Pemetaan Orthophoto Untuk Rencana Pembuatan Peta Rawan Longsor

Adkha Yulianandha Mabrur, Silvester Sari Sai, Fransisca Dwi Agustina

Abstract


Landslides are one of the natural disasters that often occur in Indonesia. The area can be seen geologically by having a hilly land surface with quite steep soil conditions. Several factors cause landslides such as rainfall, sloping slopes, soil type, and the presence of vibration. One region that is classified as a landslides prone area is Pandansari Village, Ngantang District, Malang Regency. This is because some areas of Malang Regency are hills with quite steep land slopes, erratic rainfall conditions and land used that is not under the type of soil. The process of data sampling and processing is carried out by utilizing photogrammetric mapping and Geographic Information Systems in identifying landslide disasters. The processed data is the result of the photogrammetric mapping, namely orthophoto and DEM which can later be used for the landslide identification process. The results of the research in the first year are in the form of orthophoto which will later be used as data for making landslide-prone maps for the Pandansari Village area, Ngantang District, Malang Regency, and landslide-prone maps by utilizing the required data parameters as supporting data for identifying the level of landslide susceptibility. This study will be useful for the of the Pandansari Villager, Ngantang District, Malang Regency to determine the level of vulnerability from low to very vulnerable class, so people can anticipate landslides.


Keywords


Orthophoto; Landslide Map; GIS

Full Text:

PDF

References


Azeriansyah, Prasetyo, Yuwono. 2017. Analisis Identifikasi Dampak Bencana Tanah Longsor Dengan Menggunakan Unmanned Aerial Vehicle (Uav). Departemen Teknik Geodesi Fakultas Teknik Universitas Diponegoro.

Badan Nasional Penanggulangan Bencana (BNPB). 2012. Peraturan Kepala Badan Nasional Penanggulangan Bencana Nomor 2 Tentang Pedoman Umum Pengkajian Risiko Bencana.

Kementerian Pekerjaan Umum. 2012. Pedoman Pembuatan Peta Rawan Longsor dan Banjir Bandang Akibat Runtuhnya Bendungan Alam.

Malangtimes. 2020. https://www.malangtimes.com/baca/49726/20200303/202600/index.html?PageSpeed=noscript, diakses 2 Maret 2021

Subaryono, Harintaka, dan Kurniawan, E., 2008, Evaluasi Pembuatan Mosaik Foto Udara Format Kecil Tidak Terkontrol menggunakan Perangkat Lunak Desain Grafis Komersial, Media Teknik No.3 Tahun XXX Edisi Agustus 2008 ISSN 0216-3012, Universitas Gadjah Mada, Yogyakarta

Suryo, Bagus. 2021. https://mediaindonesia.com/nusantara/375347/banjir-bandang-terjang-malang, diakses 10 Maret 2021

Tjahjadi, Sari Sai, Purwanto. 2015. Sistem Peringatan Dini Pemantauan Tanah Longsor Berbasis Teknologi Vision dan Geomatika. Institut Teknologi Nasional Malang.

Wolf, P., R. 1993. “Elemen Fotogrametri dengan Interpretasi Foto Udara dan Penginderaan Jauhâ€, Penerjemah: Gunadi, Gunawan, T., Zuharnen, Edisi kedua, Gadjah Mada University Press, Yogyakarta.




DOI: http://dx.doi.org/10.33087/jiubj.v22i1.1860

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

ADRESS JOURNAL

JURNAL ILMIAH UNIVERSITAS BATANGHARI JAMBI (JIUBJ)
Published by Lembaga Penelitian dan Pengabdian kepada Masyarakat
Adress: Jl.Slamet Ryadi, Broni-Jambi, Kec.Telanaipura, Kodepos: 36122, email: jiubj.unbari@gmail.com, Phone: 0741-670700

Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.