VISUALISASI DATA COVID-19 DI INDONESIA

Authors

  • nabil Zakaria Universitas Islam Indragiri Author

Keywords:

Covid-19, Business Intelligence (BI), data visualisasi

Abstract

Thepandemicin2020hasspreadaroundtheworldwiththeunprecedentedSARS-CoV-2

outbreak,thistypeofcoronaviruscausingthemassivelygrowingCOVID-19pandemic.

CasesofpatientsdetectedwithCOVID-19havenowreached627,195,515casesworldwide.

InIndonesia,positivepatientswithCOVID-19havereached6,464,962and158,380patients

havedied.Thisstudyaimstoproduceavisualizationoroverviewofdatabasedonthe

distributionofCOVID-19casesinIndonesia.Inconductingtheanalysis,adatasetis

needed,inthisstudyusingadatasetofCOVID-19casesfrom March1,2020toJune30,

2020.ThisresearchusestheBusinessIntelligence(BI)methodtoconvertoperational,

transactionaldataintousefulinformationforstakeholders,whilevisualizationofdatathat

hasbeenprocessedusingtheMicrosoftPowerBIapplication.Thevisualizationresultson

thePowerBIdashboardfoundthatthehighestnumberofpositiveCOVID-19caseswasin

EastJavaprovincewithatotalof12,807withavulnerabilityofMarch1,2020toJune30,

2020,withtheapplicationofthesedatasetsexpectedtohelpstakeholdersinmaking

Downloads

Download data is not yet available.

References

Puspitasari, E., & Lenawati, M. (2020). Visualisasi Dataset Pasien Covid 19 di Indonesia Pada Dashboard Microsoft Power BI. METODE.

Fahri, A., & Ramdhani, Y. (2023). Visualisasi Data dan Penerapan Machine Learning Menggunakan Decision Tree Untuk Keputusan Layanan Kesehatan COVID-19. Jurnal Tekno Kompak, 17(2), 50-60.

Downloads

Published

2024-08-24

Most read articles by the same author(s)

<< < 8 9 10 11 12 13 14 > >> 

Similar Articles

1-10 of 108

You may also start an advanced similarity search for this article.