Utilization of Measurement Technology in Analyzing Tidal Flooding Run Up Along Semidang Alas Maras Coast

Authors

  • Supiyati Bengkulu University
  • Suwarsono Bengkulu University
  • Budi Harlianto Bengkulu University
  • Rolando Baringin Bengkulu University

DOI:

https://doi.org/10.55927/fjcis.v4i1.12307

Keywords:

Coastal, Rainfall, Tidal, Tidal Flood, Wind

Abstract

Tidal floods in the Semidang Alas Maras coast often occur and disrupt community activities. The height and area affected by tidal flood run-up is not the same every time. This research are to identify the factors that influence tidal floods and determine the effect of seasonal changes on tidal flooding run-up along Semidang Alas Maras coast by utilising measurement technology using drones. The method in this research is direct measurements of tides, visual photos topographic using drones, and also secondary data including tidal data from TMD model, rainfall, and wind data during tidal flooding. Based on the results of the study, it was found that tidal flooding run-up along Semidang Alas Maras coast was influenced by tides, high rainfall and wind. The mixed tide type of Semidang Alas Maras is Mixed Tide Prevailing Semidiurnal with a Formzhal number of 0.76. The area affected by the tidal flood run-up for the criteria of no danger and less danger every season is the same. Meanwhile, the criteria for moderately dangerous, dangerous and very dangerous vary every season. The highest area value occurring in the western season, the criteria for moderately dangerous 20% with an area of 83.06 Ha, 21% hazard with an area of 85.78 Ha, and very dangerous 23% with area of 93.95 Ha

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References

Abdrabo, K. I., Kantoush, S. A., Esmaiel, A., Saber, M., Sumi, T., Almamari, M., Elboshy, B., & Ghoniem, S. (2023). An integrated indicator-based approach for constructing an urban flood vulnerability index as an urban decision-making tool using the PCA and AHP techniques: A case study of Alexandria, Egypt. Urban Climate, 48(January), 101426. https://doi.org/10.1016/j.uclim.2023.101426

Aksa, F. I, & Afrian, R. (2022). Community adaptation strategies toward tidal flood: A Case study in Langsa, Indonesia. Jamba : Journal of Disaster Risk Studies 14 (1).

Aldardasawi, A. F. M., & Eren, B. (2021). Floods and Their on the Environment. 5th International Symposium on Natural Hazards and Disaster Management, Sakarya Uygulamalı Bilimler Üniversitesi Sakarya. https://doi.org/10.33793/acperpro.04.02.24

Andaryani, S., Nourani, V., Haghighi, A.T. (2021). Integration of hard and soft supervised machine learning for flood susceptibility mapping. Journal of Environmental, 291.112731. https://doi.org/10.1016/j.jenvman.2021.112731

Arrighi, C., Pregnolato, M., Dawsonb, F., & Castelli. (2019). Preparedness against mobility disruption by floods. Science of The Total Environment, 654, 1010–1022. https://doi.org/https://doi.org/10.1016/j.scitotenv.2018.11.191

Barnard, P. L., Erikson, L. H., Foxgrover, A. C., Hart, J. A. F., Limber, P., O’Neill, A. C., van Ormondt, M., Vitousek, S., Wood, N., Hayden, M. K., & Jones, J. M. (2019). Dynamic flood modeling essential to assess the coastal impacts of climate change. Scientific Reports, 9(1), 1–14. https://doi.org/10.1038/s41598-019-40742-z

Brunner, M. I., Slater, L., Tallaksen, L. M., Clark, M. (2021). Challenges in modeling and predicting floods and droughts:A review. Wiley Interdisciplinary Reviews Water, 8 (3), Article e1520. https://doi.org/10.1002/wat2.1520

Egaputra, A. A., Ismunarti, D. H., & Pranowo, W. S. (2022). Inventory of Tidal Flood Events in Semarang City for the Periode 2012-2020. Indonesian Journal of Oceanography, 4(2), 29–40. https://doi.org/10.14710/jekk.v%vi%i.13240

Imam, M. N., Latief, R., & Rasyidi, E. S. (2022). Directions for mitigation of thob Flood Disaster in the coastal area, Be Ralusu District, Barru Regency. Journal of Urban Planning Studies 2(3):, 2(3), 258–264. https://doi.org/10.35965/jups.v2i3.311

Iskandar, S. A., Helmi, M., Muslim, M., Widada, S., & Rochaddi, B. (2020). Geospatial analysis of rob flood inundation area and its impact on land use in 2020 - 2025 in Pekalongan City, Central Java Province. DOI: Indonesian Journal of Oceanography, 2(3), 271–282. https://doi.org/10.14710/ijoce.v2i3.8668.

Maharjana, M., S., Timilsinac., Ayerd, S., Singhb, B., Manandharb, B., & Sedhain, A. (2024). Flood susceptibility assessment using machine learning approach in the Mohana-Khutiya River of Nepal. KeAi, Natural Hazards Research, 4, 32–45. https://doi.org/https://doi.org/10.1016/j.nhres.2024.01.001.

Mind’je, R., Li, L., Amanambu, A, C., Nahayo, L., Nsengiyumva, J, B Gasirabo, A., & Mindje, M. (2019). Flood susceptibility modeling and hazard perception in Rwanda. International Journal of Disaster Risk Reduction 38, 101211, 38(101211). https://doi.org/https://doi.org/10.1016/j.ijdrr.2019.101211

Mohantry, M.P., Sherly. M.A., Ghosh, S., & Karmakar, S. (2020). Tide-rainfall flood quotient: an incisive measure of comprehending a region’s response to storm-tide and pluvial flooding. IOP Publish, Environmental Research Letters, 15(6) 064029. https://doi.org/10.1088/1748-9326/ab8092

Philip R. Thompson, M. J. W., Merrifield, M. A., Becker, J. M., & Marra, J. J. (2019). A Statistical Model for Frequency of Coastal Flooding in Honolulu, Hawaii, During the 21st Century. . . Journal of Geophysical Research (JGR Oceans), 124(4), 2787–2802. https://doi.org/https://doi.org/10.1029/2018JC014741

Putra, E. R., Siregar, L., Fitri, I., & Karim, S. (2023). Analysis and Design of Geographic Information Systems Mapping Agricultural and Plantation Locations in Melak District, Kutai Barat Regency. International Journal of Information Engineering and Electronic Business, 15(4), 48–56. https://doi.org/10.5815/ijieeb.2023.04.05

Regency, R. D. M. A. S. (2019). Regional Disaster Management Agency. 2019. Seluma disaster annual report. 125 pp. In Regional Disaster Management Agency Seluma Regency, Seluma, Bengkulu, Indonesia.

Sauda, R. H., Nugraha, A. L., & Hani’ah. (2019). Rob Flood Vulnerability Mapping Study in Pekalongan Regency (Indonesian). Jurnal Geodesi Undip, 8(1), 466–474. https://doi.org/10.14710/jgundip.2019.22777

South, R. (2023). Rob Flood Dozens of Houses Damaged. Radar South, https://radarselatan.disway.id/read/249212/banjir.

Supiyati, & Ekawita, R. (2019). Ultrasonic Sensor-based Wave Energy and Current Analysis in Tapak Paderi Beach Waters. Proceedings of SEMIRATA BKS West MIPA Field, 597–608.

Supiyati, Suwarsono, & Setiawan, I. (2021). 2021. Numerical Model of Coastline Changing Caused by Ocean Waves on Every Beach Segment in Coastal Area of North Bengkulu, Indonesia. AIP Conference Proceedings 2320: 040025. https://doi.org/10.1063/5.0037641

Supiyati, Suwarsono, Sugianto, N., Abdullah, M. I., & Setiawan, I. (2022). 2022. Beach Morphology Changes Due to Sediment Transport Generated by Wave and Current in The Sea Waters of Bengkulu City, Indonesia. Ilmu Kelautan: Indonesian Journal of Marine Sciences, 27(3), 240–252. https://doi.org/10.14710/ik.ijms.27.3.240-252

Taherkhani, M., Vitousek, S., Barnard, P. L., Frazer, N., Anderson, T. R., & Fletcher, C. H. (2020). Sea-level rise exponentially increases coastal flood frequency. Scientific Reports, 10(1), 1–18. https://doi.org/10.1038/s41598-020-62188-4

Thompson, P. R., Widlansky, M. Hamlington, B. D., Merrifield, M. A., Marra, J. J., Gary T. Mitchum, G. T., & Sweet, W. (n.d.). Rapid increases and extreme months in projections of United States high-tide flooding. Nature Climate Change, 11, 584–590.

Triatmodjo, B. (2016). Coastal Engineering. Beta Offset, Yogyakarta, Indonesia.

Zhao, G., Pang, B., Xu, Z., Peng, D., & Xu, L. (2019). Assessment of urban flood susceptibility using semi-supervised machine learning model. Science of The Total Environment, 659, 940–949.

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Published

2025-03-24

How to Cite

Supiyati, Suwarsono, Harlianto, B., & Baringin, R. (2025). Utilization of Measurement Technology in Analyzing Tidal Flooding Run Up Along Semidang Alas Maras Coast. Formosa Journal of Computer and Information Science, 4(1), 1–16. https://doi.org/10.55927/fjcis.v4i1.12307

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