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Implementasi Business Intelligence untuk Menganalisis Perbandingan Penyebaran Kasus Covid-19 Sebelum Vaksinasi dan Setelah Vaksinasi Covid-19 di NTT

Ruslin, Eka Fitriani (2023) Implementasi Business Intelligence untuk Menganalisis Perbandingan Penyebaran Kasus Covid-19 Sebelum Vaksinasi dan Setelah Vaksinasi Covid-19 di NTT. Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

Vaccination is an effective and efficient measure in public health efforts to preventvarious dangerous infectious diseases. In facing the COVID-19 pandemic, the aimof COVID-19 vaccination is to control the spread and transmission of the virus, aswell as reduce morbidity and mortality due to COVID-19. This research uses adescriptive analysis method to analyze the analysis of Covid-19 cases before thevaccine and after the vaccine, especially in using the Tableau application. The dataexecution process is carried out through the Tableau Public application, where thedata is connected using the method of dragging data files into the application. Theauthor took data related to COVID-19 cases in East Nusa Tenggara Provincebefore and after vaccination. This data was obtained directly from the officialwebsite covid19.nttprov.go.id and presented in excel format and then applied toBusiness Intelligence. With the help of Tableau software, a visualization examplewas obtained in the form of a map of the spread of Covid in the East Nusa Tenggararegion, a comparison between the number of Covid cases from year to year fromthe start of the pandemic to the end.

Item Type: Thesis (Undergraduate)
Additional Information: Eka Fitriani Ruslin NIM : 19083000242
Uncontrolled Keywords: Vaccination, Covid-19, Tableau Public, Business Intelligence
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Fakultas Teknologi Informasi > S1 Sistem Informasi
Depositing User: Gendhis Dwi Aprilia
Date Deposited: 09 Mar 2025 07:04
Last Modified: 09 Mar 2025 07:04
URI: https://eprints.unmer.ac.id/id/eprint/4516

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