BibTex Citation Data :
@article{JMR32269, author = {Dzakwan Muhammad and Djati Mardiatno}, title = {Dinamika Garis Pantai Pulau Karimunjawa dan Kemujan Tahun 2000 - 2030}, journal = {Journal of Marine Research}, volume = {12}, number = {3}, year = {2023}, keywords = {Dinamika garis pantai; prediksi garis pantai; Pulau Karimunjawa dan Kemujan}, abstract = { Perubahan iklim secara langsung menyebabkan terjadinya kenaikan muka air laut bagi wilayah kepesisiran. Hal ini menyebabkan garis pantai menjadi tidak stabil, sehingga perlu untuk dilakukan pemantauan secara spasial dan temporal. Pulau Karimunjawa dan Kemujan merupakan dua pulau kecil dengan garis pantai yang saling terhubung oleh hutan mangrove. Penelitian ini bertujuan untuk mengidentifikasi dinamika garis pantai Pulau Karimunjawa dan Kemujan tahun 2000 – 2030. Identifikasi garis pantai tahun 2000 – 2020 diperoleh melalui ekstraksi garis pantai metode single band (B5) dan band ratio (B4/B2 dan B5/B2) citra Landsat 7 ETM+, sedangkan untuk identifikasi garis pantai tahun 2030 diperoleh melalui prediksi garis pantai metode Kalman Filter Model. Hasil penelitian menunjukkan bahwa garis pantai cenderung mengalami akresi dengan rata-rata perubahan garis pantai sebesar +0,76 meter per tahun dan diprediksi akan mengalami kemajuan garis pantai rata-rata sebesar +1,02 meter per tahun. Garis pantai daerah penelitian tergolong stabil dengan sedikit akresi (akresi sedang). Climate change causes sea level rise for coastal region. This causes the shoreline become unstable, so spatial and temporal monitoring is necessary. Karimunjawa and Kemujan Islands are two small islands with a shoreline [H1] that are connected by mangrove forests. This research aims to identify shoreline dynamics of Karimunjawa and Kemujan Islands in 2000 – 2030. The identification of shoreline in 2000 – 2020 was obtained through the extraction of shoreline using single band (B5) and band ratio (B4/B2 and B5/B2) method from Landsat 7 ETM+, while for identification of shoreline in 2030 was obtained through shoreline forecasting using Kalman Filter Model method. The results show that the shoreline tends to be accreted with an average shoreline change of +0.76 meters per year and predicted to be accretion with an average shoreline change of +1.02 meters per year. The Shoreline of the study area is [H2] relatively stable with little accretion (medium accretion). }, issn = {2407-7690}, pages = {351--363} doi = {10.14710/jmr.v12i3.32269}, url = {https://ejournal3.undip.ac.id/index.php/jmr/article/view/32269} }
Refworks Citation Data :
Perubahan iklim secara langsung menyebabkan terjadinya kenaikan muka air laut bagi wilayah kepesisiran. Hal ini menyebabkan garis pantai menjadi tidak stabil, sehingga perlu untuk dilakukan pemantauan secara spasial dan temporal. Pulau Karimunjawa dan Kemujan merupakan dua pulau kecil dengan garis pantai yang saling terhubung oleh hutan mangrove. Penelitian ini bertujuan untuk mengidentifikasi dinamika garis pantai Pulau Karimunjawa dan Kemujan tahun 2000 – 2030. Identifikasi garis pantai tahun 2000 – 2020 diperoleh melalui ekstraksi garis pantai metode single band (B5) dan band ratio (B4/B2 dan B5/B2) citra Landsat 7 ETM+, sedangkan untuk identifikasi garis pantai tahun 2030 diperoleh melalui prediksi garis pantai metode Kalman Filter Model. Hasil penelitian menunjukkan bahwa garis pantai cenderung mengalami akresi dengan rata-rata perubahan garis pantai sebesar +0,76 meter per tahun dan diprediksi akan mengalami kemajuan garis pantai rata-rata sebesar +1,02 meter per tahun. Garis pantai daerah penelitian tergolong stabil dengan sedikit akresi (akresi sedang).
Climate change causes sea level rise for coastal region. This causes the shoreline become unstable, so spatial and temporal monitoring is necessary. Karimunjawa and Kemujan Islands are two small islands with a shoreline [H1] that are connected by mangrove forests. This research aims to identify shoreline dynamics of Karimunjawa and Kemujan Islands in 2000 – 2030. The identification of shoreline in 2000 – 2020 was obtained through the extraction of shoreline using single band (B5) and band ratio (B4/B2 and B5/B2) method from Landsat 7 ETM+, while for identification of shoreline in 2030 was obtained through shoreline forecasting using Kalman Filter Model method. The results show that the shoreline tends to be accreted with an average shoreline change of +0.76 meters per year and predicted to be accretion with an average shoreline change of +1.02 meters per year. The Shoreline of the study area is [H2] relatively stable with little accretion (medium accretion).
Article Metrics:
Last update:
Copyright Notice
Copyright for articles published in the Journal of Marine Research is held by the journal’s editorial management. The journal supports open access and the widespread dissemination of scholarly work.
Publishing Rights By submitting to this journal, authors grant the Journal of Marine Research the non-exclusive right to publish and distribute their work. All content is made freely available to the public and is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). This license allows others to copy, redistribute, remix, transform, and build upon the material for any purpose, even commercially, as long as appropriate credit is given, a link to the license is provided, and any modified material is distributed under the same license.
