MODEL PREDIKSI PERUBAHAN GARIS PANTAI DI PULAU SEBESI

Roni Rusmana, - (2024) MODEL PREDIKSI PERUBAHAN GARIS PANTAI DI PULAU SEBESI. S1 thesis, Universitas Pendidikan Indonesia.

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Abstract

Pulau Sebesi merupakan pulau berpenghuni paling dekat di sekitar Gunung Anak Krakatau dan salah satu pulau terdekat dengan episentrum letusan dan gempa bumi Gunung Anak Krakatau. Dampak dari hal tersebut tidak hanya berdampak pada aspek kemanusiaan, tetapi juga pada lingkungan pesisir, termasuk perubahan garis pantai. Penelitian ini bertujuan untuk menganalisis perubahan garis pantai, mengukur luasan akresi dan abrasi, serta memprediksi perubahan garis pantai. Data citra satelit yang digunakan pada tahun 2003, 2013, dan 2023 untuk mengidentifikasi dan mengukur perubahan garis pantai. Metode yang digunakan adalah analis dan perhitungan Net Shoreline Movement (NSM), End Point Rate (EPR), dan Linear Regression Rate (LRR) yang merupakan metode yang berada dalam DSAS. Analisis dari 719 transek menunjukkan bahwa 66,48% dari wilayah pantai mengalami akresi dengan laju rata-rata 0,32 meter per tahun, sementara 33,52% mengalami abrasi. Akresi maksimum mencapai 8,83 meter per tahun dan abrasi maksimum sebesar 2,02 meter per tahun. Selama periode 2003 hingga 2023, akresi mencakup area seluas 231.882 m² dan abrasi sebesar 109.484 m². Jarak akresi tertinggi tercatat sebesar 179,8 meter, sedangkan jarak abrasi tertinggi adalah 41,11 meter. Prediksi hingga tahun 2033 menunjukkan adanya maksimum akresi 72,4 meter dan maksimum abrasi 25,1 meter, dengan laju akresi rata-rata 0,16 meter per tahun, garis pantai diperkirakan akan maju 1,6 meter pada tahun 2033. Meskipun ada kecenderungan dominan akresi, upaya pelestarian pantai masih kurang memadai akibat aktivitas manusia seperti pengambilan batu karang, penambangan pasir vulkanik, konflik lahan, serta kurangnya dukungan masyarakat dan aparat desa. Sebesi Island is the closest inhabited island around Mount Anak Krakatau and one of the closest islands to the epicenter of the eruption and earthquake of Mount Anak Krakatau. The impact of this not only impacts humanitarian aspects, but also the coastal environment, including changes in coastlines. This research aims to analyze changes in coastlines, measure the extent of accretion and abrasion, and predict changes in coastlines. Satellite image data used in 2003, 2013, and 2023 to identify and measure coastline changes. The method used is analysis and calculation of Net Shoreline Movement (NSM), End Point Rate (EPR), and Linear Regression Rate (LRR) which are methods in DSAS. Analysis of 719 transects shows that 66.48% of the coastal area experienced accretion at an average rate of 0.32 meters per year, while 33.52% experienced abrasion. Maximum accretion reached 8.83 meters per year and maximum abrasion was 2.02 meters per year. During the period 2003 to 2023, accretion covers an area of 231,882 m² and abrasion is 109,484 m². The highest accretion distance was recorded at 179.8 meters, while the highest abrasion distance was 41.11 meters. Predictions until 2033 show a maximum accretion of 72.4 meters and a maximum abrasion of 25.1 meters, with an average accretion rate of 0.16 meters per year, the coastline is predicted to advance 1.6 meters in 2033. Although there is a dominant trend accretion, coastal preservation efforts are still inadequate due to human activities such as coral extraction, volcanic sand mining, land conflicts, and lack of support from the community and village officials.

Item Type:	Thesis (S1)
Additional Information:	https://scholar.google.com/citations?hl=en&user=jexhi3oAAAAJ ID SINTA Dosen Pembimbing: Willdan Aprizal Arifin: 920200819940415101 Ferry Dwi Cahyadi: 920171219900902101
Uncontrolled Keywords:	Abrasi, Akresi, DSAS, Perubahan Garis Pantai, Pulau Sebesi Abrasion, Accretion, Coastline Changes, DSAS,, Sebesi Island
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > GC Oceanography S Agriculture > SH Aquaculture. Fisheries. Angling
Divisions:	UPI Kampus Serang > S1 Sistem Informasi Kelautan
Depositing User:	Roni Rusmana
Date Deposited:	26 Sep 2024 03:52
Last Modified:	26 Sep 2024 03:52
URI:	http://repository.upi.edu/id/eprint/125726

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