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Analisis Daerah Tergenang Banjir Di Desa Sitiarjo, Kabupaten Malang Menggunakan Data SAR (Synthetic Aperture Radar) Sentinel-1 Irfan Helmi Pradana; Listyo Yudha Irawan; Dicky Setiawan; Fajar Setiawan Yuliano; Hanifa Ahmad Mufid
Jurnal Georafflesia: Artikel Ilmiah Pendidikan Geografi Vol 5 No 1 (2020)
Publisher : Universitas Prof. Dr. Hazairin, S.H

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32663/georaf.v5i1.1347

Abstract

Penelitian mengenai bahaya banjir di Desa Sitiarjo, Kecamatan Sumbermanjing, Kabupaten Malang sangat urgensi untuk dilakukan. Salah satu penyebab pentingnya penelitian ini dilakukan adalah untuk mengetahui luasan daerah yang tergenang (terinundasi) banjir. Analisis daerah yang terdampak genangan banjir dilakukan menggunakan pendekatan penginderaan jauh dengan pengolahan dan interpretasi data SAR (Synthetic Aperture Radar) yang bersumber dari citra satelit Sentinel-1. Data SAR Sentinel-1 yang digunakan diakuisisi tanggal 20 November 2014 dan tanggal 28 Desember 2014. Pemilihan kedua tanggal tersebut untuk membandingkan kondisi sebelum tergenang banjir dan sesudah atau saat tergenang banjir. Banjir yang terjadi pada Desa Sitiarjo dikarenakan oleh kondisi morfologi yang berupa cekungan (basin) yang dikelilingi tebing karst curam serta meluapnya Sungai Penguluran akibat penyempitan lebar aliran sungai bagian hulu (bottleneck outlet) di kawasan pesisir selatan Kabupaten Malang. Hasil akhir dari penelitian ini berupa peta daerah tergenang banjir yang didasarkan pada tiga (3) aspek : 1) topografi, 2) tingkat kejenuhan air pada tanah (soil saturation), dan 3) area tergenang banjir. Wilayah yang tergenang banjir divisualisasikan warna merah terang hingga merah tua.
ANALISIS KEBUTUHAN IRIGASI LAHAN PERTANIAN KANAL PORONG DI KABUPATEN SIDOARJO MENGGUNAKAN CROPWAT 8.0 Nur Afifah Anshori; Siti Sarah Rodhiah Mariza; Titah Indit Pakarti; Ferryati Masitoh; Fajar Setiawan Yuliano
JURNAL GEOGRAFI Vol 11 No 1 (2022)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/geografi/vol11-iss1/2544

Abstract

Porong Canal is one of the irrigation network systems originating from the Lengkong Baru Weir which flows an irrigation area of 11,059 hectares in the Brantas Hilir Subwatershed. The need for irrigation in planting is very important because it is related to the availability of water and local climatic conditions. For this reason, research on cropping patterns and water requirements was carried out using the Cropwat software. Based on the research results, the Porong Canal irrigation area may have a rice-rice-corn cropping pattern. The total water requirement of plants at planting period 1 (paddy) was 562.4 mm thick, planting period 2 (rice) was 200.6 mm thick, and planting period 3 (corn) was 431.4 mm thick. Based on the water requirement, a irrigation plan is carried out every ten days with a total thickness of irrigation at the planting period of 1 thick (400.9 mm), planting period 2 (146 mm), and planting period 3 (276 mm). Provision of irrigation water every decade of the day is different depending on the growth phase. Total irrigation is different for each planting due to seasonal factors (rainfall), evapotranspiration, soil physical properties and crop coefficients.
Toward Effective Disaster Management and Urban Planning: A GIS-Based Spatial Analysis of Historical Disaster Data in Malang Municipality M. Kahfi Maulana Anggara; Rian Agusdian; Gilang Aulia Herlambang; Fajar Setiawan Yuliano
PANGRIPTA Vol. 8 No. 2 (2025): Pangripta Jurnal Ilmiah Kajian Perencanaan Pembangunan
Publisher : Badan Perencanaan Pembangunan Kota Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.859 KB) | DOI: 10.58411/5vs2ce56

Abstract

The provision of data and information today is essential not only for generating statistical figures but also for supporting decision- making based on in-depth analysis. In the context of disaster management, spatial data plays a crucial role in identifying the distribution, characteristics, and patterns of affected areas. This research aims to analyze the historical records of disaster events in Malang Municipality spatially using a Geographic Information System (GIS). The data used consists of disaster incidents from 2020 to 2024, which were processed into spatial format and analyzed through spatial join functions to generate distribution maps and frequency summaries by administrative region. The results show that Klojen District recorded the highest number of disaster events with 360 incidents (169 floods, 123 extreme weather events, and 68 landslides). The distribution patterns indicate that floods are scattered randomly, landslides are concentrated along rivers and slopes, while extreme weather events show both linear patterns along roads with dense vegetation and random patterns in residential areas due to the dynamic nature of wind. These findings highlight the importance of preparedness and spatially-based mitigation strategies that consider the characteristics of the affected areas and historical disaster data.