Analysis of Tidal Floods in North Bintan Coastal Area to Strengthen Maritime Security Measures

Authors

  • Pande Made Rony Kurniawan Universitas Pertahanan
  • Pujo Widodo Universitas Pertahanan
  • Herlina Juni Risma Saragih Universitas Pertahanan
  • Panji Suwarno Universitas Pertahanan
  • Endro Legowo Universitas Pertahanan
  • Trismadi Universitas Pertahanan

DOI:

https://doi.org/10.33379/gtech.v7i2.2324

Keywords:

characteristics, tidal flood, tides

Abstract

North Bintan District is one of the areas threatened by tidal flooding. Tidal flooding has disrupted socioeconomic activities in coastal areas. This can be identified as a factor in the emergence of maritime threats and national security. This study aims to identify the tidal characteristics of the North Bintan District. The method used is to apply the FNL data to the Delft3D model and use the TMD model and PUSHIDROSAL data to simulate the tide level during tidal floods in the coastal area of North Bintan District. Thresholds for each prediction method were obtained: PUSHIDROSAL is 2.6, TMD model is 0.3785, and TMD + MSL is 1.7925. The Delft3D model does not provide enough imagery to show the presence of sea water encroaching on coastal areas. The tides in North Bintan District are semi-diurnal, with high tides from morning to noon and low tides from afternoon to evening.

References

Atmaja, R. R. P., Radjawane, I. M., & Tarya, A. (2015). Pola arus pasang surut di perairan Wakatobi. Seminar Nasional Kelautan, XIV, 24-32.

Bueger, C. (2015). What is maritime security?. Marine Policy, 53, 159-164. https://doi.org/10.1016/j.marpol.2014.12.005

Buzan, B. (1983). People, states, and fear: The national security problem in international relations. University of North Carolina Press.

Efendi, U., Kristianto, A., & Pratama, B. E. (2021). Respon hujan lebat dan kenaikan tinggi muka laut terhadap prediksi luasan banjir rob di Semarang (Studi kasus 3 - 5 Desember 2018). Jurnal Kelautan Nasional, 16(3), 157-168. http://dx.doi.org/10.15578/jkn.v16i3.9634

Gracella. (2019). Uji kualitas hasil analisa perbandingan prediksi pasang surut metode admiralty dan meode least square [skripsi thesis, ITN Malang]. ITN Malang Library Repository. http://eprints.itn.ac.id/id/eprint/3955

Hagen, S. C., & Bacopoulos, P. (2012). Coastal flooding in Florida’s big bend region with application to sea level rise based on synthetic storms analysis. Terrestrial, Atmospheric and Oceanic Sciences Journal, 23(5), 481-500. https://doi.org/10.3319/TAO.2012.04.17.01(WMH)

Ichsari, L. F., Handoyo, G., Setiyono, H., Ismanto, A., Marwoto, J., Yusuf, M., & Rifai, A. (2020). Studi komparasi hasil pengolahan pasang surut dengan 3 metode (admiralty, least square dan fast fourier transform) di pelabuhan Malahayati, Banda Aceh. Indonesian Journal of Oceanography, 02(02), 121-128. https://doi.org/10.14710/ijoce.v2i2.7985

Irawan, S. (2016). Pemetaan pasang surut dan arus laut pulau batam dan pengaruhnya terhadap jalur transportasi antar pulau. Jurnal Kelautan, 9(1), 32-42. https://doi.org/10.21107/jk.v9i1.1150

Jamalludin, Fatoni, K. I., Alam, T. M., & Pranowo, W. S. (2016). Identifikasi banjir rob periode 2013 – 2015 di kawasan pantai utara Jakarta. Jurnal Chart Datum, 2(2), 105-116. http://dx.doi.org/10.37875/chartdatum.v2i2.97

Kristianto, A. & Efendi, U. (2021). Prediksi spasio temporal rob berbasis model LISFLOOD FP di pesisir Jakarta. Majalah Geografi Indonesia, 35(2), 150-155. https://doi.org/10.22146/mgi.66594

Kuntinah. (2020). Simulasi tinggi muka air laut menggunakan model hidrodinamika Delft3D (Studi kasus banjir rob di Pontianak). Skripsi, Sekolah Tinggi Meteorologi Klimatologi dan Geofisika.

Pringgodigdo., R. O., Kamija, K., A. R. T. D., & Mustikawan, J. A. (2015). Pemanfaatan software tidal model driver untuk memprediksi pasang surut (Studi kasus perairan Pondok Dayung, Sungai Barito dan perairan Pulau Batek). Jurnal Hidropilar, 1(1), 35-43. https://doi.org/10.37875/hidropilar.v1i1.19

Pasaribu, R. A., Budi, P. S., Hakim, M. A. G. A., Aditama, F. A., & Ayuningtyas, N. H. (2021). Coastal inundation model in the coastal area of Palopo City, South Sulawesi Province. Journal of Applied Geospatial Information, 5((1), 451-456. https://doi.org/10.30871/jagi.v5i1.2791

Prayogo, L. M. (2020). Perbandingan Metode Admiralty dan Least Square untuk Analisis Pasang Surut di Pulau Mandangin Kabupaten Sampang, Jawa Timur. Jurnal Perikanan dan Kelutan, 10(2), 59-69. http://dx.doi.org/10.33512/jpk.v10i2.10215

PUPR. (2012). RPI2JM Kabupaten Bintan. PUPR.

Rachman, R. K., Ismunarti, D. H., & Handoyo, G. (2015). Pengaruh pasang surut terhadap sebaran genangan banjir rob di Kecamatan Semarang Utara. Jurnal Oseanografi, 4(1), 1 - 9. http://ejournal-s1.undip.ac.id/index.php/jose

Ramdhani, A. (2009), Pemanfaatan model wavewatch III dan OTIS untuk estimasi potensi rob Jakarta Utara. Universitas Indonesia.

Rizky, A. 2020. Proyeksi pengaruh fenomena supermoon terhadap tinggi muka laut untuk estimasi potensi banjir pesisir di teluk Jakarta. Skripsi, Sekolah Tinggi Meteorologi Klimatologi dan Geofisika.

Sanjaka, P. A., Widada, S., & Prasetyawan, I. B. (2013). Pemodelan inundasi (banjir rob) di pesisir Kota Semarang dengan menggunakan model hidrodinamika. Jurnal Oseanografi, 2(3), 353-360. https://ejournal3.undip.ac.id/index.php/joce/article/view/4580

Surinati, D. (2007). Pasang surut dan energinya. Oseana, XXXII(1), 15-22.

Syafitri, A. W., & Rochani, A. (2021). Analisis penyebab banjir rob di kawasan pesisir studi kasus: Jakarta Utara, Semarang Timur, Kabupaten Brebes, Pekalongan. Jurnal Kajian Ruang, 1(1), 16-28. http://dx.doi.org/10.30659/jkr.v1i1.19975

Published

2023-03-20

How to Cite

Analysis of Tidal Floods in North Bintan Coastal Area to Strengthen Maritime Security Measures. (2023). G-Tech: Jurnal Teknologi Terapan, 7(2), 570-578. https://doi.org/10.33379/gtech.v7i2.2324

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