RAMADHANI, ANGELINA RIZKY (2023) KAJIAN PEMODELAN GEOSPASIAL DAERAH GENANGAN BANJIR PASANG DI KOTA PEKALONGAN, PROVINSI JAWA TENGAH (23dos225). Undergraduate thesis, Fakultas Perikanan dan Ilmu Kelautan.

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Abstract

ABSTRAK

(Angelina Rizky Ramadhani. 26050117120029. Kajian Pemodelan
Geospasial Daerah Genangan Banjir Pasang di Kota Pekalongan, Provinsi Jawa
Tengah. Heryoso Setiyono dan Muhammad Helmi)
Banjir pasang di wilayah pesisir Kota Pekalongan yang semakin luas dapat
berdampak pada sejumlah faktor di wilayah garis pantai Kota Pekalongan.
Dengan demikian perlu dilakukan pemodelan geospasial daerah genangan banjir
pasang untuk saat ini dan prediksi untuk menurunkan risiko bencana, yaitu
langkah untuk mengurangi dampak banjir pasang di Kota Pekalongan. Penelitian
ini menggunakan metode kuantitatif, dengan objek kajian berupa daerah genangan
banjir pasang menurut data pasang tertinggi, laju kenaikan muka laut, elevasi
muka tanah, dan laju penurunan muka tanah. Penelitian ini didapatkan hasil
pemodelan geospasial genangan banjir pasang tahun 2020 dengan luas 757,28
hektar. Sedangkan prediksi genangan banjir pasang pada 2035 adalah 1896,32
hektar. Tipe pasang surut campuran condong ke harian ganda dengan nilai
Formzahl (F) 0,82 menjadi ciri hasil pengolahan data pasang surut, dengan
metode DinSAR memperoleh elevasi muka tanah 0 hingga 12,54 meter dan laju
penurunan tanah berkisar antara 11,54 hingga 16,84 cm per tahun.
Kata Kunci: Banjir Pasang, Pemodelan Geospasial, Penurunan Muka Tanah,
Kota Pekalongan

ABSTRACT

(Angelina Rizky Ramadhani. 26050117120029. Study of Geospatial
Modeling of Tidal Flood Inundation Areas in Pekalongan City, Central Java
Province. Heryoso Setiyono and Muhammad Helmi)
Tidal floods in the coastal areas of Pekalongan City, which are expanding,
can have an impact on several factors in the coastal line of Pekalongan City.
Therefore, it is necessary to conduct geospatial modeling of the tidal flood
inundation areas for the current situation and prediction in order to reduce the
risk of disasters, specifically taking steps to mitigate the impact of tidal floods in
Pekalongan City. This study utilizes a quantitative method, with the research
object being the tidal flood inundation areas based on the highest tide data, rate
of sea level rise, ground elevation, and rate of land subsidence. The study resulted
in geospatial modeling of tidal flood inundation in the year 2020, covering an
area of 757.28 hectares. Meanwhile, the predicted tidal flood inundation area for
2035 is 1896.32 hectares. The tidal pattern is a mixed semi-diurnal tide with a
Formzahl (F) value of 0.82, which is a characteristic derived from the processing
of tidal data using the DinSAR method. The ground elevation ranges from 0 to
12.54 meters, and the rate of land subsidence varies from 11.54 to 16.84
centimeters per year.
Keywords: Tidal Floods, Geospatial Modeling, Land Subsidence, Pekalongan
City

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