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Urban Transportation and Rising CO Emissions: A Case Study of East Jakarta and its Public Health Impacts

Journal of Public Health and Pharmacy · Vol. 5 No. 1 (2025) · hlm. 150–157

DOI
10.56338/jphp.v5i1.6823
ISSN
2775-4952
Terbit
2025-02-27
Penerbit
Pusat Pengembangan Teknologi Informasi dan Jurnal Universitas Muhammadiyah Palu
Bahasa
eng

Abstrak

Introduction: Carbon monoxide (CO) emissions from urban transportation present a critical challenge for air quality, public health, and environmental sustainability. East Jakarta, with its rapid motorization and chronic traffic congestion, serves as a case study for the broader impacts of urban CO pollution. This study investigates the correlation between CO levels and traffic density, providing empirical insights into the dynamics of transportation-driven air pollution in densely populated cities. Methods: A quantitative cross-sectional study was conducted in July 2024, measuring CO concentrations at 15 strategic locations using calibrated CO meters. Sampling sites were selected based on traffic volume, population exposure, and historical emission data to ensure a comprehensive urban representation. Data analysis included descriptive statistics, normality tests, and regression analysis to evaluate relationships between CO levels, traffic patterns, and supporting variables. Results: Findings revealed an average CO concentration of 6,665 µg/m³, with Jatinegara Kaum (15,380 µg/m³) and Duren Sawit (13,031 µg/m³) exceeding the government air quality threshold (10,000 µg/m³). A strong positive correlation (R² = 0.78, p < 0.05) was identified between traffic congestion and CO levels, confirming vehicular emissions as the dominant contributor. Moreover, no significant correlation with weather variables was observed, further emphasizing the role of transportation in shaping local air quality. Conclusion: These results underscore the urgent need for policy interventions, including the expansion of electric vehicle infrastructure, congestion pricing, and green urban planning. This study also highlights the necessity of integrating real-time air quality monitoring and AI-based traffic flow management to optimize pollution control efforts. By situating East Jakarta’s case within global urban air pollution trends, these findings offer scalable insights applicable to other rapidly urbanizing cities worldwide.

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  • Hasanuddin University
  • Universitas Muhammadiyah Jakarta
  • Diponegoro University
  • Universitas Tompotika Luwuk
  • Universitas Kristen Indonesia Maluku
  • Universitas Muhammadiyah Malang
  • Universitas Alma Ata
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Rekan penulisOrganisasiArtikel bersama
Agus Bintara BirawidaHasanuddin University4
Maria KananUniversitas Tompotika Luwuk2
Hasanuddin IshakHasanuddin University2
Andi Indahwaty SidinHasanuddin University1
Andi JamalinaHasanuddin University1
Nurfatmala NurfatmalaAfiliasi tidak diketahui1
Fajar Septian AnwarHasanuddin University1
M Alimin MaidinHasanuddin University1
Hasnawati AmqamHasanuddin University1
Maldi PrasetyoHasanuddin University1
Muh. Fajaruddin NatsirHasanuddin University1
Syahri WahyuniHasanuddin University1
Muhammad HattaAfiliasi tidak diketahui1
Gracia Victoria SouisaUniversitas Kristen Indonesia Maluku1
Hasan HasyimAfiliasi tidak diketahui1
Makmur SelomoHasanuddin University1
Muammar MuammarUniversitas Muhammadiyah Malang1
Sumarni SumarniUniversitas Alma Ata1
Stang Abdul RahmanHasanuddin University1
Ary HandayaniAfiliasi tidak diketahui1
Suhartono SuhartonoDiponegoro University1
Bagoes WidjanarkoDiponegoro University1
Muhammad Hussein GasemDiponegoro University1
Anwar DaudHasanuddin University1
Steven SilalahiAfiliasi tidak diketahui1
Nurlia SilaUniversitas Airlangga1
Melisa Pascawati TodinganAfiliasi tidak diketahui1
Healthy HidayantyHasanuddin University1
Agus Bintara BirawidaHasanuddin University1
Nurul FibrianiHasanuddin University1
Owildan Wisudawan BHasanuddin University1
Herawati HerawatiUniversitas Tompotika Luwuk1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://jurnal.unismuhpalu.ac.id/index.php/jphp/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Urban Transportation and Rising CO Emissions: A Case Study of East Jakarta and its Public Health Impacts</dc:title>
	<dc:creator>Ernyasih, Ernyasih</dc:creator>
	<dc:creator>Anwar Mallongi</dc:creator>
	<dc:creator>Munaya Fauziah</dc:creator>
	<dc:creator>Gilang Anugerah Munggaran</dc:creator>
	<dc:creator>Firda Ayu Salsabilla</dc:creator>
	<dc:creator>Wesam AL Madhoun</dc:creator>
	<dc:creator>Fini Fajrini</dc:creator>
	<dc:creator>Taufiqurrochman, Taufiqurrochman</dc:creator>
	<dc:subject xml:lang="en-US">Carbon Monoxide</dc:subject>
	<dc:subject xml:lang="en-US">Transportation</dc:subject>
	<dc:subject xml:lang="en-US">Air Pollution</dc:subject>
	<dc:subject xml:lang="en-US">Public Health</dc:subject>
	<dc:subject xml:lang="en-US">Urban Sustainability</dc:subject>
	<dc:description xml:lang="en-US">Introduction: Carbon monoxide (CO) emissions from urban transportation present a critical challenge for air quality, public health, and environmental sustainability. East Jakarta, with its rapid motorization and chronic traffic congestion, serves as a case study for the broader impacts of urban CO pollution. This study investigates the correlation between CO levels and traffic density, providing empirical insights into the dynamics of transportation-driven air pollution in densely populated cities.
Methods: A quantitative cross-sectional study was conducted in July 2024, measuring CO concentrations at 15 strategic locations using calibrated CO meters. Sampling sites were selected based on traffic volume, population exposure, and historical emission data to ensure a comprehensive urban representation. Data analysis included descriptive statistics, normality tests, and regression analysis to evaluate relationships between CO levels, traffic patterns, and supporting variables.
Results: Findings revealed an average CO concentration of 6,665 µg/m³, with Jatinegara Kaum (15,380 µg/m³) and Duren Sawit (13,031 µg/m³) exceeding the government air quality threshold (10,000 µg/m³). A strong positive correlation (R² = 0.78, p &amp;lt; 0.05) was identified between traffic congestion and CO levels, confirming vehicular emissions as the dominant contributor. Moreover, no significant correlation with weather variables was observed, further emphasizing the role of transportation in shaping local air quality.
Conclusion: These results underscore the urgent need for policy interventions, including the expansion of electric vehicle infrastructure, congestion pricing, and green urban planning. This study also highlights the necessity of integrating real-time air quality monitoring and AI-based traffic flow management to optimize pollution control efforts. By situating East Jakarta’s case within global urban air pollution trends, these findings offer scalable insights applicable to other rapidly urbanizing cities worldwide.</dc:description>
	<dc:publisher xml:lang="en-US">Pusat Pengembangan Teknologi Informasi dan Jurnal Universitas Muhammadiyah Palu</dc:publisher>
	<dc:date>2025-02-27</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://jurnal.unismuhpalu.ac.id/index.php/jphp/article/view/6823</dc:identifier>
	<dc:identifier>10.56338/jphp.v5i1.6823</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Public Health and Pharmacy; Vol. 5 No. 1 (2025); 150-157</dc:source>
	<dc:source>2775-4952</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jurnal.unismuhpalu.ac.id/index.php/jphp/article/view/6823/5037</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Journal of Public Health and Pharmacy</dc:rights>
</oai_dc:dc>