CD Skripsi

Analisis Daerah Genangan Banjir Di Kecamatan Pangkalan Kuras Kabupaten Pelalawan Dengan Pemanfaatan Google Earth Engine (Gee)

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ABSTRACT
The Pangkalan Kuras subdistrict in Pelalawan Regency is an area with a high level
of flood vulnerability due to its low topography, land use changes, and significant
rainfall variation throughout the year. Recurring floods almost every year are
exacerbated by extreme rainfall intensity, unbalanced hydrological response of
river basins, and inadequate drainage capacity. These conditions indicate the need
for spatial and temporal studies to understand flood inundation dynamics more
accurately. This study aims to identify the spatial and temporal distribution of
flooding for the period 2019–2025, analyze flood-prone areas using Sentinel-2
imagery through the Modified Normalized Difference Water Index (MNDWI)
approach on Google Earth Engine (GEE), and calculate the area of flooding as a
basis for disaster mitigation in Pangkalan Kuras. The research method integrates
BMKG rainfall data and CHIRPS satellite data to assess extreme rainfall
characteristics, then maps inundation using Sentinel-2 imagery processed through
a JavaScript algorithm on GEE. The MNDWI index is applied to improve the
accuracy of water body detection, especially in tropical regions with high spectral
variation. All mapping results were validated with secondary data and field reports
to ensure the accuracy of flood interpretation. The analysis shows that extreme
rainfall in Pangkalan Kuras occurs almost throughout the year, with intensity
increasing from March to December. Spatially, Kesuma Village is recorded as the
area with the highest rainfall, influenced by low topography and land use that is less
able to retain surface runoff. This condition is in line with the GEE analysis results,
which show an increase in flooding area from 2019 to 2025. This increase is
triggered by intense rainfall, the overflowing of the Kampar River, and the opening
of the Koto Panjang hydroelectric power plant floodgates. Flooding will peak in
2024–2025 with an area of approximately ±5,340 hectares, indicating an increased
risk of flooding that needs to be anticipated through more targeted mitigation
planning.
Keywords: Pangkalan Kuras Subdistrict, Spatial-Temporal, Flooding, Google
Earth Engine (GEE)

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2107112791

Penerbit

Pekanbaru : Universitas Riau – F.TEKNIK – sipil., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2107112791

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK SIPIL

Info Detail Spesifik

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Pernyataan Tanggungjawab

daus

Versi lain/terkait

Lampiran Berkas

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