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Fractal analysis to determine JRC on sandstones and its correlation to SRF, Ende-Lianunu Regency, East Nusa Tenggara Province, Indonesia

International Journal of Advances in Applied Sciences · Vol. 12 No. 3 (2023) · pp. 214–225

DOI
10.11591/ijaas.v12.i3.pp214-225
ISSN
2722-2594, 2252-8814
Published
2023-09-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The study area is located in Ende-Lianunu Regency, East Nusa Tenggara Province, Indonesia, with mountainous and hilly morphology, and is part of the Kiro Formation which is composed of tuffaceous sandstones. Discontinuities in the sandstone are in the form of bedding planes and joints, which affect the mechanical properties of the rock mass, reduce its strength, and affect slope stability. The discontinuity condition that affects mechanical behavior is surface roughness. This research aims to define the fractal dimension value of surface roughness using a box-counting method, joint roughness coefficient (JRC), and simulate the strength reduction factor (SRF) value on slopes that have a certain JRC. The fractal dimension of fine-grained samples = 1.0010 and coarse-grained = 1.0056. The average JRC value is 6.25 (Range 4-6). Simulation at JRC 0-20, gives different SRF values. On slopes with JRC = 0, the critical SRF = 1.35. If JRC = 20, the critical SRF = 1.47. It can be inferred, that the fractal dimension of the roughness of the sliding plane correlates with JRC and SRF. As the fractal dimension value increases, so do the JRC and SRF values, resulting in more stable slope conditions.

Collaboration network of the authors

40 authors · 97 co-authorship links · 11 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.

  • Institut Agama Islam Negeri Kendari
  • Politeknik STTT Bandung
  • Sekolah Tinggi Agama Buddha Negeri Raden Wijaya Wonogiri
  • Jenderal Soedirman University
  • Universitas Pembangunan Nasional Veteran Yogyakarta
  • 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
Laode AnhusadarInstitut Agama Islam Negeri Kendari1
Ismaun IsmaunInstitut Agama Islam Negeri Kendari1
Zul ArhamInstitut Agama Islam Negeri Kendari1
Sutrisno SutrisnoSekolah Tinggi Agama Buddha Negeri Raden Wijaya Wonogiri1
TEZZA ADRIANSYAH ANWARAffiliation unknown1
Anik SarwantiAffiliation unknown1
SRI WAHYUNIAffiliation unknown1
Mursyidin MursyidinAffiliation unknown1
Halmuniati HalmuniatiInstitut Agama Islam Negeri Kendari1
La Ode AsminInstitut Agama Islam Negeri Kendari1
La IsaInstitut Agama Islam Negeri Kendari1
Burhan BurhanInstitut Agama Islam Negeri Kendari1
Zainuddin ZainuddinInstitut Agama Islam Negeri Kendari1
ANGELA MARIANA LUSIASTUTIAffiliation unknown1
Septyan AndriyantoAffiliation unknown1
Yani AryatiAffiliation unknown1
Tuti SumiatiAffiliation unknown1
NurhidayatAffiliation unknown1
Rofingah KuswatunAffiliation unknown1
Nining NuraeniAffiliation unknown1
Puji LestariJenderal Soedirman University1
Eko Teguh ParipurnoUniversitas Pembangunan Nasional Veteran Yogyakarta1
Puji PratiknyoAffiliation unknown1
Herry RiswandiAffiliation unknown1
Eni MuryaniAffiliation unknown1
Muhammad Faizal ZakariaAffiliation unknown1
Hanafiah HamidAffiliation unknown1
Azwar ThamrinAffiliation unknown1
Heru Sigit PurwantoAffiliation unknown1
Hernina HerninaUniversitas Halu Oleo1
Devi Ambarwati PuspitasariAffiliation unknown1
Yenny KarlinaAffiliation unknown1
Sutejo SutejoAffiliation unknown1
Agus Sri DanardanaAffiliation unknown1
Lalu Wira Pria SuhartanaAffiliation unknown1
Gannis Indra SetyawanAffiliation 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) http://ijaas.iaescore.com/index.php/IJAAS/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Fractal analysis to determine JRC on sandstones and its correlation to SRF, Ende-Lianunu Regency, East Nusa Tenggara Province, Indonesia</dc:title>
	<dc:creator>Vera, Tien Veny</dc:creator>
	<dc:creator>Kusumayudha, Sari Bahagiarti</dc:creator>
	<dc:creator>Saptono, Singgih</dc:creator>
	<dc:creator>Kurniawan, Kurniawan</dc:creator>
	<dc:description xml:lang="en-US">The study area is located in Ende-Lianunu Regency, East Nusa Tenggara Province, Indonesia, with mountainous and hilly morphology, and is part of the Kiro Formation which is composed of tuffaceous sandstones. Discontinuities in the sandstone are in the form of bedding planes and joints, which affect the mechanical properties of the rock mass, reduce its strength, and affect slope stability. The discontinuity condition that affects mechanical behavior is surface roughness. This research aims to define the fractal dimension value of surface roughness using a box-counting method, joint roughness coefficient (JRC), and simulate the strength reduction factor (SRF) value on slopes that have a certain JRC. The fractal dimension of fine-grained samples = 1.0010 and coarse-grained = 1.0056. The average JRC value is 6.25 (Range 4-6). Simulation at JRC 0-20, gives different SRF values. On slopes with JRC = 0, the critical SRF = 1.35. If JRC = 20, the critical SRF = 1.47. It can be inferred, that the fractal dimension of the roughness of the sliding plane correlates with JRC and SRF. As the fractal dimension value increases, so do the JRC and SRF values, resulting in more stable slope conditions.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2023-09-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://ijaas.iaescore.com/index.php/IJAAS/article/view/20890</dc:identifier>
	<dc:identifier>10.11591/ijaas.v12.i3.pp214-225</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Advances in Applied Sciences; Vol 12, No 3: September 2023; 214-225</dc:source>
	<dc:source>2722-2594</dc:source>
	<dc:source>2252-8814</dc:source>
	<dc:source>10.11591/ijaas.v12.i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijaas.iaescore.com/index.php/IJAAS/article/view/20890/13041</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Institute of Advanced Engineering and Science (IAES)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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