Dashboard: data visualization of COVID-19 confirmed and deaths in Malaysia (COVIM) / Nurul Izzati Iddarus, Ruzita Ahmad and Shukor Sanim Mohd Fauzi

COVID-19 has spread widely in worldwide and Malaysia one of the countries affected. Therefore, there are many people who want to know about the total number of COVID-19 cases that occur in their country. Even though the Malaysia government already provided the website of COVID-19 but there is only o...

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Main Authors: Iddarus, Nurul Izzati, Ahmad, Ruzita, Mohd Fauzi, Shukor Sanim
Format: Book Section
Language:English
Published: College of Computing, Informatics and Media, UiTM Perlis 2023
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Online Access:https://ir.uitm.edu.my/id/eprint/100625/1/100625.pdf
https://ir.uitm.edu.my/id/eprint/100625/
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spelling my.uitm.ir.1006252024-09-27T01:40:00Z https://ir.uitm.edu.my/id/eprint/100625/ Dashboard: data visualization of COVID-19 confirmed and deaths in Malaysia (COVIM) / Nurul Izzati Iddarus, Ruzita Ahmad and Shukor Sanim Mohd Fauzi Iddarus, Nurul Izzati Ahmad, Ruzita Mohd Fauzi, Shukor Sanim Electronic Computers. Computer Science COVID-19 has spread widely in worldwide and Malaysia one of the countries affected. Therefore, there are many people who want to know about the total number of COVID-19 cases that occur in their country. Even though the Malaysia government already provided the website of COVID-19 but there is only one visualization that display on the website. Thus, a real-time COVIM dashboard has been designed and developed a user-friendly tool with variety type of data visualization to better grasp the status of COVID-19 in Malaysia. COVIM dashboard was aimed to be used by researchers, healthcare workers and general public. Therefore, this study proposes to use a Microsoft Power BI as a tool to develop a dashboard system. Furthermore, the method that will be used in developing dashboard system is Waterfall Model. The resulted COVIM dashboard provides important insights that can be used to make informed decisions concerning the spread of COVID-19 in Malaysia. College of Computing, Informatics and Media, UiTM Perlis 2023 Book Section PeerReviewed text en https://ir.uitm.edu.my/id/eprint/100625/1/100625.pdf Dashboard: data visualization of COVID-19 confirmed and deaths in Malaysia (COVIM) / Nurul Izzati Iddarus, Ruzita Ahmad and Shukor Sanim Mohd Fauzi. (2023) In: Research Exhibition in Mathematics and Computer Sciences (REMACS 5.0). College of Computing, Informatics and Media, UiTM Perlis, pp. 101-102. ISBN 978-629-97934-0-3
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Electronic Computers. Computer Science
spellingShingle Electronic Computers. Computer Science
Iddarus, Nurul Izzati
Ahmad, Ruzita
Mohd Fauzi, Shukor Sanim
Dashboard: data visualization of COVID-19 confirmed and deaths in Malaysia (COVIM) / Nurul Izzati Iddarus, Ruzita Ahmad and Shukor Sanim Mohd Fauzi
description COVID-19 has spread widely in worldwide and Malaysia one of the countries affected. Therefore, there are many people who want to know about the total number of COVID-19 cases that occur in their country. Even though the Malaysia government already provided the website of COVID-19 but there is only one visualization that display on the website. Thus, a real-time COVIM dashboard has been designed and developed a user-friendly tool with variety type of data visualization to better grasp the status of COVID-19 in Malaysia. COVIM dashboard was aimed to be used by researchers, healthcare workers and general public. Therefore, this study proposes to use a Microsoft Power BI as a tool to develop a dashboard system. Furthermore, the method that will be used in developing dashboard system is Waterfall Model. The resulted COVIM dashboard provides important insights that can be used to make informed decisions concerning the spread of COVID-19 in Malaysia.
format Book Section
author Iddarus, Nurul Izzati
Ahmad, Ruzita
Mohd Fauzi, Shukor Sanim
author_facet Iddarus, Nurul Izzati
Ahmad, Ruzita
Mohd Fauzi, Shukor Sanim
author_sort Iddarus, Nurul Izzati
title Dashboard: data visualization of COVID-19 confirmed and deaths in Malaysia (COVIM) / Nurul Izzati Iddarus, Ruzita Ahmad and Shukor Sanim Mohd Fauzi
title_short Dashboard: data visualization of COVID-19 confirmed and deaths in Malaysia (COVIM) / Nurul Izzati Iddarus, Ruzita Ahmad and Shukor Sanim Mohd Fauzi
title_full Dashboard: data visualization of COVID-19 confirmed and deaths in Malaysia (COVIM) / Nurul Izzati Iddarus, Ruzita Ahmad and Shukor Sanim Mohd Fauzi
title_fullStr Dashboard: data visualization of COVID-19 confirmed and deaths in Malaysia (COVIM) / Nurul Izzati Iddarus, Ruzita Ahmad and Shukor Sanim Mohd Fauzi
title_full_unstemmed Dashboard: data visualization of COVID-19 confirmed and deaths in Malaysia (COVIM) / Nurul Izzati Iddarus, Ruzita Ahmad and Shukor Sanim Mohd Fauzi
title_sort dashboard: data visualization of covid-19 confirmed and deaths in malaysia (covim) / nurul izzati iddarus, ruzita ahmad and shukor sanim mohd fauzi
publisher College of Computing, Informatics and Media, UiTM Perlis
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/100625/1/100625.pdf
https://ir.uitm.edu.my/id/eprint/100625/
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score 13.2014675