Melola Discovery

← Melola Discovery

Akses terbuka Jurnal SINTA 1

Mapping of Land Surface Deformation Using Ps-Insar for Disaster Risk Management in the Future

Jurnal Geografi · Vol. 16 No. 2 (2024) · hlm. 181–202

DOI
10.24114/jg.v16i2.42810
ISSN
2549-7057, 2085-8167
Terbit
2024-07-12
Penerbit
Universitas Negeri Medan
Bahasa
en
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Inggris

DKI Jakarta is experiencing land subsidence due to overexploitation of its use and the increasing population. It is feared that this decline or deformation will occur in the location of the new national capital. The research objective is "Mapping of Land Surface Deformation using PS-InSAR for Disaster Risk Management in the Future." Quantitative and qualitative research and data collection methods use secondary and primary data. Secondary data in the form of Permanent Scatterers Interferometry Synthetic Aperture Radar (PS-InSAR) Sentinel-1A images to determine soil deformation. Primary data uses a questionnaire to assess disaster risk management. Data analysis uses spatial and statistical analysis. Spatial analysis for land deformation mapping and statistical analysis for risk management. The results showed that the pattern of land deformation before the determination of the location of the capital city of Indonesia was random. On the other hand, after decision-making, it appears to be more systematic and homogeneous in adjacent areas with a decreasing range of about 5 cm per year. Other findings show that disaster risk management carried out by several agencies, especially the problem of land deformation in East Kalimantan, is still far from expectations and very minimal. The findings can be used for future disaster risk management to minimize negative impacts and reduce disaster risk.Keywords: PS-INSAR; Land Deformation; Capital City; Disaster Risk Management

Inggris

DKI Jakarta is experiencing land subsidence due to overexploitation of its use and the increasing population. It is feared that this decline or deformation will occur in the location of the new national capital. The research objective is "Mapping of Land Surface Deformation using PS-InSAR for Disaster Risk Management in the Future." Quantitative and qualitative research and data collection methods use secondary and primary data. Secondary data in the form of Permanent Scatterers Interferometry Synthetic Aperture Radar (PS-InSAR) Sentinel-1A images to determine soil deformation. Primary data uses a questionnaire to assess disaster risk management. Data analysis uses spatial and statistical analysis. Spatial analysis for land deformation mapping and statistical analysis for risk management. The results showed that the pattern of land deformation before the determination of the location of the capital city of Indonesia was random. On the other hand, after decision-making, it appears to be more systematic and homogeneous in adjacent areas with a decreasing range of about 5 cm per year. Other findings show that disaster risk management carried out by several agencies, especially the problem of land deformation in East Kalimantan, is still far from expectations and very minimal. The findings can be used for future disaster risk management to minimize negative impacts and reduce disaster risk.Keywords: PS-INSAR; Land Deformation; Capital City; Disaster Risk Management

Jaringan kolaborasi para penulis

31 penulis · 124 tautan kepenulisan bersama · 45 lintas organisasi

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Lambung Mangkurat University
  • Universitas Gadjah Mada
  • Sultan Idris Education University
  • State University of Semarang
  • Cenderawasih University
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Eko Budi SetiawanLambung Mangkurat University1
Noor Aida AzizahLambung Mangkurat University1
Arfa Agustina RezekiahLambung Mangkurat University1
Abdi FithriaLambung Mangkurat University1
Rina KantiLambung Mangkurat University1
Eva PrihatiningtyasAfiliasi tidak diketahui1
A PribadiLambung Mangkurat University1
Naufal Noor KamilLambung Mangkurat University1
Badaruddin .Afiliasi tidak diketahui1
Puji HardatiState University of Semarang1
Su RitohardoyoUniversitas Gadjah Mada1
Projo DanoedoroUniversitas Gadjah Mada1
Hartono HartonoUniversitas Gadjah Mada1
Nasruddin NasruddinCenderawasih University1
Nasir NayanSultan Idris Education University1
Hanifah MahatSultan Idris Education University1
Saiyidatina Balkhis NorkhaidiSultan Idris Education University1
Mohmadisa HashimSultan Idris Education University1
Yazid SalehSultan Idris Education University1
Yulian Firmana ArifinLambung Mangkurat University1
Ellyn NormelaniLambung Mangkurat University1
Norma Yuni KartikaLambung Mangkurat University1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://jurnal.unimed.ac.id/2012/index.php/geo/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Mapping of Land Surface Deformation Using Ps-Insar for Disaster Risk Management in the Future</dc:title>
	<dc:title xml:lang="en-US">Mapping of Land Surface Deformation Using Ps-Insar for Disaster Risk Management in the Future</dc:title>
	<dc:creator xml:lang="en">Kumalawati, Rosalina</dc:creator>
	<dc:creator xml:lang="en">Ali, Syamani D</dc:creator>
	<dc:creator xml:lang="en">Yuliarti, Astinana</dc:creator>
	<dc:creator xml:lang="en">Raharjo, Jany Tri</dc:creator>
	<dc:creator xml:lang="en">Rijanta, Rijanta</dc:creator>
	<dc:creator xml:lang="en">Saputra, Erlis</dc:creator>
	<dc:creator xml:lang="en">Susanti, Ari</dc:creator>
	<dc:creator xml:lang="en">Budiman, Puput Wahyu</dc:creator>
	<dc:creator xml:lang="en">Anggraini, Rizky Nurita</dc:creator>
	<dc:description xml:lang="en">DKI Jakarta is experiencing land subsidence due to overexploitation of its use and the increasing population. It is feared that this decline or deformation will occur in the location of the new national capital. The research objective is "Mapping of Land Surface Deformation using PS-InSAR for Disaster Risk Management in the Future." Quantitative and qualitative research and data collection methods use secondary and primary data. Secondary data in the form of Permanent Scatterers Interferometry Synthetic Aperture Radar (PS-InSAR) Sentinel-1A images to determine soil deformation. Primary data uses a questionnaire to assess disaster risk management. Data analysis uses spatial and statistical analysis. Spatial analysis for land deformation mapping and statistical analysis for risk management. The results showed that the pattern of land deformation before the determination of the location of the capital city of Indonesia was random. On the other hand, after decision-making, it appears to be more systematic and homogeneous in adjacent areas with a decreasing range of about 5 cm per year. Other findings show that disaster risk management carried out by several agencies, especially the problem of land deformation in East Kalimantan, is still far from expectations and very minimal. The findings can be used for future disaster risk management to minimize negative impacts and reduce disaster risk.Keywords: PS-INSAR; Land Deformation; Capital City; Disaster Risk Management</dc:description>
	<dc:description xml:lang="en-US">DKI Jakarta is experiencing land subsidence due to overexploitation of its use and the increasing population. It is feared that this decline or deformation will occur in the location of the new national capital. The research objective is "Mapping of Land Surface Deformation using PS-InSAR for Disaster Risk Management in the Future." Quantitative and qualitative research and data collection methods use secondary and primary data. Secondary data in the form of Permanent Scatterers Interferometry Synthetic Aperture Radar (PS-InSAR) Sentinel-1A images to determine soil deformation. Primary data uses a questionnaire to assess disaster risk management. Data analysis uses spatial and statistical analysis. Spatial analysis for land deformation mapping and statistical analysis for risk management. The results showed that the pattern of land deformation before the determination of the location of the capital city of Indonesia was random. On the other hand, after decision-making, it appears to be more systematic and homogeneous in adjacent areas with a decreasing range of about 5 cm per year. Other findings show that disaster risk management carried out by several agencies, especially the problem of land deformation in East Kalimantan, is still far from expectations and very minimal. The findings can be used for future disaster risk management to minimize negative impacts and reduce disaster risk.Keywords: PS-INSAR; Land Deformation; Capital City; Disaster Risk Management</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Medan</dc:publisher>
	<dc:date>2024-07-12</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jurnal.unimed.ac.id/2012/index.php/geo/article/view/42810</dc:identifier>
	<dc:identifier>10.24114/jg.v16i2.42810</dc:identifier>
	<dc:source xml:lang="en">JURNAL GEOGRAFI; Vol. 16 No. 2 (2024): JURNAL GEOGRAFI; 181-202</dc:source>
	<dc:source>2549-7057</dc:source>
	<dc:source>2085-8167</dc:source>
	<dc:source>10.24114/jg.v16i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://jurnal.unimed.ac.id/2012/index.php/geo/article/view/42810/pdf</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 JURNAL GEOGRAFI</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>