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Potensi Google Trends sebagai Alat untuk Memantau Keresahan Masyarakat selama Pandemi COVID-19

Indonesian Journal of Public Health and Nutrition · Vol. 3 No. 3 (2023) · pp. 323–329

DOI
10.15294/ijphn.v3i3.60084
ISSN
2776-9968, 2798-4265
Published
2023-11-30
Publisher
Center for Public Health Nutrition Studies, Universitas Negeri Semarang, Indonesia
Language
eng
License
creativecommons.org/licenses/by/4.0

Abstract

Background: The number of confirmed cases of COVID-19 has increased since it was first discovered in Indonesia. It is important to know that public concerns and public awareness of the COVID-19 disease are needed to assist risk communication during the pandemic. Therefore, researchers want to know the potential of Google Trends to monitor public reaction during the COVID-19 pandemic. Methods: This research is a quantitative research using time series approach (1 Juni 2021-30 September 2021). The keyword related to COVID-19 disease used in this study is ‘corona’. Bivariate analysis using Spearman correlation test. Results: Based on the results of the Spearman correlation test, it shows that there is a correlation between the search trend for the term 'corona' and the number of new confirmed cases of COVID-19 in Central Java with an r count of +0.649 and a p value of 0.0001. Conclusion: There is a significant relationship between the search trend for the term 'corona' and the number of cases of COVID-19. This shows that the search for information related to COVID-19 may be able to monitor public reaction during the COVID-19 pandemic.

Collaboration network of the authors

31 authors · 51 co-authorship links

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  • Institut Agama Islam Negeri Kendari
  • State University of Semarang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Bertakalswa HermawatiAffiliation unknown3
Jayanti Evananda FebrianAffiliation unknown2
Yunita Dyah Puspita SantikAffiliation unknown2
Fitri IndrawatiAffiliation unknown2
Anisa FitriInstitut Agama Islam Negeri Kendari2
Arvia Dhitya MaharhaniAffiliation unknown2
Devita Uzlah SibaraniAffiliation unknown1
Sherly GusnawanAffiliation unknown1
Hermi Nur LaelaAffiliation unknown1
Arum SiwiendrayantiState University of Semarang1
Fitriana PuspitaraniAffiliation unknown1
Isnaningsih IsnaningsihAffiliation unknown1
Fitriyana FitriyanaAffiliation unknown1
Rudatin WindraswaraAffiliation unknown1
Annisa Arum Kartika DewiAffiliation unknown1
Atiya InayahAffiliation unknown1
Siti Yuliana SyafriatiAffiliation unknown1
Nila KusumawatiAffiliation unknown1
Aswi Nur SyahbaniAffiliation unknown1
Ragil AndrianiAffiliation unknown1
Isnaini Alfazcha ZukhrufAffiliation unknown1
Azizah Nur AbdillahAffiliation unknown1
Afifah Maulidia Az Zahro'Affiliation unknown1
Dela Putri WulandariAffiliation unknown1
Nanda Putri DewantiAffiliation unknown1
Siti Lailatin NasifahAffiliation unknown1
Ella Wahyu IrawanAffiliation unknown1
Intan Tasya Az ZahraAffiliation unknown1
Dwi Salsabilla PutriAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/IJPHN/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Potensi Google Trends sebagai Alat untuk Memantau Keresahan Masyarakat selama Pandemi COVID-19</dc:title>
	<dc:creator>Muanifah, Erna Zuliana</dc:creator>
	<dc:creator>Sukendra, Dyah Mahendrasari</dc:creator>
	<dc:description xml:lang="en-US">Background: The number of confirmed cases of COVID-19 has increased since it was first discovered in Indonesia. It is important to know that public concerns and public awareness of the COVID-19 disease are needed to assist risk communication during the pandemic. Therefore, researchers want to know the potential of Google Trends to monitor public reaction during the COVID-19 pandemic. Methods: This research is a quantitative research using time series approach (1 Juni 2021-30 September 2021). The keyword related to COVID-19 disease used in this study is ‘corona’. Bivariate analysis using Spearman correlation test. Results: Based on the results of the Spearman correlation test, it shows that there is a correlation between the search trend for the term 'corona' and the number of new confirmed cases of COVID-19 in Central Java with an r count of +0.649 and a p value of 0.0001. Conclusion: &amp;nbsp;There is a significant relationship between the search trend for the term 'corona' and the number of cases of COVID-19. This shows that the search for information related to COVID-19 may be able to monitor public reaction during the COVID-19 pandemic.</dc:description>
	<dc:publisher xml:lang="en-US">Center for Public Health Nutrition Studies, Universitas Negeri Semarang, Indonesia</dc:publisher>
	<dc:date>2023-11-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/IJPHN/article/view/60084</dc:identifier>
	<dc:identifier>10.15294/ijphn.v3i3.60084</dc:identifier>
	<dc:source xml:lang="en-US">Indonesian Journal of Public Health and Nutrition; Vol 3 No 3 (2023): Special Issue; 323-329</dc:source>
	<dc:source>2776-9968</dc:source>
	<dc:source>2798-4265</dc:source>
	<dc:source>10.15294/ijphn.v3i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/IJPHN/article/view/60084/25964</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Indonesian Journal of Public Health and Nutrition</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by/4.0</dc:rights>
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