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PEMANFAATAN PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFIS UNTUK PEMETAAN BENTUK LAHAN DI DAS MORAMO

Jurnal Agroteknos · Vol. 2 No. 1 (2023)

DOI
10.56189/ja.v2i1.2256
ISSN
2527-4074
Published
2023-06-09
Publisher
Fakultas Pertanian Universitas Halu Oleo
Language
eng

Abstract

Research on utilization of remote sensing and geographic information system for mapping landforms in the watershed (DAS) Moramo. The research was conducted on Moramo basin, District of Moramo South Konawe. This research was conducted with image processing techniques on the image of ALOS AVNIR-2 and visual interpretation was based on analytic approach with the help of Geographic Information Systems for on screen digitizing. The research result obtained 15 (fifteen ) units of landforms, namely: Alluvial plain (F1), Alluvial Plain-Koluvial (F1.1), Flood Plain (F7), Alluvial Plain Briny Beach ( M11), Structural Terdenudasi Eroded hills Strong (D1/4), Structural Terdenudasi Eroded Hills Moderate (D1/3), Eroded Hills Terdenudasi Structural Lightweight (D1/2), Eroded Hills Isolated Strong (D4/4), Barely Plain (peneplain) Eroded Very Lightweight (D5/1), Slope Leg Eroded hills Structural Terdenudasi Strong (D7/4), Slope Foot hills Eroded Structural Terdenudasi Medium (D7/3), Slope Foot hills Terdenudasi Eroded Structural Lightweight (D7/2), Piedmont Eroded Lightweight (D9/2), Piedmont Eroded Very Light (D9/1) and the hills Dome (Dome) Eroded Strong (S11/4). Based on their genesis, they were grouped into four landforms: marine origin, the origin of fluvial landforms, landforms denudasional origin, and the origin of structural landforms. Accuracy of landform interpretation was 89,06 % and processing of the composite image 341 had an excellent capability to identify the location of landforms in the study area of watershed Moramo. Keyword: remote sensing, GIS, watershed, image processing, landform mapping

Collaboration network of the authors

40 authors · 124 co-authorship links · showing the 40 most connected

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  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sahta GintingUniversitas Halu Oleo7
Djafar MeyAffiliation unknown6
Namriah NamriahUniversitas Halu Oleo6
Hasbullah SyafAffiliation unknown6
Resman ResmanAffiliation unknown4
Fitriani FitrianiAffiliation unknown3
Irfan IdoAffiliation unknown3
La Ode HadiniAffiliation unknown3
Darwis DarwisUniversitas Halu Oleo3
la Ode RustamAffiliation unknown3
M. Tufaila .Affiliation unknown3
ZULFIKAR ZULFIKARUniversitas Halu Oleo2
Ahmad HidayatAffiliation unknown2
Irvandi Arya BrataAffiliation unknown2
La Ode NafiuUniversitas Halu Oleo1
Musram AbadiUniversitas Halu Oleo1
Lies IndriyaniAffiliation unknown1
Amira IsmiaAffiliation unknown1
wa Ode YusriaAffiliation unknown1
Ahmad IskandarAffiliation unknown1
Najar NajarAffiliation unknown1
YUnarni YunarniAffiliation unknown1
Wahab WahabUniversitas Halu Oleo1
Erwin AnshariUniversitas Halu Oleo1
Fitra SalehUniversitas Halu Oleo1
Marwan ZamiliUniversitas Halu Oleo1
Dewi Nurhayati YusufUniversitas Halu Oleo1
NURMA ADEAffiliation unknown1
FIRA SYAWALLIA AZZAHRAAffiliation unknown1
Ramli HadunAffiliation unknown1
Aqshan SadikinAffiliation unknown1
MUHIDIN MUHIDINUniversitas Halu Oleo1
La Ode Kasno ArifAffiliation unknown1
La Ode SafuanUniversitas Halu Oleo1
Golok JayaAffiliation unknown1
Rumiani RumianiAffiliation unknown1
Fitrani FitrianiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs.uho.ac.id/index.php/agroteknos/oai, first harvested 31 Okt 2026, last seen 31 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">PEMANFAATAN PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFIS UNTUK PEMETAAN BENTUK LAHAN DI DAS MORAMO</dc:title>
	<dc:creator>Tufaila, Muh.</dc:creator>
	<dc:creator>Karim, Jufri</dc:creator>
	<dc:creator>Alam, Syamsu</dc:creator>
	<dc:description xml:lang="en-US">Research on utilization of remote sensing and geographic information system for mapping landforms in the watershed (DAS) Moramo . The research was conducted on Moramo basin, District of Moramo South Konawe . This research was conducted with image processing techniques on the image of ALOS AVNIR-2 and visual interpretation was based on analytic approach with the help of Geographic Information Systems for on screen digitizing . The research result obtained 15 (fifteen ) units of landforms, namely: Alluvial plain (F1), Alluvial Plain-Koluvial (F1.1), Flood Plain (F7), Alluvial Plain Briny Beach ( M11), Structural Terdenudasi Eroded hills Strong (D1/4), Structural Terdenudasi Eroded Hills Moderate (D1/3), Eroded Hills Terdenudasi Structural Lightweight (D1/2) , Eroded Hills Isolated Strong (D4/4), Barely Plain (peneplain) Eroded Very Lightweight (D5/1), Slope Leg Eroded hills Structural Terdenudasi Strong (D7/4), Slope Foot hills Eroded Structural Terdenudasi Medium (D7/3), Slope Foot hills Terdenudasi Eroded Structural Lightweight (D7/2), Piedmont Eroded Lightweight (D9/2), Piedmont Eroded Very Light (D9/1) and the hills Dome (Dome) Eroded Strong (S11/4). Based on their genesis, they were grouped into four landforms : marine origin, the origin of fluvial landforms, landforms denudasional origin, and the origin of structural landforms. Accuracy of landform interpretation was 89,06 % and processing of the composite image 341 had an excellent capability to identify the location of landforms in the study area of watershed Moramo. Keyword : remote sensing, GIS, watershed, image processing, landform mapping</dc:description>
	<dc:publisher xml:lang="en-US">Fakultas Pertanian Universitas Halu Oleo</dc:publisher>
	<dc:contributor xml:lang="en-US">Fakultas Pertanian Universitas Halu Oleo</dc:contributor>
	<dc:date>2023-06-09</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-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs.uho.ac.id/index.php/agroteknos/article/view/2256</dc:identifier>
	<dc:identifier>10.56189/ja.v2i1.2256</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Agroteknos; Vol 2, No 1 (2012)</dc:source>
	<dc:source>2527-4074</dc:source>
	<dc:source>10.56189/ja.v2i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/agroteknos/article/view/2256/1623</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Jurnal Agroteknos</dc:rights>
</oai_dc:dc>