VISUALISASI DATA ANALISIS PENCEMARAN UDARA DI WILAYAH DKI JAKARTA

HARITS, MUHAMMAD and Passarella, Rossi (2024) VISUALISASI DATA ANALISIS PENCEMARAN UDARA DI WILAYAH DKI JAKARTA. Undergraduate thesis, Sriwijaya University.

	Text RAMA_56201_09011281924058.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_56201_09011281924058_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (14MB) | Request a copy
	Text RAMA_56201_09011281924058_0011067806_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB)
	Text RAMA_56201_09011281924058_0011067806_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (475kB) | Request a copy
	Text RAMA_56201_09011281924058_0011067806_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (174kB) | Request a copy
	Text RAMA_56201_09011281924058_0011067806_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_56201_09011281924058_0011067806_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (113kB) | Request a copy
	Text RAMA_56201_09011281924058_0011067806_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (186kB) | Request a copy
	Text RAMA_56201_09011281924058_0011067806_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (451kB) | Request a copy

Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Visualisasi Data
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis > Q337.3 Swarm intelligence. Big data -- Social aspects. Information technology -- Economic aspects. T Technology > T Technology (General) > T57-57.97 Applied mathematics. Quantitative methods
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Muhammad Harits
Date Deposited:	17 Jul 2024 08:33
Last Modified:	17 Jul 2024 08:33
URI:	http://repository.unsri.ac.id/id/eprint/151466

Actions (login required)

View Item