Analisis Potensi Banjir Menggunakan Metode Analytical Hierarchy Process (AHP) Berbasis Sistem Informasi Geografis (Studi Kasus: Kota Malang)

Ramadhani, Dwi (2021) Analisis Potensi Banjir Menggunakan Metode Analytical Hierarchy Process (AHP) Berbasis Sistem Informasi Geografis (Studi Kasus: Kota Malang). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Banjir merupakan bencana alam yang paling sering terjadi di Indonesia. Menurut catatan Badan Nasional Penanggulangan Bencana (BNPB), telah terjadi 1080 bencana banjir di Indonesia sepanjang tahun 2020. Pada tanggal 18 Januari 2021, Kota Malang diguyur hujan dengan intensitas tinggi sehingga terjadi bencana banjir dan tanah longsor yang menyebabkan satu orang hilang dan 260 rumah terendam banjir. Dengan adanya bencana tersebut maka diperlukan analisis terhadap penyebab terjadinya banjir serta melakukan pencegahan dan mitigasi dengan pemetaan potensi banjir. Penelitian ini menggunakan metode pembobotan Analytical Hierarchy Process (AHP). Parameter yang digunakan antara lain ketinggian lahan, kemiringan lereng, jenis tanah, tutupan lahan, histori banjir, curah hujan, dan kerapatan sungai. Hasil dari penelitian ini didapatkan bahwa curah hujan memiliki pengaruh lebih besar terhadap banjir dengan bobot sebesar 0,5, diikuti dengan parameter lain yaitu kemiringan lereng 0,15, tutupan lahan 0,11, kerapatan sungai 0,1, histori banjir 0,07, ketinggian lahan 0,04, dan jenis tanah 0,03. Kemudian didapatkan tiga kelas potensi banjir yaitu potensi tinggi sebesar 3,04 km2, potensi sedang sebesar 90,42 km2, dan potensi rendah sebesar 9,41 km2. Wilayah yang berpotensi tinggi terhadap banjir adalah Kelurahan Arjosari, Purwodadi, Pandanwangi, Purwantoro, Blimbing, dan Bunulrejo yang terletak di Kecamatan Blimbing, Kelurahan Sawojajar di Kecamatan Kedungkandang, Kelurahan Jatimulyo, Tlogomas, Lowokwaru, Dinoyo, dan Ketawanggede di Kecamatan Lowokwaru, dan terakhir Kelurahan Penanggungan di Kecamatan Klojen. Peta potensi banjir Kota Malang hasil penelitian ini dibuat dalam skala 1:25.000.
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Floods are the most frequent natural disasters in Indonesia. According to the records of the National Disaster Management Agency (BNPB), there have been 1080 flood disasters in Indonesia throughout 2020. On January 18, 2021, the city of Malang was drenched in heavy rain, resulting in floods and landslides that left one person missing and 260 houses submerged by flood. With this disaster, it is necessary to analyze the causes of flooding and carry out prevention and mitigation by mapping the potential for flooding. This study uses the Analytical Hierarchy Process (AHP) weighting method. Parameters used include land height, slope, soil type, land cover, flood history, rainfall, and river density. The results of this study showed that rainfall has a greater influence on flooding with a weight of 0.5, followed by other parameters, namely slope 0.15, land cover 0.11, river density 0.1, flood history 0.07, land height is 0.04, and soil type is 0.03. Then obtained three classes of flood potential, namely high potential of 3.04 km2, medium potential of 90.42 km2, and low potential of 9.41 km2. Areas that have high potential for flooding are Arjosari Village, Purwodadi, Pandanwangi, Purwantoro, Blimbing, and Bunulrejo located in Blimbing District, Sawojajar Village in Kedungkandang District, Jatimulyo Village, Tlogomas, Lowokwaru, Dinoyo, and Ketawanggede in Lowokwaru District, and Penanggungan Village in Klojen District. The flood potential map of Malang City as a result of this study was made on a scale of 1:25.000.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Banjir, Analytical Hierarchy Process, Sistem Informasi Geografis Flood, Analytical Hierarchy Process, Geographic Information System
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems.
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Dwi Ramadhani
Date Deposited:	12 Aug 2021 10:33
Last Modified:	12 Aug 2021 10:33
URI:	http://repository.its.ac.id/id/eprint/86208

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