Pemodelan Spasial Genangan Banjir Rob, Studi Kasus: Pesisir Utara Banten (Kecamatan Kasemen)

Dhea Rahma Azhari; Della Ayu Lestari; Willdan Aprizal Arifin

doi:10.32663/georaf.v7i2.3201

Authors

Dhea Rahma Azhari Universitas Pendidikan Indonesia
Della Ayu Lestari Universitas Pendidikan Indonesia
Willdan Aprizal Arifin Universitas Pendidikan Indonesia

DOI:

https://doi.org/10.32663/georaf.v7i2.3201

Keywords:

equilibrium, spatial model, tidal flood

Abstract

The northern coast of Banten, especially Kasemen District, is an area with accessibility that is directly opposite the Java Sea and has a sloping topography so that it has vulnerability to the potential for tidal flooding. This certainly has a significant impact on community activities. It is impossible to avoid the risk of tidal flooding, but spatial distribution of land use can be carried out to produce information for policy makers. This study uses a Geographic Information System by utilizing spatial data to analyze tidal flood modeling through historical data scenarios of the worst tidal flood events for the last 3 years, as well as knowing the area of ??vulnerability land with tidal flood detection in the North Coast region of Banten. The spatial approach is carried out through data processing which is divided into several stages, including reassessment, as well as cropping DEMNAS data, rasterization, and carrying out a modeling process to produce a map of the tidal flood area using the equilibrium method. The results showed that the Kasemen District area with a 0.10 meter scenario might inundate an area of ??574.38 ha, a 0.15 meter scenario inundate an area of ??582.67 ha, a 0.20 meter scenario an area of ??591.28 ha, and with a 0.25 meter scenario it inundate an area of 598.49 ha.

Keywords: equilibrium, spatial model, tidal flood

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References

Ahmad, Taufiq. 2020. “Penggunaan Sistem Informasi Geografi Untuk Mencari Lokasi Yang Tepat Sebagai Penyimpanan Energi Hydro Terpompa.” Jurnal Georafflesia: Artikel Ilmiah Pendidikan Geografi 5(1):68–79. doi: 10.32663/georaf.v5i1.1226.
Ahmad, Taufiq Ejaz, Amien Rais, Dhea Rahma Azhari, Della Ayu Lestari, Wildan Aprizal Arifin, and others. 2021. “Penggunaan Iso Cluster Unsupervised Classification Dalam Mengenali Garis Pantai, Studi Kasus: Rarowatu Utara, Sulawesi Tenggara.” Pp. 53–69 in Proceeding Seminar Nasional Ilmu Komputer. Vol. 1.
Bacopoulos, Peter. 2006. Analysis, Modeling, And Simulation Of The Tides In The Loxahatchee River Estuary (Southeastern Florida).
Biro Pusat Statistik Kota Serang. 2021. “Kota Serang Dalam Angka 2021.” Kota Serang Dalam Angka 260.
BNPB. 2021. Banjir Melanda Tiga Wilayah Di Provinsi Banten Berangsur Surut. Serang.
Bui, Duie Tien, Khabat Khosravi, Himan Shahabi, Prasad Daggupati, Jan F. Adamowski, Assefa M.Melesse, Binh Thai Pham, Hamid Reza Pourghasemi, Mehrnoosh Mahmoudi, Sepideh Bahrami, Biswajeet Pradhan, Ataollah Shirzadi, Kamran Chapi, and Saro Lee. 2019. “Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model.” Remote Sensing 11(13). doi: 10.3390/rs11131589.
Gallien, T. W., J. E. Schubert, and B. F. Sanders. 2011. “Predicting Tidal Flooding of Urbanized Embayments: A Modeling Framework and Data Requirements.” Coastal Engineering 58(6):567–77. doi: 10.1016/j.coastaleng.2011.01.011.
Hamuna, Baigo, Annisa Novita Sari, and Alianto Alianto. 2018. “Kajian Kerentanan Wilayah Pesisir Ditinjau Dari Geomorfologi Dan Elevasi Pesisir Kota Dan Kabupaten Jayapura, Provinsi Papua.” Jurnal Wilayah Dan Lingkungan 6(1):1–14.
Iskandar, Syafrei Adi, Muhammad Helmi, S. Widada, and Baskoro Rochaddi. 2020. “Analisis Geospasial Area Genangan Banjir Rob Dan Dampaknya Pada Penggunaan Lahan Tahun 2020-2025 Di Kota Pekalongan Provinsi Jawa Tengah.” Indonesian Journal of Oceanography 2(3):73–84.
Kiffah, *, Kayyisah Ahmad, Kiran Aulia Putri, Alya Dina Wilujeung, Della Ayu Lestari, and Willdan Aprizal Arifin. 2021. Status Sebaran Dan Kerapatan Kanopi Mangrove Di Pulau Tobea Besar Sulawesi Tenggara Menggunakan Data Satelit Landsat 8. Vol. 20.
Lestari, Della Ayu, Novi Sofia Fitriasari, Taufiq Ejaz Ahmad, Amien Rais, and Dhea Rahma Azhari. 2021. “Spatial Analysis on Tsunami Predictions in Pandeglang Regency.” Forum Geografi 35(1). doi: 10.23917/forgeo.v35i1.12367.
Lestari, Della, Dewi Susiloningtyas, and Supriatna Supriatna. 2020. “Spatial Dynamics Model of Land Availability and Population Growth Prediction in Bengkulu City.” Indonesian Journal of Geography 52(3):427–36.
Marfai, Muh Aris, and Lorenz King. 2007. “Monitoring Land Subsidence in Semarang, Indonesia.” Pp. 651–59 in Environmental Geology. Vol. 53.
Marwah, Sitti, and L. Alwi. 2014. “Analysis of the Impact of Land Use Change on Tidal Flood in Kendari City.” International Journal of Applied Science and Technology. Center for Promoting Ideas, USA 4(7):103–14.
Sasongko, Agung Setyo, Ferry Dwi Cahyadi, Lio Yonanto, Rifqi Saeful Islam, and Nur Fidya Destiyanti. 2020. “Kandungan Logam Berat Di Perairan Pulau Tunda Kabupaten Serang Banten.” Manfish Journal 1(02):90–95.
Twumasi, Yaw A., Edmund C. Merem, John B. Namwamba, Ronald Okwemba, Tomas Ayala-Silva, Kamran Abdollahi, Onyumbe E. Ben Lukongo, Joshua Tate, Kellyn La Cour-Conant, and Caroline O. Akinrinwoye. 2020. “Use of GIS and Remote Sensing Technology as a Decision Support Tool in Flood Disaster Management: The Case of Southeast Louisiana, USA.” Journal of Geographic Information System 12(02):141–57. doi: 10.4236/jgis.2020.122009.
Vousdoukas, Michalis I., Dimitrios Bouziotas, Alessio Giardino, Laurens M. Bouwer, Lorenzo Mentaschi, Evangelos Voukouvalas, and Luc Feyen. 2018. “Understanding Epistemic Uncertainty in Large-Scale Coastal Flood Risk Assessment for Present and Future Climates.” Natural Hazards and Earth System Sciences 18(8):2127-42.
Wirasatriya, Anindya. 2006. “Kajian Kenaikan Muka AIr Laut Sebagai Landasan Penanggulangan Rob Di Semarang.” Semarang: Universitas Diponegoro.