Welmanggara, Retto (2019) Analisis Spasial Kawasan DAS Kabupaten Pasuruan Untuk Identifikasi Daerah Rawan Banjir Dengan Data Citra Satelit Multitemporal Menggunakan Sistem Informasi Geografis (Studi Kasus: DAS Rejoso). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
DAS Rejoso merupakan DAS di Kabupaten Pasuruan yang dikelola oleh Badan Pengelola DAS (BP DAS) Brantas. Dengan panjang DAS sekitar 22 km, DAS Rejoso memiliki peranan penting bagi keberlangsungan hidup masyarakat di 19 kecamatan di Pasuruan. Adanya praktik pertanian yang tidak ramah lingkungan, tingginya tingkat erosi serta eksploitasi sumberdaya air berlebihan menjadi penyebab rusaknya DAS Rejoso. Penelitian ini bertujuan untuk mengetahui jangkauan dan luasan wilayah yang termasuk daerah rawan banjir serta menentukan faktor-faktor yang menjadi penyebab banjir di DAS Rejoso. Dengan menggunakan metode skoring dan pembobotan dari kelima parameter banjir yaitu curah hujan, kelerengan, buffer sungai, tutupan lahan, dan jenis tanah pada Citra Landsat 7 dan 8 tahun 2003, 2008, 2018. Dan, hasil pengolahan parameter akan di overlay untuk membuat peta potensi banjir dengan klasifikasi yaitu rawan, sedang, dan aman yang kemudian dilakukan analisis spasial terhadap hasil pengolahan data dan dari pembuatan peta yang diperoleh
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Rejoso Watershed is a watershed in Pasuruan Regency managed by the Brantas Watershed Management Agency (BP DAS). With a watershed length around 22 km, the Rejoso watershed has an important role in the survival of the community in 19 sub-districts in Pasuruan. The existence of environmental unfriendly agricultural practices, high levels of erosion and over-exploitation of water resources had caused damage to the Rejoso watershed. This study aims to determine the extent of areas including flood-prone areas and determine the factors that cause flooding in the Rejoso watershed. By using the scoring and weighting methods of the five flood parameters namely rainfall, slope, river buffer, land cover, and soil type in Landsat 7 and 8 Image in 2003, 2008, 2018. And, the results of processing parameters will be overlaid to create a flood prone map with vulnerability classification, which is very prone, vulnerable, and not swamp, with spatial analysis of the results data processing and from the map obtained.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Spatial Analysis, Landsat Imagery, Rejoso Watershed, Weighting, Flood-Prone, Scoring. |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data |
| Divisions: | Faculty of Civil Engineering and Planning > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Welmanggara Retto |
| Date Deposited: | 22 Jul 2026 08:15 |
| Last Modified: | 22 Jul 2026 08:15 |
| URI: | http://repository.its.ac.id/id/eprint/70340 |
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