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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) · hlm. 323–329

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

Abstrak

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.

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  • State University of Semarang
  • Institut Agama Islam Negeri Kendari
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Rekan penulisOrganisasiArtikel bersama
Fitri IndrawatiAfiliasi tidak diketahui3
Bertakalswa HermawatiAfiliasi tidak diketahui2
Anisa FitriInstitut Agama Islam Negeri Kendari2
Yunita Dyah Puspita SantikAfiliasi tidak diketahui2
Arvia Dhitya MaharhaniAfiliasi tidak diketahui2
Arum SiwiendrayantiState University of Semarang1
Fitriana PuspitaraniAfiliasi tidak diketahui1
Isnaningsih IsnaningsihAfiliasi tidak diketahui1
Atiya InayahAfiliasi tidak diketahui1
Siti Yuliana SyafriatiAfiliasi tidak diketahui1
Nila KusumawatiAfiliasi tidak diketahui1
Aswi Nur SyahbaniAfiliasi tidak diketahui1
Ragil AndrianiAfiliasi tidak diketahui1
Isnaini Alfazcha ZukhrufAfiliasi tidak diketahui1
Dela Putri WulandariAfiliasi tidak diketahui1
Nanda Putri DewantiAfiliasi tidak diketahui1
Jayanti Evananda FebrianAfiliasi tidak diketahui1
Siti Lailatin NasifahAfiliasi tidak diketahui1
Intan Tasya Az ZahraAfiliasi tidak diketahui1
Dwi Salsabilla PutriAfiliasi tidak diketahui1
Nur Arifatun NuzzilahAfiliasi tidak diketahui1
Sinta Dwi HabsariAfiliasi tidak diketahui1
‪Eram Tunggul Pawenang‬State University of Semarang1
Ririn Wardani ZuhrufAfiliasi tidak diketahui1
Fiki GhoniatussilmiAfiliasi tidak diketahui1
Rizky Ayu FandikaAfiliasi tidak diketahui1
Agcrista Permata KusumaAfiliasi tidak diketahui1
Widya Hary CahyatiAfiliasi tidak diketahui1
Yunita Dyah PSAfiliasi tidak diketahui1
Tri Baskoro Tunggul SatotoAfiliasi tidak diketahui1
Ignatius HardaningsihAfiliasi tidak diketahui1
Ajib DiptyanusaAfiliasi tidak diketahui1
Nur SiyamAfiliasi tidak diketahui1
Bambang Wahyono WahyonoAfiliasi tidak diketahui1
Shobiechah Aldillah WulandhariMahidol University1
Arniyati VersariAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/IJPHN/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (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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