Perancangan Visualisasi Data Covid-19 di Indonesia Menggunakan Tableau

Wunu, Maria Elfrida (2023) Perancangan Visualisasi Data Covid-19 di Indonesia Menggunakan Tableau. Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

Corona virus or severe acute respiratory syndrome coronavirus SARS CoV is a virus that attacks the respiratory system causing respiratory system disorders, acute pneumonia, and death. Visualization of corona virus case data by displaying the results of the number of confirmed cases, deaths and recoveries from various provinces in Indonesia. The results of data visualization are expected to be used as one of the solutions that can be used to overcome problems related to the corona virus. In this study using the tableau application, the data visualization dashboard, and the information available can be understood quickly because it uses graphs and can be more interesting, with the interactive dashboard options provided by Tableau, The results of the analysis of this study show the design of data visualization to find out data on covid-19 cases in Indonesia using Tableau software to get the results of data analysis reports comparing the total covid-19 cases. The corona case datasource used is www.kanggle.com from January 2020-2021 with a total covid case rate of 296,305, total recovered 202,105, total treated 84,518, total died 9,683. The entire province of the data on covid 19 cases in 2020-2021 was the highest at 296,305. The results of this study are to visualize data using tableau in analyzing problems with covid-19 in Indonesia and comparing covid data in each province in Indonesia in the form of Dashboards and Story each Maps, Line, Bars and TreeMaps graphs.

Item Type:	Thesis (Undergraduate)
Additional Information:	Maria Elfrida Wunu NIM : 19083000180
Uncontrolled Keywords:	Visualization, Covid Data, Tableau
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Fakultas Teknologi Informasi > S1 Sistem Informasi
Depositing User:	Gendhis Dwi Aprilia
Date Deposited:	10 Mar 2025 07:59
Last Modified:	10 Mar 2025 07:59
URI:	https://eprints.unmer.ac.id/id/eprint/4562

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