Visualization of Balikpapan City Air Quality Clustering and Forecasting Using The Backpropagation Object Clustering Method And Artificial Neural Network Forecasting

DOI

10.2991/978-94-6463-525-6_34How to use a DOI?

Keywords

ISPU; Monitoring; Air Quality; Pollutants; Neural Network

Abstract

Air quality plays an important role in creating good climatic conditions. Air quality also has a big influence on people’s health, air quality that is full of pollution will certainly have a bad impact on health. Some parameters that support air quality monitoring are PM10, SO2, NO2, and CO. Air quality needs to be monitored regularly to determine whether parameters exceed quality standards or not, based on Minister of Environment and Forestry Regulation No. 14 of 2020 concerning Air Pollution Standard Index and Air Pollution Control. Government agencies have carried out air quality monitoring which is usually provided in reports and most of the results are not published, so that sometimes people do not know the condition of the air quality around their environment. One tool for evaluating air pollution levels that is quite effective with information that is comprehensive, easy to understand and can be used by the public is the Air Pollution Standards Index (ISPU). Therefore, a monitoring system through visualization of air quality is needed to determine the level of pollutants in the area. An artificial neural network is a Neural Network configured for certain applications, such as pattern recognition or data classification, and then refined through a learning process. The output of this research it was found this value is still in the class 1 range. Then the prediction results for the air NO2 (Nitrogen Dioxide) parameters at the end of 2023 were obtained at. 71.32 which means the air in Balikpapan city is still in the good category.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Dwi Arief Prambudi
AU  - Nia Febrianti
PY  - 2024
DA  - 2024/10/29
TI  - Visualization of Balikpapan City Air Quality Clustering and Forecasting Using The Backpropagation Object Clustering Method And Artificial Neural Network Forecasting
BT  - Proceedings of the 2023 Brawijaya International Conference (BIC 2023)
PB  - Atlantis Press
SP  - 300
EP  - 306
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-525-6_34
DO  - 10.2991/978-94-6463-525-6_34
ID  - Prambudi2024
ER  -