JOURNAL OF CIVIL ENGINEERING, BUILDING AND TRANSPORTATION
Vol. 8 No. 1 (2024): JCEBT MARET

The Utilization of HuberRegressor Machine Learning Model to Predict Carbon Monoxide Concentration in Surabaya City

Cahya Sugiarto (Unknown)
Febby Debora Abigael (Unknown)
Yusron Faiz Athallah (Unknown)
Agung Hari Saputra (Unknown)



Article Info

Publish Date
14 Mar 2024

Abstract

Carbon monoxide (CO) is one of the pollutant gases whose concentration currently continues to increase due to an increase in population and population activities, especially those that occur in the city of Surabaya, East Java. The purpose of this study is to make a prediction of CO gas concentration in Surabaya City in 2022. CO concentration air quality data was obtained from MERRA-2 Reanalysis through NASA's Giovanni platform. CO concentration data processing is carried out by Machine Learning methods using the Google Colaboratory platform with the HuberRegressor model. The results of the data processing carried out were obtained with details of MASE worth 0.6218, RMSSE worth 0.3657, MAE worth 0.0280, RMSE worth 0.0314, MAPE worth 0.0836, and SMAPE worth 0.0876. From the results of the evaluation of the model, it can be concluded that the HuberRegressor model can make a prediction of CO gas concentration in the city of Surabaya quite well.

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Journal Info

Abbrev

jcebt

Publisher

Subject

Civil Engineering, Building, Construction & Architecture

Description

Jurnal JCEBT Program Studi Teknik Sipil merupakan jurnal ilmiah yang diterbitkan berkala setiap 6 bulan, yaitu Maret dan September. Jurnal JCEBT Program Studi Teknik Sipil diterbitkan untuk pertama kalinya pada tahun 2017 dengan membawa misi sebagai salah satu pelopor dalam penerbitan media ...