181

Bennett, W. G., Karunarathna, H., Xuan, Y., Kusuma, M. S. B., Farid, M., Kuntoro, A. A., Rahayu, H. P., Kombaitan, B., Septiadi, D., Kesuma, T. N. A., Haigh, R., & Amaratunga, D. (2023). Modelling compound flooding: a case study from Jakarta, Indonesia. Natural Hazards, 118(1), 277–305. https://doi.org/10.1007/s11069-023-06001-1

BNPB. (2024). Data Kejadian banjir di Indonesia Tahun 2024.

BPBD Kab.Demak. (2024). Laporan kejadian banjir Kabupaten Demak tahun 2024. Demak: BPBD Kabupaten Demak.

BPS. (2025). Badan Pusat Statistik. 2025. Demak Dalam Angka tahun 2025. Demak: Badan Pusat Statistik .

Bullen, J., & Miles, A. (2024). Exploring local perspectives on flood risk: A participatory GIS approach for bridging the gap between modelled and perceived flood risk zones. Applied Geography, 163. https://doi.org/10.1016/j.apgeog.2023.103176

Chrysanti, A., Adhani, A., Azkiarizqi, I. N., Adityawan, M. B., Kusuma, M. S. B., & Cahyono, M. (2024). Assessing Compound Coastal–Fluvial Flood Impacts and Resilience Under Extreme Scenarios in Demak, Indonesia. Sustainability (Switzerland), 16(23). https://doi.org/10.3390/su162310315

Costache, R., Barbulescu, A., & Pham, Q. B. (2021). Integrated framework for detecting the areas prone to flooding generated by flash-floods in small river catchments. Water (Switzerland), 13(6). https://doi.org/10.3390/w13060758

Dano, U. L., Balogun, A. L., Matori, A. N., Yusouf, K. W., Abubakar, I. R., Mohamed, M. A. S., Aina, Y. A., & Pradhan, B. (2019). Flood susceptibility mapping using GIS-based analytic network process: A case study of Perlis, Malaysia. Water (Switzerland), 11(3). https://doi.org/10.3390/w11030615

Devi, K., Reddy, C. C., Rahul, K., Khuntia, J. R., & Das, B. S. (2025). A holistic methodology for evaluating flood vulnerability, generating flood risk map and conducting detailed flood inundation assessment. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-13025-z

Gebremichael, A., Gebremariam, E., & Desta, H. (2025). GIS-based mapping of flood hazard areas and soil erosion using analytic hierarchy process (AHP) and the universal soil loss equation (USLE) in the Awash River Basin, Ethiopia. Geoscience Letters, 12(1). https://doi.org/10.1186/s40562-025-00382-w

Gul, M. U., Paul, A., Manimurugan, S., & Chehri, A. (2023). Hydrotropism: Understanding the Impact of Water on Plant Movement and Adaptation. In Water (Switzerland) (Vol. 15, Issue 3). MDPI. https://doi.org/10.3390/w15030567

Handyastono, B., Alghoul, M. A., Rizki, A., Djambek, N. P., Kusuma, M. S. B., Kuntoro, A. A., Harlan, D., Nugroho, E. O., Munthe, H. M., Hazmi, M., Wisanggeni, D. H., & Rizqy, M. A. (2025). Flood hazard assessment in Pemaluan Village due to land use change in IKN (Ibu Kota Nusantara) as the New Capital City of Indonesia. Case Studies in Chemical and Environmental Engineering, 11. https://doi.org/10.1016/j.cscee.2025.101211

Irmawati, V., Cahyono, O., Mujiyo, Maro’ah, S., Istiqomah, N. M., & Romadhon, M. R. (2023). Flood Susceptibility Index Analysis Using Overlay Method and GIS-based. JST (Jurnal Sains Dan Teknologi), 12(2). https://doi.org/10.23887/jstundiksha.v12i2.52737

Irwan Benardi, A., Hadi, J., Tia Ningrum, P., & Nur Hasna Khofifah, S. (2021). Simulation Learning Methods for Students’ Understanding of Flood Disaster Preparedness Materials.

Isma, F., Kusuma, M. S. B., Nugroho, E. O., & Adityawan, M. B. (2024). Flood hazard assessment in Kuala Langsa village, Langsa city, Aceh Province-Indonesia. Case Studies in Chemical and Environmental Engineering, 10. https://doi.org/10.1016/j.cscee.2024.100861

Kenranto, R. A., Hidayat, H., & Bioresita, F. (2024). Analisis Genangan Banjir Terhadap Penutup Lahan di Wilayah Tangerang Menggunakan Data Citra Sentinel-1 dan Sentinel-2. JGISE: Journal of Geospatial Information Science and Engineering, 7(1), 14. https://doi.org/10.22146/jgise.87579

Makawimbang, S. A., Andreas, Y., Langi, R., & Takaendengan, M. I. (2022). IJIDS (Indonesian Journal of Intelligence Data Science) PEMANFAATAN SISTEM INFORMASI GEOGRAFIS DAN ALGORITMA INTERPOLASI (KRIGING DAN IDW) BERBASIS KOMPUTASI DALAM PEMETAAN TINGKAT KERAWANAN LONGSOR ABSTRAKSI (Vol. 01, Issue 01). https://ejournal.unsrat.ac.id/v3/index.php/IJIDS/index

Manakane, S. E., Latue, E. C., & Rakuasa, C. (2023). Integrating Geospatial Technology in Learning: An Innovation to Improve Understanding of Geography Concepts. Sinergi International Journal of Education, 1(2), 60–74. https://journal.sinergi.or.id/

Newson, M., Lewin, J., & Raven, P. (2022). River science and flood risk management policy in England. Progress in Physical Geography, 46(1), 105–123. https://doi.org/10.1177/03091333211036384

Nguyen, H. N., Fukuda, H., & Nguyen, M. N. (2024). Assessment of the Susceptibility of Urban Flooding Using GIS with an Analytical Hierarchy Process in Hanoi, Vietnam. Sustainability (Switzerland) , 16(10). https://doi.org/10.3390/su16103934

Pasongli, H., Somantri, L., & Setiawan, I. (n.d.). Kalam Cendekia: Jurnal Ilmiah Kependidikan Pemanfaatan Pemetaan Wisata Pantai Kota Ternate sebagai Sumber Media Ajar Mata Kuliah Visualisasi Informasi Lanjut.

Rahman, M. S., Andriatmoko, N. D., Saeri, M., Subagio, H., Malik, A., Triastono, J., Oelviani, R., Kilmanun, J. C., Silva, H. da, Pesireron, M., Senewe, R. E., & Yusuf, Y. (2022). Climate Disasters and Subjective Well-Being among Urban and Rural Residents in Indonesia. Sustainability (Switzerland), 14(6). https://doi.org/10.3390/su14063383

Rahmawati, L. P., Artikel, S., Kunci, K., Pemetaan, :, Koresponden, P., Pengembangan, J., Islam, M., Dakwah, F., & Komunikasi, D. (2024). Pemetaan Kawasan Rawan Longsor Menggunakan Sistem Informasi Geografi (SIG) Berbasis Komunitas di Desa Kebonagung Kecamatan Sawahan Kabupaten Nganjuk INFO ARTIKEL ABSTRAK. 12, 64. https://doi.org/10.23960/jpg.v12.i1.28561

Ramayanti, S., Nur, A. S., Syifa, M., Panahi, M., Achmad, A. R., Park, S., & Lee, C. W. (2022a). Performance comparison of two deep learning models for flood susceptibility map in Beira area, Mozambique. Egyptian Journal of Remote Sensing and Space Science, 25(4), 1025–1036. https://doi.org/10.1016/j.ejrs.2022.11.003

Ramayanti, S., Nur, A. S., Syifa, M., Panahi, M., Achmad, A. R., Park, S., & Lee, C. W. (2022b). Performance comparison of two deep learning models for flood susceptibility map in Beira area, Mozambique. Egyptian Journal of Remote Sensing and Space Science, 25(4), 1025–1036. https://doi.org/10.1016/j.ejrs.2022.11.003

Rana, H., Mushtaq, T., & Anburaj, R. (2025). Impact of geofactors on landslide susceptibility using weighted overlay method: An integrated GIS and field-based analysis on NH-07, Chamoli, Uttarakhand. Geosystems and Geoenvironment, 4(4). https://doi.org/10.1016/j.geogeo.2025.100420

Romadhon, M. R., & Aziz, A. (2022). Determination of Flood Susceptibility Index Using Overlay-Scoring Data Method based on Geographic Information System (GIS) in Semarang City, Central Java, Indonesia. AgriHealth: Journal of Agri-Food, Nutrition and Public Health, 3(2), 104. https://doi.org/10.20961/agrihealth.v3i2.60451

Safiah Yusmah, M. Y., Bracken, L. J., Sahdan, Z., Norhaslina, H., Melasutra, M. D., Ghaffarianhoseini, A., Sumiliana, S., & Shereen Farisha, A. S. (2020). Understanding urban flood vulnerability and resilience: a case study of Kuantan, Pahang, Malaysia. Natural Hazards, 101(2), 551–571. https://doi.org/10.1007/s11069-020-03885-1

Savari, M., Jafari, A., & Sheheytavi, A. (2025). Determining factors affecting flood risk perception among local communities in Iran. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-88673-2

Segah, H., Liano, A., Yulianto, S., Yanciluk, dan, Kehutanan, J., & Pertanian, F. (2022). Analisis Tingkat Kerawanan Banjir Menggunakan Sistem Informasi Geografis Pada DAS Kahayan Kabupaten Gunung Mas. In Journal of Peat Science and Innovation (Vol. 1, Issue 1). https://earthexplorer.usgs.gov/

Shirzadi, A., Salvati, A., Tahan, M. H., Shahabi, H., Nodoushan, E. J., Ramezani, M., Hashim, M., & Clague, J. J. (2025). Urban flood susceptibility mapping using deep and machine learning algorithms as a management tool: A case study of Sanandaj City, Iran. Ecological Indicators, 178. https://doi.org/10.1016/j.ecolind.2025.113886

Shrestha, S., Dahal, D., Poudel, B., Banjara, M., & Kalra, A. (2025). Flood Susceptibility Analysis with Integrated Geographic Information System and Analytical Hierarchy Process: A Multi-Criteria Framework for Risk Assessment and Mitigation. Water (Switzerland), 17(7). https://doi.org/10.3390/w17070937

Silitonga, D. A., Lubis, R. P., Wilayah, M. P., & Kota, D. (2024). STUDI KOMPARASI PENGGUNAAN DAN PEMANFAATAN SOFTWARE SISTEM INFORMASI GEOGRAFIS (SIG) DALAM ANALISIS PENGGUNAAN LAHAN DAN KESESUAIAN LAHAN (Studi Kasus : Kawasan Perkotaan dan Perdesaan). Jurnal Teknovasi, 11, 19–33.

Sugianto, S., Deli, A., Miswar, E., Rusdi, M., & Irham, M. (2022). The Effect of Land Use and Land Cover Changes on Flood Occurrence in Teunom Watershed, Aceh Jaya. Land, 11(8). https://doi.org/10.3390/land11081271

Tabari, H., Hosseinzadehtalaei, P., Thiery, W., & Willems, P. (2021). Amplified Drought and Flood Risk Under Future Socioeconomic and Climatic Change. Earth’s Future, 9(10). https://doi.org/10.1029/2021EF002295

Tariq, A., Shu, H., Siddiqui, S., Imran, M., & Farhan, M. (2021). Monitoring land use and land cover changes using geospatial techniques, a case study of Fateh Jang, Attock, Pakistan. Geography, Environment, Sustainability, 14(1), 41–52. https://doi.org/10.24057/2071-9388-2020-117

Tian, P., Liu, Y., Li, J., Pu, R., Cao, L., Zhang, H., Ai, S., & Yang, Y. (2022). Mapping Coastal Aquaculture Ponds of China Using Sentinel SAR Images in 2020 and Google Earth Engine. Remote Sensing, 14(21). https://doi.org/10.3390/rs14215372

Tikuye, B. G., Ray, R. L., Abeysingha, N. S., & Gurau, S. (2025). Integrating multi-criteria decision analysis and geospatial data for flood susceptibility mapping in Texas, USA. Progress in Disaster Science, 28. https://doi.org/10.1016/j.pdisas.2025.100462

Van Kerkvoorde, M., Kellens, W., Verfaillie, E., & Ooms, K. (2018). Evaluation of web maps for the communication of flood risks to the public in Europe. International Journal of Cartography, 4(1), 49–64. https://doi.org/10.1080/23729333.2017.1371411

Varma, A. K., Dhote, A., Mathew, A., Naresh, C., & Shekar, P. R. (2025). Flood hazard zonation using remote sensing, geographic information system, and analytic hierarchy process in the Bhagirathi River Basin, Uttarakhand, India. Results in Earth Sciences, 3, 100105. https://doi.org/10.1016/j.rines.2025.100105

Varra, G., Della Morte, R., Tartaglia, M., Fiduccia, A., Zammuto, A., Agostino, I., Booth, C. A., Quinn, N., Lamond, J. E., & Cozzolino, L. (2024). Flood Susceptibility Assessment for Improving the Resilience Capacity of Railway Infrastructure Networks. Water (Switzerland), 16(18). https://doi.org/10.3390/w16182592

Verdyansyah, A., Chang, Y.-L., Wang, F.-C., Tsai, F., & Lin, T.-H. (2025). Integrating CMIP6 and Remote Sensing Datasets for Current and Future Flood Susceptibility Projections Using Machine Learning Under Climate Change Scenarios in Demak District for Future Sustainable Planning. Sustainability, 17(18), 8188. https://doi.org/10.3390/su17188188

Wei, P., Ye, H., Nie, C., Qin, M., Zhang, Y., Wang, H., Huang, S., & Liu, R. (2025). Evaluating the impact of crop waterlogging and flood disasters using multi-source data: a case study of the Sanjiang Plain. Climate Services, 39. https://doi.org/10.1016/j.cliser.2025.100596

Wulandari, T., Sihombing, V., Bangun, B., & Korespondensi, E. P. (2025). Pengembangan Sistem Informasi Geografis (SIG) untuk Manajemen Infrastruktur Perkotaan. Teknik Komputer Dan Teknologi Pendidikan, 4, 46–50. https://doi.org/10.55338/justikpen.v4i2.139

Yullia, L., & Herawati, H. (n.d.). PEMETAAN ZONA KERAWANAN BANJIR DESA WAJOK HILIR DAN KONSEP PENANGANANNYA.

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Published

2026-03-31

How to Cite

Multi-Parameter Flood Hazard Assessment Using a Spatial Approachin Demak Regency. (2026). Jurnal Penelitian Geografi, 14(1), 127-148. https://doi.org/10.23960/jpg.v14.i1.81

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