Application of K-Means Clustering Algorithm for Air Quality Pattern Analysis in Jakarta

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Published Apr 30, 2025
https://doi.org/10.34012/jutikomp.v8i1.7028
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Vol. 8 No. 1 (2025): Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP)

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Muhammad Arya Fayyadh Razan
Mulawarman University
Nur Juzieatul Alifah
Mulawarman University
Qurrata A’yuni
Mulawarman University
Masna Wati
Mulawarman University
Haviluddin -
Mulawarman University

Abstract

Air pollution in urban areas, particularly in Jakarta, is a significant issue that impacts public health and environmental quality. This study aims to analyze air quality patterns in Jakarta from 2010 to 2023 using the K-Means Clustering method based on Air Pollution Standard Index (ISPU) data. Data processing stages based on the CRISP-DM methodology are applied to process and analyze data systematically. The stages include business understanding, data understanding, data preparation, modeling, and evaluation. The results showed that the data were divided into three distinct clusters: healthy, unhealthy, and moderate. Cluster 0, which includes stations DKI1 and DKI2, shows better air quality, while cluster 2, which consists of stations DKI3, DKI4, and DKI5, shows higher pollution levels. These findings offer valuable insights for policymakers in developing more effective air pollution control strategies. Thus, the results of this study not only contribute to the understanding of air quality in Jakarta but also emphasize the need for data-driven mitigation actions to improve public health and the environment.


 

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Author Biographies

Muhammad Arya Fayyadh Razan, Mulawarman University

Department of Informatics Engineering

Nur Juzieatul Alifah, Mulawarman University

Department of Informatics Engineering

Qurrata A’yuni, Mulawarman University

Department of Informatics Engineering

Masna Wati, Mulawarman University

Department of Informatics Engineering

Haviluddin -, Mulawarman University

Department of Informatics Engineering

How to Cite
Razan, M. A. F. ., Alifah, N. J., A’yuni, Q. ., Wati, M. ., & -, H. (2025). Application of K-Means Clustering Algorithm for Air Quality Pattern Analysis in Jakarta. JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP), 8(1), 64–80. https://doi.org/10.34012/jutikomp.v8i1.7028

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