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dc.contributor.advisorArhatin, Risti Endriani
dc.contributor.advisorPanjaitan, James Parlindungan
dc.contributor.authorSudibyo, Wildan Al Azis
dc.date.accessioned2026-07-27T23:48:27Z
dc.date.available2026-07-27T23:48:27Z
dc.date.issued2026
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/176006
dc.description.abstractPencairan es kutub memicu kenaikan muka air laut yang mengancam pesisir Kabupaten Kendal berupa banjir rob, diperparah oleh penurunan muka tanah (PMT). Penelitian ini bertujuan memetakan dan memprediksi sebaran banjir rob serta dampaknya terhadap tutupan lahan di Kabupaten Kendal. Data yang digunakan meliputi citra Sentinel-1, Sentinel-2A, pasang surut, DEMNAS, Sea Level Anomaly (SLA), angin, dan curah hujan. Metode analisis mencakup Differential Interferometry Synthetic Aperture Radar (DInSAR) untuk PMT, klasifikasi terbimbing untuk tutupan lahan, regresi linear untuk Sea Level Rise (SLR), admiralty, dan analisis spasial. Hasil penelitian menunjukkan laju PMT berkisar - 2.81 hingga -5.61 cm/tahun, pasang tertinggi 0.63 m, dan elevasi didominasi -2.1– 6.1 m dpl. Laju SLR mencapai 4.15 mm/tahun, dengan kecepatan angin 0.8–8 m/s, dan curah hujan tertinggi 254 mm. Luas genangan banjir rob pada tahun 2024 mencapai 3,472.48 ha, dan diprediksi meningkat menjadi 4,623.07 ha pada tahun 2031. Genangan banjir rob tersebut berdampak signifikan pada kawasan permukiman, industri, tambak, dan lahan sawah di wilayah pesisir.
dc.description.abstractPolar ice melt triggers sea level rise that threatens the coastal area of Kendal Regency with tidal floods, which is exacerbated by land subsidence. This study aims to map and predict tidal flood distribution and its impact on land cover in Kendal Regency. Data used include Sentinel-1, Sentinel-2A, tides, DEMNAS, Sea Level Anomaly (SLA), wind, and rainfall. Analytical methods comprise Differential Interferometry Synthetic Aperture Radar (DInSAR) for land subsidence, supervised classification for land cover, linear regression for Sea Level Rise (SLR), admiralty, and spatial analysis. The results show that the land subsidence rate ranges from -2.81 to -5.61 cm/year, the highest tide is 0.63 m, and the elevation is dominated by -2.1 to 6.1 m above sea level. The SLR rate reaches 4.15 mm/year, with wind speeds of 0.8–8 m/s, and the highest rainfall reaches 254 mm. The tidal flood inundation area in 2024 reached 3,472.48 ha, and is predicted to increase to 4,623.07 ha by 2031. This inundation significantly impacts residential, industrial, aquaculture, and paddy field areas in the coastal region.
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dc.language.isoid
dc.publisherIPB Universityid
dc.titleSebaran Spasial Banjir Rob di Pesisir Kabupaten Kendal, Jawa Tengahid
dc.title.alternative
dc.typeSkripsi
dc.subject.keywordBanjir Robid
dc.subject.keywordPenurunan Muka Tanahid
dc.subject.keywordSea level riseid
dc.subject.keywordKendalid
dc.subject.keywordanalisis spasialid
dc.subtypeUndergraduate Theses


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