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Analysis of National Road Slope Risk Level Based on Geographic Information System

Sultra Civil Engineering Journal (SCiEJ) · Vol. 3 No. 2 (2022) · pp. 95–102

DOI
10.54297/sciej.v3i2.364
ISSN
2716-1714
Published
2022-10-27
Publisher
Universitas Sulawesi Tenggara
Language
eng
License
creativecommons.org/licenses/by/4.0

Abstract

The purpose of this study is to investigate the failure and instability of slopes, control and evaluate treatments and create slope data in a geographic information system as a planning data base to determine the level of risk, hazard consequences and the distribution of slopes along the National road in Konawe Selatan district. In this study using the Bina Marga slope survey method, which is to provide a score or value for each parameter measured in the field and a database is made using a geographic information system (GIS) to state the level of slope risk using the Bina Marga standard value. The results showed that the slopes spread on the Awunio – Lapuko and Lainea – Awunio National roads were dominated by artificial slopes, namely 4 embankment points and 5 excavation points and 1 natural slope point. From the results of the investigation and data collection on the slopes, the data is processed using the formula R = 0.9.H + C. where R is the risk level value, H is the hazard value and C is the consequence value. The conclusion from the above research results is that the slopes at the study site are dominated by artificial slopes with slope characteristics of soil, sand and weathered rock so that the slopes are unstable and have a high level of risk.

Collaboration network of the authors

40 authors · 122 co-authorship links · 4 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Sulawesi Tenggara
  • Institut Agama Islam Negeri Kendari
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Hujiyanto HujiyantoUniversitas Sulawesi Tenggara18
Catrin SudardjatUniversitas Sulawesi Tenggara12
Andi MakkawaruUniversitas Sulawesi Tenggara11
Sulaiman SulaimanUniversitas Sulawesi Tenggara10
Sitti HawaUniversitas Sulawesi Tenggara9
Hakiman HakimanUniversitas Sulawesi Tenggara8
Hado HadoUniversitas Sulawesi Tenggara6
Haryono HaryonoUniversitas Sulawesi Tenggara5
La Ode Musa RachmatUniversitas Sulawesi Tenggara5
Andi Makkawaru Isazarny JassinUniversitas Sulawesi Tenggara4
Muhammad MuhsarUniversitas Sulawesi Tenggara4
Sunaryo SunaryoUniversitas Sulawesi Tenggara3
La Ode Muhamad MagribiUniversitas Sulawesi Tenggara3
Lisman LismanUniversitas Sulawesi Tenggara3
Haryono HaryonoUniversitas Sulawesi Tenggara3
Komang Agus SaputraUniversitas Sulawesi Tenggara3
Andi Kukuh SetiawanUniversitas Sulawesi Tenggara3
Hayadi HayadiUniversitas Sulawesi Tenggara2
Syamsuddin SyamsuddinUniversitas Sulawesi Tenggara2
Fikri Aris MunandarUniversitas Sulawesi Tenggara2
La Ode Abdul MananUniversitas Sulawesi Tenggara2
Erni DanggiUniversitas Sulawesi Tenggara2
Syamsuddin SyamsuddinInstitut Agama Islam Negeri Kendari2
Sulaiman SulaimanUniversitas Sulawesi Tenggara2
Syamsuddin SyamsuddinUniversitas Sulawesi Tenggara2
La Ode BariunUniversitas Sulawesi Tenggara1
Humairah MuljabarUniversitas Sulawesi Tenggara1
La Ode Muhammad Isman Hardiansyah BariunAffiliation unknown1
Joko Tri BrataUniversitas Sulawesi Tenggara1
Arsalim ArsalimUniversitas Sulawesi Tenggara1
Aswad AswadUniversitas Sulawesi Tenggara1
Syamsuddin SyamsuddinUniversitas Sulawesi Tenggara1
Hado HadoUniversitas Sulawesi Tenggara1
Catrin SudardjatUniversitas Sulawesi Tenggara1
Syamsuddin SyamsuddinUniversitas Sulawesi Tenggara1
Sri Jayani SafitriUniversitas Sulawesi Tenggara1

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://jurnal-unsultra.ac.id/index.php/scej/oai, first harvested 30 Okt 2026, last seen 30 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Analysis of National Road Slope Risk Level Based on Geographic Information System</dc:title>
	<dc:creator>Menudi, La</dc:creator>
	<dc:creator>Lakawa, Irwan</dc:creator>
	<dc:creator>Sufrianto, Sufrianto</dc:creator>
	<dc:creator>Ilham, Vickky Anggara</dc:creator>
	<dc:description xml:lang="en-US">The purpose of this study is to investigate the failure and instability of slopes, control and evaluate treatments and create slope data in a geographic information system as a planning data base to determine the level of risk, hazard consequences and the distribution of slopes along the National road in Konawe Selatan district. In this study using the Bina Marga slope survey method, which is to provide a score or value for each parameter measured in the field and a database is made using a geographic information system (GIS) to state the level of slope risk using the Bina Marga standard value.
The results showed that the slopes spread on the Awunio – Lapuko and Lainea – Awunio National roads were dominated by artificial slopes, namely 4 embankment points and 5 excavation points and 1 natural slope point. From the results of the investigation and data collection on the slopes, the data is processed using the formula R = 0.9.H + C. where R is the risk level value, H is the hazard value and C is the consequence value. The conclusion from the above research results is that the slopes at the study site are dominated by artificial slopes with slope characteristics of soil, sand and weathered rock so that the slopes are unstable and have a high level of risk. </dc:description>
	<dc:publisher xml:lang="en-US">Universitas Sulawesi Tenggara</dc:publisher>
	<dc:date>2022-10-27</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jurnal-unsultra.ac.id/index.php/scej/article/view/364</dc:identifier>
	<dc:identifier>10.54297/sciej.v3i2.364</dc:identifier>
	<dc:source xml:lang="en-US">Sultra Civil Engineering Journal (SCiEJ); Vol 3 No 2 (2022): Sultra Civil Engineering Journal (SCiEJ); 95-102</dc:source>
	<dc:source>2716-1714</dc:source>
	<dc:source>10.54297/sciej.v3i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jurnal-unsultra.ac.id/index.php/scej/article/view/364/212</dc:relation>
	<dc:relation>10.54297/sciej.v3i2.364.g212</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 La Menudi, Irwan Lakawa, Sufrianto Sufrianto, Vickky Anggara Ilham</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by/4.0</dc:rights>
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