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ESTIMATING THE CONCENTRATION OF NO2 WITH THE COKRIGING METHOD IN THE CAPITAL CITY OF JAKARTA

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 4 (2023) · pp. 1985–1996

DOI
10.30598/barekengvol17iss4pp1985-1996
ISSN
2615-3017, 1978-7227
Published
2023-12-20
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The increase in transportation activities is the leading cause of the emergence of the air pollution risk, which harms public health. especially in big cities. Nitrogen Dioxide (NO2) gas is one of the critical factors explaining air pollution. NO2 contributes to particle pollution and acid deposits and is a precursor of ozone, the leading cause of photochemical smog. Meanwhile, Sulfur Dioxide (SO2) is another substance that is a source of pollutants and can cause acid rain and aerosolized sulfate particle pollution. Therefore, it is necessary to estimate the concentration of pollutants, especially NO2. One method that can be used in this estimation is Cokriging, which considers secondary variables to record primary variables. Based on the results obtained, the Cokriging analysis shows that the estimation of NO2 content in the five predicted areas, namely Tanjung Priok, Johar Baru, Gelora Bung Karno, Pancoran, Halim Perdanakusuma, has a quality standard value below 80 µppm (quality standard value set by the BMKG). In summary, the research unveils variations in SO2 and NO2 levels across distinct regions in Jakarta, with Monas recording the highest SO2 levels (10 μppm), while Grogol exhibits the lowest NO2 levels (16 μppm). The average SO2 level among all surveyed areas is 5.875 μppm, while NO2 averages 17.375 μppm. These findings emphasize the pressing need to implement measures aimed at preserving air quality within the limits established by government standards. Additionally, Cokriging estimates reveal that the content of NO2 in Tanjung Priok, a coastal area, significantly deviates from estimations in other Jakarta areas and ranks as the highest among the locations studied, with GBK displaying the lowest content.

Collaboration network of the authors

40 authors · 125 co-authorship links · showing the 40 most connected

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  • Universitas Airlangga
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Nur ChamidahUniversitas Airlangga8
Suliyanto SuliyantoUniversitas Airlangga4
Rien RecyliaUniversitas Airlangga2
Ardi KurniawanUniversitas Airlangga2
Belindha Ayu ArdhaniUniversitas Airlangga1
Naufal Ramadhan Al Akhwal SiregarUniversitas Airlangga1
Muhammad Fikry Al FariziUniversitas Airlangga1
Bagas Shata PratamaUniversitas Airlangga1
Muhammad Hilmi FibryanUniversitas Airlangga1
Anggara Teguh PrevianUniversitas Airlangga1
Nina AuliyahUniversitas Airlangga1
Fatiha Nadia SalsabilaUniversitas Airlangga1
Mubadi'ul FitrianiUniversitas Airlangga1
Azizatul KholidiyahUniversitas Airlangga1
Fildzah Tri Januar ArianiUniversitas Airlangga1
Mochammad Bayu FirmansyahUniversitas Airlangga1
Muhammad Fariz Fadillah MardiantoUniversitas Airlangga1
Marisa RifadaUniversitas Airlangga1
Karina Rubita MakhbubahUniversitas Airlangga1
Devira Thania RamadhantyUniversitas Airlangga1
Galuh Cahya NugrahaUniversitas Airlangga1
Hanny ValidaUniversitas Airlangga1
Muhammad Hafidzuddin NaharUniversitas Airlangga1
Regina FortunataUniversitas Airlangga1
Any Tsalasatul FitriyahUniversitas Airlangga1
Sabrina Salsa OktaviaUniversitas Airlangga1
Nabila NurdinUniversitas Airlangga1
Bryan Given Christiano GinzelUniversitas Airlangga1
Jovansha AriyawanUniversitas Airlangga1
Mohammad Noufal UbadahUniversitas Airlangga1
Sediono SedionoUniversitas Airlangga1
Maria Setya DewantiUniversitas Airlangga1
Aurelia Islami AzisUniversitas Airlangga1
Gabriella Agnes BudijonoUniversitas Airlangga1
Azizah Atsariyyah ZhafiraUniversitas Airlangga1
Rivaldi SihiteUniversitas Airlangga1

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)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">ESTIMATING THE CONCENTRATION OF NO2 WITH THE COKRIGING METHOD IN THE CAPITAL CITY OF JAKARTA</dc:title>
	<dc:creator>Saifudin, Toha</dc:creator>
	<dc:creator>Faiza, Atikah</dc:creator>
	<dc:creator>Puspasari, Laili</dc:creator>
	<dc:creator>Nurrohmah, Zidni 'Ilmatun</dc:creator>
	<dc:description xml:lang="en-US">The increase in transportation activities is the leading cause of the emergence of the air pollution risk, which harms public health. especially in big cities. Nitrogen Dioxide (NO2) gas is one of the critical factors explaining air pollution. NO2 contributes to particle pollution and acid deposits and is a precursor of ozone, the leading cause of photochemical smog. Meanwhile, Sulfur Dioxide (SO2) is another substance that is a source of pollutants and can cause acid rain and aerosolized sulfate particle pollution. Therefore, it is necessary to estimate the concentration of pollutants, especially NO2. One method that can be used in this estimation is Cokriging, which considers secondary variables to record primary variables. Based on the results obtained, the Cokriging analysis shows that the estimation of NO2 content in the five predicted areas, namely Tanjung Priok, Johar Baru, Gelora Bung Karno, Pancoran, Halim Perdanakusuma, has a quality standard value below 80 µppm (quality standard value set by the BMKG). In summary, the research unveils variations in SO2 and NO2 levels across distinct regions in Jakarta, with Monas recording the highest SO2 levels (10 μppm), while Grogol exhibits the lowest NO2 levels (16 μppm). The average SO2 level among all surveyed areas is 5.875 μppm, while NO2 averages 17.375 μppm. These findings emphasize the pressing need to implement measures aimed at preserving air quality within the limits established by government standards. Additionally, Cokriging estimates reveal that the content of NO2 in Tanjung Priok, a coastal area, significantly deviates from estimations in other Jakarta areas and ranks as the highest among the locations studied, with GBK displaying the lowest content.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2023-12-20</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/9107</dc:identifier>
	<dc:identifier>10.30598/barekengvol17iss4pp1985-1996</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications; 1985-1996</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol17iss4year2023</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/9107/7173</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Toha Saifudin, Atikah Faiza, Laili Puspasari, Zidni 'Ilmatun Nurrohmah</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>