ZONASI WILAYAH RAWAN BANJIR SUB DAS WAY KANDIS HULU DENGAN PENDEKATAN GEOSPASIAL
DOI:
https://doi.org/10.51988/jtsc.v7i1.461Keywords:
Flood hazard, Watershed, GeospatialAbstract
The land used in Bandar Lampung City has changed significantly. Bandar Lampung City has experienced flooding issues for the last five years. In order to anticipate and lessen the effects of flood disasters, maps identifying locations that was prone to flooding were created as an early warning system. This study aims to map the degree of flood risk in the Way Kandis Hulu Sub-watershed area and zoning areas according to flood vulnerability. The geospatial method used to create this map includes the division of flood vulnerability class intervals, flood vulnerability level zoning analysis, meteorological thematic maps, flood variables that were scored and weighted, an overlay process, and watershed features that contribute to flooding. The Way Kandis Hulu Sub-watershed's level of flood susceptibility was classified as low, medium, and high based on the analysis, which showed that the value interval for the flood vulnerability class reached 150. According to the analysis, Rajabasa District received the highest score for flood vulnerability, covering an area of 3.2153 km2, or 41.30% of the Way Kandis Hulu Sub-DAS's total area. The high Risc zone has the highest level of flood vulnerability, with an area of 7.7585 km2 (99.66%).
References
Adityawan, M. B., Rianto, A., Afif, F., Indrawanto, Farid, M., Kuntoro, A. A., Widyaningtias, Kardhana, H., Yakti, B. P., & Kusumastuti, D. (2024). Design of Automatic Flood Control System in Kulon Progo, Special Region of Yogyakarta, Indonesia. Results in Engineering, 23(May), 102620. https://doi.org/10.1016/j.rineng.2024.102620
Arvi, M. D., Sibarani, R. S. Y., Tanjung, Y. I., & Fairuz, T. (2025). Analisis Faktor Penyebab Bencana Banjir di Kota-Kota Besar Indonesia Studi Kasus Analisis Banjir Berbasis Literasi. Indonesian Journal of Emerging Trends in Community Empowerment, 3(1), 1–8. https://doi.org/https://doi.org/10.71383/ijetce.v3i1.70
Bandaso, D. L., & Soebagio, S. (2024). Studi Banjir di Wilayah Simomulyo. Axial?: Jurnal Rekayasa Dan Manajemen Konstruksi, 12(3), 171. https://doi.org/10.30742/axial.v12i3.4025
Bott, L. M., Schöne, T., Illigner, J., Haghshenas Haghighi, M., Gisevius, K., & Braun, B. (2021). Land subsidence in Jakarta and Semarang Bay – The relationship between physical processes, risk perception, and household adaptation. Ocean and Coastal Management, 211. https://doi.org/10.1016/j.ocecoaman.2021.105775
Chen, Y. ping, Fu, B. jie, Zhao, Y., Wang, K. bo, Zhao, M. M., Ma, J. fu, Wu, J. H., Xu, C., Liu, W. gang, & Wang, H. (2020). Sustainable development in the Yellow River Basin: Issues and strategies. Journal of Cleaner Production, 263. https://doi.org/10.1016/j.jclepro.2020.121223
Dewi, R. S., & Bijker, W. (2020). Dynamics of shoreline changes in the coastal region of Sayung, Indonesia. Egyptian Journal of Remote Sensing and Space Science, 23(2), 181–193. https://doi.org/10.1016/j.ejrs.2019.09.001
Fiori, A., Mancini, C. P., Annis, A., Lollai, S., Volpi, E., Nardi, F., & Grimaldi, S. (2023). The role of residual risk on flood damage assessment: A continuous hydrologic-hydraulic modelling approach for the historical city of Rome, Italy. Journal of Hydrology: Regional Studies, 49. https://doi.org/10.1016/j.ejrh.2023.101506
Kuswadi, D., Zulkarnain, I., & Suprapto. (2014). Tampilan Identifikasi Wilayah Rawan Banjir Kota Bandar Lampung Dengan Aplikasi Sistem Informasi Geografis (SIG). TekTan Jurnal Ilmiah Teknik Pertanian, 6(1), 22.
Li, P., Wang, D., Li, W., & Liu, L. (2022). Sustainable water resources development and management in large river basins: an introduction. Environmental Earth Sciences, 81(6), 1–11. https://doi.org/10.1007/s12665-022-10298-9
Liu, J., Zhao, X., Chen, Y., Sun, H., Gu, Y., & Xu, S. (2025). A novel flood conditioning factor based on topography for flood susceptibility modeling. Geoscience Frontiers, 16. https://doi.org/https://doi.org/10.1016/j.gsf.2024.101960
Moustakidis, I., Schilling, K., & Weber, L. (2024). Soil texture and vegetation root density assessment on regulating erosion across river fl oodplains. International Journal of Sediment Research, 39, 855–867. https://doi.org/https://doi.org/10.1016/j.ijsrc.2024.06.004
Nugroho, D. A., & Handayani, W. (2021). Kajian Faktor Penyebab Banjir dalam Perspektif Wilayah Sungai: Pembelajaran Dari Sub Sistem Drainase Sungai Beringin. Jurnal Pembangunan Wilayah Dan Kota, 17(2), 119–136. https://doi.org/10.14710/pwk.v17i2.33912
Pratama, J. P., & Darmawan, Y. (2025). Analisis Pola Sebaran Spasial Curah Hujan di Provinsi Jawa Tengah Menggunakan Metode Poligon Thiessen untuk Mitigasi Bencana Banjir. Sainteks, 22(1), 23–28. https://doi.org/10.30595/sainteks.v22i1.25602
Primayuda, A. (2006). Pemetaan Daerah Rawan dan Resiko Banjir Menggunakan Informasi Geografis (Studi Kasus Kabupaten Trenggalek, Provinsi Jawa Timur). Institut Pertanian Bogor.
Purnama, A. (2008). Pemetaan Kawasan Rawan Banjir di Daerah Aliran Sungai Cisadane Menggunakan Sistem Informasi Geografis. Institut Pertanian Bogor.
Renggono, F., Lestari, S., Belgaman, H. A., Syahdiza, R., Dewi, S., Mori, S., Riawan, E., Mulyana, E., Syamsudin, F., Sulistyowati, R., Nurdiansyah, N., Budianto, B., & Harsoyo, B. (2025). Rainfall microphysical characteristics observed in the Jakarta flood events. Scientific Reports, 15(33879), 1–14. https://doi.org/https://doi.org/10.1038/s41598-025-08328-0
Rizki, S. D. (2012). Analisis Kapasitas Simpan Air di Wilayah Kampus IPB Dramaga, Bogor. Institut Pertanian Bogor.
Rizki, S. D., Idrus, M., Kuswadi, D., Bandar, K., Natar, K., Way, K., Selatan, L., & Way, S. (2024). Identification of Potential Flood Areas at Lampung State Polytechnic Campus using a Geospatial Approach. Jurnal Teknika Sains, 09(2). https://doi.org/https://doi.org/10.24967/teksis.v9i2.3540
Setiawan, H., Jalil, M., Enggi, M., Purwadi, F., Adios, C., Brata, A. W., & Syaful Jufda, A. (2020). Analysis of the Causes of Flooding in Samarinda City. Jurnal Geografi Gea, 20(1), 39–43. https://doi.org/https://doi.org/10.17509/gea.v20i1.22021.g11792
Simons, G., Droogers, P., Contreras, S., Sieber, J., & Bastiaanssen, W. (2020). Virtual tracers to detect sources ofwater and track water reuse across a river basin. Water (Switzerland), 12(8). https://doi.org/10.3390/w12082315
Suwarman, R., Farid, M., Abdillah, M. R., Wahid, A. N., Hadi, T. W., Riawan, E., Fajary, F. R., Simanjuntak, Y., Azizah, S., Sirait, R., Adityawan, M. B., Roesbianto, A. S. B., Javas, J., & Pinem, F. (2025). Development of probabilistic flood forecast based on ensemble weather forecast and historical flood simulation database for resource-constrained area. Case study: Semarang City, Indonesia. Environmental Challenges, 21(March), 101308. https://doi.org/10.1016/j.envc.2025.101308
Taryana, A., El Mahmudi, M. R., & Bekti, H. (2022). Analisis Kesiapsiagaan Bencana Banjir Di Jakarta. JANE - Jurnal Administrasi Negara, 13(2), 302. https://doi.org/10.24198/jane.v13i2.37997
Tyas, T. H., Sutisna, S., Supriyatno, M., Maarif, S., & Fikri, A. F. (2021). Penanganan Bencana Banjir di Kota Kediri Melalui Mitigasi Non-Struktural Guna Mendukung Keamanan Insani. Jurnal Pembangunan Wilayah Dan Kota, 18(2), 178–191. https://doi.org/10.14710/pwk.v18i2.35564
Utomo, W. Y. (2004). Pemetaan Kawasan Berpotensi Banjir di DAS Kaligarang Semarang dengan Menggunakan Sistem Informasi Geografis. In Bogor: Fakultas Pertanian, Institut Pertanian Bogor. Institut Pertanian Bogor.
Yang, M., Xu, J., Yin, D., He, S., Zhu, S., & Li, S. (2022). Modified Multi–Source Water Supply Module of the SWAT–WARM Model to Simulate Water Resource Responses under Strong Human Activities in the Tang–Bai River Basin. Sustainability (Switzerland), 14(22). https://doi.org/10.3390/su142215016
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Jurnal Teknik Sipil Cendekia (JTSC)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
