PREDICTION OF AIR POLLUTION STANDARD INDEX (ISPU) CATEGORIES IN DKI JAKARTA USING THE GRADIENT BOOSTING ALGORITHM

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Published: Jan 20, 2025
DOI: https://doi.org/10.52802/aicp.v1i1.1354
Keywords:
ISPU, Gradient Boosting, prediction, air quality, DKI Jakarta

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Aditya Pratama
Nahdlatul Ulama University Of West Kalimantan
Nurman Hariyanto
Nahdlatul Ulama University Of West Kalimantan
Adha Maulana
Nahdlatul Ulama University Of West Kalimantan
Denny Primanda
Nahdlatul Ulama University Of West Kalimantan
Awanis Hidayati
Nahdlatul Ulama University Of West Kalimantan
Wahyu Prayitno
Nahdlatul Ulama University Of West Kalimantan

Abstract

Air quality in DKI Jakarta is a significant problem that threatens the health of its people. To give the public an idea of the level of air pollution in certain areas and the risks it poses, there is the Air Pollution Standard Index (ISPU) which provides the relevant information. The objective of this study is the development of the ISPU category prediction model in DKI Jakarta based on the Gradient Boosting algorithm. The ISPU data used includes the concentrations of PM10, PM2.5, SO2, CO, and O3. The developed Gradient Boosting model was trained on the historical ISPU data and then its performance was assessed on the basis of accuracy, precision, recall and F1-score metrics. In this study, the Gradient Boosting model has been demonstrated to be able to predict ISPU categories with an improved degree of accuracy. It has a potential purpose – the provision of early warning with respect to ISPU categories to allow the general public to take measures that would reduce the degree of air pollution they are exposed to. This research adds up to the establishment of an air quality early warning system, which is entirely instrumental in the advancement of the health standards of the people living in the DKI Jakarta region.

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How to Cite
aditya pratama, Nurman Hariyanto, Adha Maulana, Denny Primanda, Awanis Hidayati, & Wahyu Prayitno. (2025). PREDICTION OF AIR POLLUTION STANDARD INDEX (ISPU) CATEGORIES IN DKI JAKARTA USING THE GRADIENT BOOSTING ALGORITHM. PROCEEDING AL GHAZALI International Conference, 2, 402-416. https://doi.org/10.52802/aicp.v1i1.1354
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Vol. 2 (2024): The Future is Now: Adaptation to the World's Emerging Technologies
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Articles
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References

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