(Similarity) Social Media Analytics of the Impact of Covid-19 Outbreak on Rural Economy in Indonesia Using Dcipheranalytics of Facebook Dataset
Rintyarna, Bagus Setya (2021) (Similarity) Social Media Analytics of the Impact of Covid-19 Outbreak on Rural Economy in Indonesia Using Dcipheranalytics of Facebook Dataset. Journal of Electronics and Communication Engineering.
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Abstract
Coronavirus Disease (Covid-19) firstly break out China as a source of viral pneumonia by
December 2019. By March 2020, 3 months later, World Health Organization (WHO) has characterized the
outbreak as a pandemic. Both pandemic itself and PSBB strike out people’s daily life in Indonesia. It impacts
many sectors including religion, socio-culture, education and mostly economic. Based on Susenas data, a study
projected that the poverty rate would hit 12.4 percent. Regarding the major impact of Covid-19 outbreak on
people’s life, it is important to provide analysis of how the pandemic changes people’s life especially in rural
areas. The step of the study includes 3 steps i.e.: 1) Grabbing dataset from Facebook platform, 2) Apply
Dcipheranalytics and 3) Analyze the result. From the grabbed dataset from Facebook, Dcipheranalytics reveals
analysis in terms of 1) Bar Chart View, 2) Scatter Plot, 3) Table View, 4) Bubble View and 5) Active Learning.
From the bar chart, there are 9 post with the highest relevance score of 5.750.
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| Item Type: | Peer Review |
|---|---|
| Keywords/Kata Kunci: | Pandemic, WHO, Facebook, Dcipheranalytics |
| Subjects: | 600 Technology and Applied Science > 620 Engineering |
| Divisions: | Faculty of Engineering > Department of Electrical Engineering (S1) |
| Depositing User: | Bagus Setya Rintyarna | bagus.setya@unmuhjember.ac.id |
| Date Deposited: | 23 Dec 2022 01:21 |
| Last Modified: | 23 Dec 2022 01:21 |
| URI: | http://repository.unmuhjember.ac.id/id/eprint/15669 |
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