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VISUALISASI DATA ANALISIS PENCEMARAN UDARA DI WILAYAH DKI JAKARTA

Harits, Muhammad - Personal Name;

The research aims to visualize and analyze data exploration, as well as analyze patterns of air pollution trends in the DKI Jakarta area before and during the Covid-19 pandemic. The air pollutant parameters that are the object of research are 〖"PM" 〗_"2.5" and 〖"PM" 〗_"10" . The research uses secondary data for the 2015-2022 period obtained from the Air Quality Index China. The research only uses descriptive methods, namely data visualization and descriptive statistical analysis. The process of data visualization and calculation of statistical values is carried out using the Python programming language. The research results show that the concentration level of 〖"PM" 〗_"2.5" in the DKI Jakarta area fluctuates more than 〖"PM" 〗_"10" , the average pollutant concentration level has exceeded the environmental quality standard threshold. The size of data concentration 〖"PM" 〗_"2.5" during the Covid-19 pandemic was smaller than before the pandemic, while the size of data distribution 〖"PM" 〗_"2.5" during the Covid-19 pandemic was larger than before the pandemic. For 〖"PM" 〗_"10" , the size of data concentration and distribution during the Covid-19 pandemic is smaller than before the pandemic. Furthermore, the trend pattern of 〖"PM" 〗_"2.5" concentration levels in the DKI Jakarta area is not symmetrical (not normally distributed), while 〖"PM" 〗_"10" is close to a normal distribution. There are indications that government policies that limited people's mobility during the Covid-19 pandemic influenced the decline in concentration levels of 〖"PM" 〗_"2.5" and 〖"PM" 〗_"10" in the DKI Jakarta area. Further research is needed to find out the types of policies that have a significant effect.


Availability
#
Central Library (Reference) T1514662024
T151466
Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1514662024
Publisher
Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024
Collation
xiii, 87 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
001.422 607
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Prodi Sistem Komputer
Visualisasi Data
Specific Detail Info
-
Statement of Responsibility
KA
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File Attachment
  • VISUALISASI DATA ANALISIS PENCEMARAN UDARA DI WILAYAH DKI JAKARTA
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