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PENERAPAN METODE UNIVERSAL KRIGING (UK) UNTUK PREDIKSI KONSENTRASI PARTICULATE MATTER 2.5 (PM2.5) DI KOTA BANDUNG

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 14 No. 2 (2020) · pp. 279–292

DOI
10.30598/barekengvol14iss2pp279-292
ISSN
2615-3017, 1978-7227
Published
2020-06-01
Publisher
PATTIMURA UNIVERSITY
Language
eng

Abstract

The tendency of increasing industrial and population activities in the city of Bandung causes a decrease in air quality. One material that causes air pollution which is very dangerous for health is particulate matter 2.5 (PM2.5). Efforts to control and overcome PM2.5 concentration are carried out through measurements in several locations. However, due to limitations of measuring devices and costs, so not all locations in the city of Bandung can be measured PM2.5 concentration. PM2.5 concentration data tends not to be stationary. Therefore it is necessary to interpolate the PM2.5 concentration data using the Universal Kriging method. In this paper, the Universal Kriging method can be applied to predict PM2.5 concentrations in locations that are not sampled because the observed PM2.5 concentration data are spatial data that have different PM2.5 concentrations at each location. Data were analyzed with the help of software R 3.5.3 and ArcGIS 10.4 to create contour maps. Based on the prediction results of PM2.5 concentrations at locations that were not sampled, obtained a first order trend equation is better used to predict PM2.5 concentrations because it has a minimum Universal Kriging error variance value compared to the second order trend equation. The results showed that the location with high PM2.5 concentration was in the northwest of Bandung City. Contour maps show locations that have low to high PM2.5 concentrations

Collaboration network of the authors

26 authors · 57 co-authorship links

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  • National Research and Innovation Agency
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Co-authorOrganisationJoint articles
Atje Setiawan AbdullahAffiliation unknown3
Putri MonikaAffiliation unknown2
Mutik AlawiyahAffiliation unknown2
Syifani AkmaliahAffiliation unknown2
Sri Adi WidodoAffiliation unknown2
Estiyan DwipriyokoAffiliation unknown2
Devi MunandarNational Research and Innovation Agency1
Christophorus SoetiknoAffiliation unknown1
Riza Andrian IbrahimAffiliation unknown1
Kankan ParmikantiAffiliation unknown1
Shabira A. AuliyazhafiraAffiliation unknown1
Fariza A. PutriAffiliation unknown1
Theresia S. NauliAffiliation unknown1
Aulia R. Al MadaniAffiliation unknown1
I Gede Nyoman Mindra JayaAffiliation unknown1
Annisa N. FalahAffiliation unknown1
Aulia Rahman Al MadaniAffiliation unknown1
Sandrina NajwaAffiliation unknown1
Edi KurniadiAffiliation unknown1
Eka OktaviansyahAffiliation unknown1
Gumgum DarmawanAffiliation unknown1
Ega SahertiAffiliation unknown1
Salwa Azzah ImtiyazAffiliation 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://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">PENERAPAN METODE UNIVERSAL KRIGING (UK)  UNTUK PREDIKSI KONSENTRASI PARTICULATE MATTER 2.5 (PM2.5)  DI KOTA BANDUNG</dc:title>
	<dc:creator>Putri, Salsabila Eka</dc:creator>
	<dc:creator>Kusuma, Dianne Amor</dc:creator>
	<dc:creator>Ruchjana, Budi Nurani</dc:creator>
	<dc:description xml:lang="en-US">The tendency of increasing industrial and population activities in the city of Bandung causes a decrease in air quality. One material that causes air pollution which is very dangerous for health is particulate matter 2.5 (PM2.5). Efforts to control and overcome PM2.5 concentration are carried out through measurements in several locations. However, due to limitations of measuring devices and costs, so not all locations in the city of Bandung can be measured PM2.5 concentration. PM2.5 concentration data tends not to be stationary. Therefore it is necessary to interpolate the PM2.5 concentration data using the Universal Kriging method. In this paper, the Universal Kriging method can be applied to predict PM2.5 concentrations in locations that are not sampled because the observed PM2.5 concentration data are spatial data that have different PM2.5 concentrations at each location. Data were analyzed with the help of software R 3.5.3 and ArcGIS 10.4 to create contour maps. Based on the prediction results of PM2.5 concentrations at locations that were not sampled, obtained a first order trend equation is better used to predict PM2.5 concentrations because it has a minimum Universal Kriging error variance value compared to the second order trend equation. The results showed that the location with high PM2.5 concentration was in the northwest of Bandung City. Contour maps show locations that have low to high PM2.5 concentrations</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2020-06-01</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://ojs3.unpatti.ac.id/index.php/barekeng/article/view/1869</dc:identifier>
	<dc:identifier>10.30598/barekengvol14iss2pp279-292</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 279-292</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol14iss2year2020</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/1869/2128</dc:relation>
</oai_dc:dc>