VISUALISASIDATACOVID-19DIINDONESIA
Keywords:
Covid-19, Business Intelligence (BI), data visualisasiAbstract
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
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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.
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Copyright (c) 2024 nabil Zakaria (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
