Geometric Anisotropic Semivariogram Modelling of Hotspot Confidence Levels in South Matan Hilir Subdistrict

Gumilang, Ari Ratna; Vantika, Sandy

doi:10.20956/j.v22i2.47762

Open access Jurnal

Geometric Anisotropic Semivariogram Modelling of Hotspot Confidence Levels in South Matan Hilir Subdistrict

Jurnal Matematika, Statistika dan Komputasi · Vol. 22 No. 2 (2026) · pp. 417–426

DOI: 10.20956/j.v22i2.47762
ISSN: 2614-8811, 1858-1382
Published: 2026-01-10
Publisher: Department of Mathematics, Hasanuddin University
Language: en
License: creativecommons.org/licenses/by/4.0

Abstract

The purpose of this research is to apply geometric anisotropic semivariogram modelling to confidence level of hotspots in South Matan Hilir Subdistrict, Ketapang Regency. The confidence level of hotspot can be used as an indicator of the likelihood of forest and land fires. A higher confidence level indicates a greater certainty that a fire has actually occurred at the hotspot location. The hotspot confidence level is spatial data because it is a random variable with an index location; therefore, the relationships among locations can be represented using a semivariogram model. A geometric anisotropic semivariogram model was employed in this study since the influence of direction exists in the distribution of hotspots. The results present that the exponential semivariogram model is the most suitable to represent the data, with the strongest spatial influence occurring in the north-south direction. Moreover, spatial dependence remains significant at a distance of 0.02027.

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Co-author	Organisation	Joint articles
Karunia Eka Lestari	Affiliation unknown	1
Mokhammad Ridwan Yudhanegara	Affiliation unknown	1
Husty Serviana Husain	Affiliation unknown	1
Sapto Wahyu Indratno	Affiliation unknown	1

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Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/jmsk/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.

Original metadata (oai_dc)

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	<dc:title xml:lang="en">Geometric Anisotropic Semivariogram Modelling of Hotspot Confidence Levels in South Matan Hilir Subdistrict</dc:title>
	<dc:creator xml:lang="en">Gumilang, Ari Ratna</dc:creator>
	<dc:creator xml:lang="en">Vantika, Sandy</dc:creator>
	<dc:subject xml:lang="en">confidence level</dc:subject>
	<dc:subject xml:lang="en">hotspots</dc:subject>
	<dc:subject xml:lang="en">geometric anisotropic semivariogram</dc:subject>
	<dc:description xml:lang="en">The purpose of this research is to apply geometric anisotropic semivariogram modelling to confidence level of hotspots in South Matan Hilir Subdistrict, Ketapang Regency. The confidence level of hotspot can be used as an indicator of the likelihood of forest and land fires. A higher confidence level indicates a greater certainty that a fire has actually occurred at the hotspot location. The hotspot confidence level is spatial data because it is a random variable with an index location; therefore, the relationships among locations can be represented using a semivariogram model. A geometric anisotropic semivariogram model was employed in this study since the influence of direction exists in the distribution of hotspots. The results present that the exponential semivariogram model is the most suitable to represent the data, with the strongest spatial influence occurring in the north-south direction. Moreover, spatial dependence remains significant at a distance of 0.02027 .</dc:description>
	<dc:publisher xml:lang="en">Department of Mathematics, Hasanuddin University</dc:publisher>
	<dc:date>2026-01-10</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/jmsk/article/view/47762</dc:identifier>
	<dc:identifier>10.20956/j.v22i2.47762</dc:identifier>
	<dc:source xml:lang="en">Jurnal Matematika, Statistika dan Komputasi; Vol. 22 No. 2 (2026): JANUARY 2026; 417-426</dc:source>
	<dc:source>2614-8811</dc:source>
	<dc:source>1858-1382</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jmsk/article/view/47762/13994</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Jurnal Matematika, Statistika dan Komputasi</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
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