ANALISIS AREA GENANGAN BANJIR MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS (SIG) DI DAS CIMANDIRI

    Clarissa Andarini, - and Hendro Murtianto, - and Shafira Himayah, - (2025) ANALISIS AREA GENANGAN BANJIR MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS (SIG) DI DAS CIMANDIRI. S1 thesis, Universitas Pendidikan Indonesia.

    Abstract

    Banjir merupakan salah satu bencana yang sering melanda Daerah Aliran Sungai (DAS) Cimandiri dan menimbulkan kerugian signifikan, sehingga diperlukan analisis spasial untuk mengidentifikasi wilayah rawan genangan. Penelitian ini bertujuan untuk menganalisis karakteristik fisik lahan yang memengaruhi potensi banjir serta memetakan area genangan dan tingkat kerawanan banjir di DAS Cimandiri. Metode yang digunakan adalah penelitian kuantitatif dengan pendekatan analisis spasial berbasis penginderaan jauh, menggunakan citra Sentinel-1 untuk deteksi perubahan citra (change detection) serta parameter fisik lahan meliputi intensitas hujan, kemiringan lereng, penggunaan lahan, jenis tanah, ketinggian lahan, dan kerapatan sungai. Proses penelitian mencakup pengolahan citra, analisis spasial, dan validasi lapangan (ground checking). Hasil penelitian menunjukkan bahwa banjir pada 6 Desember 2024 menutupi area seluas 598,29 ha, dengan genangan terbesar terdapat di Kecamatan Simpenan 214,55 ha. Tingkat kerawanan banjir terbagi ke dalam empat kelas, yaitu tidak rawan, cukup rawan, rawan, dan sangat rawan, dengan kategori sangat rawan mendominasi wilayah dataran rendah di bagian hilir DAS. Hasil uji akurasi melalui matriks konfusi memperoleh nilai overall accuracy sebesar 90,32% dan koefisien kappa 0,84, yang mengindikasikan tingkat kesesuaian sangat baik antara peta hasil analisis kerawanan banjir dan kondisi lapangan. Kesimpulannya, integrasi citra radar Sentinel-1 dengan data fisik lahan dalam penelitian ini dapat menghasilkan informasi spasial mengenai sebaran genangan banjir dan tingkat kerawanan yang dapat dimanfaatkan sebagai dasar dalam penyusunan strategi mitigasi berbasis spasial. Flooding is one of the disasters that frequently affects the Cimandiri River Basin (DAS) and causes significant losses, requiring spatial analysis to identify flood-prone areas. This study aims to analyze the physical characteristics of land that affect flood potential and map flood areas and flood vulnerability levels in the Cimandiri River Basin. The method used is quantitative research with a spatial analysis approach based on remote sensing, using Sentinel-1 imagery for change detection and land physical parameters including rainfall intensity, slope gradient, land use, soil type, land elevation, and river density. The research process included image processing, spatial analysis, and field validation (ground checking). The results showed that the flood on December 6, 2024, covered an area of 598.29 ha, with the largest inundation occurring in Simpenan District at 214.55 ha. The flood vulnerability level is divided into four classes, namely not vulnerable, moderately vulnerable, vulnerable, and highly vulnerable, with the highly vulnerable category dominating the lowland areas in the downstream part of the watershed. The accuracy test results through the confusion matrix obtained an overall accuracy value of 90.32% and a kappa coefficient of 0.84, indicating a very good level of conformity between the flood vulnerability analysis map and field conditions. In conclusion, the integration of Sentinel 1 radar imagery with physical land data in this study can produce spatial information on the distribution of flood inundation and vulnerability levels that can be used as a basis for developing spatial-based mitigation strategies.

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    Official URL: http://repository.upi.edu
    Item Type: Thesis (S1)
    Additional Information: https://scholar.google.com/citations?hl=en&view_op=list_works&gmla=AKzYXQ1ZJ7Gqdu-zllk49MbiCf5I1cfFWwco8m_iIE4loKNhFnslQ9IldOfHsctUmXQ2rxVQY4osTZJ-pzZMiA&user=uw-GJLUAAAAJ ID SINTA Dosen Pembimbing Hendro Murtianto : 6115607 Shafira Himayah : 6114986
    Uncontrolled Keywords: banjir, Sentinel-1, change detection, analisis spasial, kerawanan banjir, DAS Cimandiri flood, Sentinel-1, change detection, spatial analysis, flood vulnerability, Cimandiri watershed
    Subjects: G Geography. Anthropology. Recreation > G Geography (General)
    G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
    G Geography. Anthropology. Recreation > GE Environmental Sciences
    Divisions: Fakultas Pendidikan Ilmu Pengetahuan Sosial > Program Studi Survey Pemetaan dan Informasi Geografi D-4
    Depositing User: Clarissa Andarini
    Date Deposited: 20 Nov 2025 06:29
    Last Modified: 20 Nov 2025 06:29
    URI: http://repository.upi.edu/id/eprint/144731

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