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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

32 authors · 75 co-authorship links · 16 across different organisations

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

  • Padjadjaran University
  • Universitas Katolik Widya Mandira
  • Tun Hussein Onn University of Malaysia
  • Universitas Subang
  • Leiden University
  • National Research and Innovation Agency
  • University of Sarjanawiyata Tamansiswa
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Atje Setiawan AbdullahPadjadjaran University3
Estiyan DwipriyokoTun Hussein Onn University of Malaysia3
Putri MonikaPadjadjaran University2
Aulia Rahman Al MadaniPadjadjaran University2
Mutik AlawiyahPadjadjaran University2
Syifani AkmaliahPadjadjaran University2
Sri Adi WidodoUniversity of Sarjanawiyata Tamansiswa2
Nita DelimaUniversitas Subang1
Erick PaulusLeiden University1
Samuel Igo LetonUniversitas Katolik Widya Mandira1
Kristoforus Djawa DjongUniversitas Katolik Widya Mandira1
Wilfridus Beda Nuba DosinaengUniversitas Katolik Widya Mandira1
Meryani LakapuUniversitas Katolik Widya Mandira1
Yohanes Ovaritus JagomUniversitas Katolik Widya Mandira1
Devi MunandarNational Research and Innovation Agency1
Christophorus SoetiknoPadjadjaran University1
Riza Andrian IbrahimPadjadjaran University1
Kankan ParmikantiPadjadjaran University1
Shabira A. AuliyazhafiraPadjadjaran University1
Fariza Alamanda PutriPadjadjaran University1
Theresia S. NauliPadjadjaran University1
I Gede Nyoman Mindra JayaPadjadjaran University1
Annisa Nur FalahPadjadjaran University1
Sandrina NajwaPadjadjaran University1
Edi KurniadiPadjadjaran University1
Eka OktaviansyahPadjadjaran University1
Ega SahertiPadjadjaran University1
Salwa Azzah ImtiyazPadjadjaran University1
Gumgum DarmawanPadjadjaran University1

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 8 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>
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	<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>
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