Analisis Perubahan Garis Pantai Kabupaten Badung menggunakan Citra Sentinel-2 untuk Perencanaan Wilayah

H, Yudha Cristiano H (2025) Analisis Perubahan Garis Pantai Kabupaten Badung menggunakan Citra Sentinel-2 untuk Perencanaan Wilayah. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Wilayah pesisir Kabupaten Badung, khususnya Pantai Kuta hingga Seminyak, merupakan kawasan strategis dengan aktivitas ekonomi dan pariwisata tinggi, namun rentan terhadap perubahan garis pantai akibat faktor alamiah dan antropogenik. Penelitian ini bertujuan menganalisis perubahan garis pantai selama tujuh tahun (2018–2025), serta mengevaluasi akurasi metode penginderaan jauh berbasis citra Sentinel-2 dengan pendekatan NDWI dan DSAS.Citra Sentinel-2 dipilih karena resolusi spasial 10 meter pada reflektan band hijau (B3) dan NIR (B8), cakupan luas, serta ketersediaan data gratis dan berkala (5 hari), sehingga efisien untuk analisis multitemporal wilayah pesisir. Ekstraksi garis pantai dilakukan menggunakan NDWI dengan ambang 0 untuk memisahkan daratan dan perairan. Validasi dilakukan dengan 409 titik koordinat garis pantai yang dikumpulkan menggunakan GPS handheld saat fase waning crescent—fase pasang surut menjelang bulan mati yang dianggap memiliki muka laut rendah dan stabil. Uji akurasi dilakukan dengan menggunakan metode Root Mean Square Error (RMSE) yang didapatkan sebesar ±18,46 meter, yang menunjukkan klasifikasi NDWI dari Sentinel-2 cukup akurat pada saat dilakukan validasi lapangan. Analisis DSAS pada 491 transek menghasilkan Net Shoreline Movement (NSM) rata-rata 8,09 meter, End Point Rate (EPR) 1,19 meter/tahun, dan Shoreline Change Envelope (SCE) 38,91 meter. Luas abrasi tercatat 2.764,39 m², sedangkan akresi mendominasi dengan 27.900,29 m², menunjukkan pertambahan daratan akibat akumulasi sedimen.Penelitian ini menyimpulkan bahwa kombinasi Sentinel-2, NDWI, dan DSAS mampu mendeteksi perubahan garis pantai secara spasial dan kuantitatif. Temuan ini dapat menjadi dasar perencanaan wilayah pesisir yang adaptif, serta mitigasi risiko abrasi dan dampak perubahan iklim di kawasan wisata padat seperti Kuta hingga Seminyak.
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The coastal area of Badung Regency, particularly Kuta to Seminyak Beach, is a strategic region with high economic and tourism activity, yet it remains vulnerable to shoreline changes caused by both natural and anthropogenic factors. This study aims to analyze shoreline changes over seven years (2018–2025) and evaluate the accuracy of remote sensing methods based on Sentinel-2 imagery using the NDWI and DSAS approaches. Sentinel-2 imagery was selected due to its 10-meter spatial resolution in the green (B3) and near-infrared (B8) bands, wide coverage, and free, regular availability (every 5 days), making it efficient for multitemporal coastal analysis. Shoreline extraction was performed using NDWI with a threshold of 0 to distinguish land and water areas. Validation was conducted using 409 shoreline coordinate points collected with a handheld GPS during the waning crescent phase—a tidal phase approaching the new moon, considered to have low and stable sea levels. Accuracy testing was carried out using the Root Mean Square Error (RMSE) method, resulting in a value of ±18.46 meters, indicating that the NDWI classification from Sentinel-2 is sufficiently accurate during field validation. DSAS analysis on 491 transects produced an average Net Shoreline Movement (NSM) of 8.09 meters, an End Point Rate (EPR) of 1.19 meters/year, and a Shoreline Change Envelope (SCE) of 38.91 meters. The area of abrasion was recorded at 2,764.39 m², while accretion dominated with 27,900.29 m², indicating land expansion due to sediment accumulation. This study concludes that the combination of Sentinel-2, NDWI, and DSAS can effectively detect shoreline changes spatially and quantitatively. These findings can serve as a basis for adaptive coastal spatial planning and mitigation of abrasion risks and climate change impacts in densely visited tourist areas such as Kuta to Seminyak.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Penginderaan Jauh, NDWI, Abrasi, Akresi, Validasi Lapangan, DSAS Remote Sensing, NDWI, Erosion, Accretion, Field Validation, DSAS =================================================================================================== Remote Sensing, NDWI, Erosion, Accretion, Field Validation, DSAS
Subjects:	T Technology > TC Hydraulic engineering. Ocean engineering > TC203.5 Coastal engineering
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Yudha Cristiano H
Date Deposited:	25 Jul 2025 06:30
Last Modified:	25 Jul 2025 06:30
URI:	http://repository.its.ac.id/id/eprint/121872

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