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All Journal Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan VISI PUSTAKA: Buletin Jaringan Informasi Antar Perpustakaan
Nur Rizzal Rosiyan
Pusat Data dan Dokumentasi Ilmiah LIPI
Library & Information Science

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Analysis and Visualization Data of Covid-19 Based on Scopus Tupan Tupan; Nur Rizzal Rosiyan
Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan Vol 9 No 1 (2021): June
Publisher : Program Studi Ilmu Perpustakaan UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/v9i1a6

Abstract

This study analyzes the amount of documentation about COVID-19 by year, publication source, institution, country, type of document, and funding agency and maps it based on keywords. The research data was obtained through the Scopus database with the keywords novel corona virus or corona virus 2019 or covid 2019 and covid 19, which were further explored. For mapping, the Covid 19 data, the VOSviewer software was used. The findings show that there are 723 covid 19 documents, 569 of which can be accessed openly and 154 can be accessed by subscription. Most of the COVID-19 data published in the Journal of The American College of Radiology with the subject categories discussed were radiology, nuclear medicine, and imaging. Huazhong University of Science and Technology is the most productive institution in producing covid 19 data. China is the country that produces the most covid data. The most type of Covid 19 data documents are articles with the most medicine subject category. Most of the funding sponsors were awarded by the National Science Foundation of China. The visualization of the covid 19 data was mapped into 5 clusters with the most groups from each cluster being cluster 1 being severe acute respiratory syndrome coronavirus, cluster 2 coronavirus disease 2019, cluster 3 fever (fever), cluster 4 epidemiology, cluster 5 disease severity.
Analisis Bibliometrik Data Publikasi Penanganan Covid-19 ii Indonesia Menggunakan Software Vosviewer dan Tableau Tupan Tupan; Nur Rizzal Rosiyan
VISI PUSTAKA: Buletin Jaringan Informasi Antar Perpustakaan Vol 23, No 3: Desember 2021
Publisher : Perpustakaan Nasional RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37014/visipustaka.v23i3.1247

Abstract

Bibliometric analysis of publicity data on the handling of Covid-19 in Indonesia was carried out using Tableau and Vosviewer software. The research was conducted by using the literature search method using Google Scholar. The search was carried out from March 2020 to September 2020 using the keywords Covid-19 and Indonesia. The search results are then grouped based on author name, title and publication source. The results of grouping publications for Covid-19 handlers using Microsof Exel are grouped based on handling criteria. For publication sources analyzed using Software Tableau. Meanwhile, writer collaboration and keyword mapping were analyzed using the VosViewer software. The results of the analysis based on the criteria for handling Covid-19 show that most publications are in the form of treatment / prevention then followed by the impact / effect. Collaboration analysis using VosViewer software shows that Ian Huang is the most collaborative writer with 20 publications, followed by Raymond Pranata with 15 publications. The most publications on handling Covid-19 were published in Medica Hospitalia with 29 articles, followed by SALAM: Syar'i Social and Cultural Journal with 18 articles. Mapping results using VosViewer show that the handling of Covid-19 is divided into 4 clusters. Based on the visualization map, it is known that the most widely carried out research publications on Covid-19 are prevention / control in the context of accelerating the handling of the Covid pandemic, then followed by government policies in dealing with Covid-19 and economic policies during the Covid-19 pandemic.
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