Suratnoaji, Catur and Nurhadi, Nurhadi and Arianto, Irwan Dwi (2020) Public Opinion on Lockdown (PSBB) Policy in Overcoming COVID-19 Pandemic in Indonesia: Analysis Based on Big Data Twitter. Asian Journal for Public Opinion Research, 8 (3). ISSN 2288-6168
|
Text
AJPOR Vo. 8 - 3- 2020.pdf Download (480kB) | Preview |
|
|
Text (Similarity)
Plagiasi-Public-Opinion.pdf Download (1MB) | Preview |
|
|
Text (Peer Review)
PR-Public-Opinion.pdf Download (538kB) | Preview |
|
|
Text (Korespondensi Jurnal)
PROSES-AJPOR-TAHUN-2018.pdf Download (713kB) | Preview |
|
|
Text (Korespondensi Jurnal)
PROSES-AJPOR -TAHUN-2020.pdf Download (891kB) | Preview |
Abstract
The discourse on the lockdown in Indonesia is getting stronger due to the increasing number of positive cases of the coronavirus and the death rate. As of August 12, 2020, the confirmed number of COVID-19 cases in Indonesia reached 130,718. There were 85,798 victims who have recovered and 5,903 who have died. Data show a significant increase in cases of COVID-19 every day. For this reason,there needs to be an evaluation ofthe government policy ofthe Republic ofIndonesia in dealing with the COVID-19 pandemic in Indonesia. An evaluation of policies for handling the pandemic mustincludepublicopiniontodetermineanyweaknessesofthispolicy. The development of public opinion about the lockdown policy can be understood through social media. During the COVID-19 pandemic, measuring public opinion through traditional methods (surveys) was difficult. For this reason, we utilizedbigdataonsocialmediaas research data. The main purpose of this study is to understand public opinion on the lockdown policy in overcoming the COVID-19 pandemic in Indonesia. The things observed included: volume of Twitter users, top influencers, top tweets, and communication networks between Twitter users. For the methodological development of future public opinion research, the researchers outline theobstaclesfacedinresearchingpublicopinionbasedonbigdatafromTwitter. The research results show that the lockdown policy is an interesting issue, as evidenced by the number of active users (79,502) forming 133,209 networks. Posts about the lockdown on Twittercontinuedtoincreaseaftertheimplementationofthe lockdown policy onApril 10, 2020.The lockdown policy has caused various reactions, seen from the word analysis showing 14.8% positive sentiment, 17.5% negative, and 67.67% non-categorized words. Sources of information who have playedtherolesof topinfluencers regarding the lockdownpolicy include:Jokowi(thepresidentof the
| Item Type: | Article |
|---|---|
| Subjects: | P Language and Literature > P Philology. Linguistics > P87 Communication. Mass Media |
| Divisions: | Faculty of Social and Political Sciences > Departement of Communication |
| Depositing User: | Fatchullah Fatchullah |
| Date Deposited: | 29 May 2021 04:46 |
| Last Modified: | 03 Jun 2021 01:59 |
| URI: | http://repository.upnjatim.ac.id/id/eprint/1802 |
Actions (login required)
 |
View Item |