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Tazkia S Ardan
Faculty of Computer Science Subang University
Computer Science & IT

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ONTOLOGY-BASED DATA WAREHOUSE VISUALIZATION USING PROTÉGÉ FOR CORONA VIRUS SPREAD INCIDENCES Tazkia S Ardan; Denada Zahra; Meinawati Meinawati
Jurnal Teknologi Informasi dan Komunikasi Vol. 12 No. 1 (2022): Jurnal Teknologi Informasi dan Komunikasi
Publisher : Fakultas Ilmu Komputer dan Informatika - Universitas Nurtanio Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (232.115 KB) | DOI: 10.56244/fiki.v12i1.462

Abstract

Corona Virus (Covid-19) is an infectious disease caused by a newly discovered coronavirus. At this time, there are no specific vaccines or treatments for COVID-19. death rates due Covid-19 in Indonesia reach 8,9%. The presence of differences between data released by the Covid-19 complaint website of West Java Province and data released by Subang Government indicates that’s still difficult to obtain accurate information. We need to build data warehouse and create ontology of Covid-19 incidences data to figure out the important information in Covid-19. we are using Protégé to build and visualize ontology of Covid-19 data. Keywords : ontology, Protégé, Covid-19
Co-Authors Denada Zahra Meinawati Meinawati