Sentiment Analysis on the Centralized Isolation Policy for Covid-19 Response in Bali Province

Author:

Santosa I Made Ari

Abstract

Coronavirus disease (Covid-19) is an infectious virus caused by SARS-CoV-2 virus, which has caused a global pandemic. The global pandemic is declared by the World Health Organization (WHO) on March 11th, 2020. Until late of April 2022, Covid-19 has caused the death of the total of more than 6 million people, and in Indonesia alone it has caused more than 150 thousand of death. The pandemic does not only impact health area, but also economy, politics, cultures, etc. In order to end the pandemic, WHO has sets out standard policies to be implemented, including by Indonesian government. Besides, each local goverment in Indonesia has also their own policies and regulations, including the government of Bali Province, for example the Community Activities Restrictions Enforcement or CARE (Indonesian: Pemberlakuan Pembatasan Kegiatan Masyarakat, commonly referred to as the PPKM), improvement in health care facilities and services, and also isolation policy for the people whom are infected by SARS-CoV-2 virus. To prevent the increase in death, Bali Province's COVID-19 Handling Task Force along with the district and city governments have prepared a centralized isolation policy and facilities for those whom are found to be Covid-19 positive without having any symptoms and for those with mild symtomps. This research has been conducted in order to get the public sentiment about this centralized isolation policy in Bali Province by using Tweet data from Twitter social media, based on Naive Bayes classification. From the experiments, the results of data Tweet classifications have accuracy more than 90%, which have shown that the public opinion is neutral. The results also mean that there is no contradition found in the application of centralized isolation policy in the province of Bali-Indonesia.

Publisher

Institut Teknologi Dirgantara Adisutjipto (IDTA)

Subject

General Medicine

Reference16 articles.

1. F. K. K. R. Indonesia, "No Title," 2022. https://www.kemkes.go.id/folder/view/full-content/structure-faq.html .

2. W. H. Organization, "Coronavirus disease (COVID-19)," 2022. https://www.who.int/health-topics/coronavirus#tab=tab_1.

3. A. Syauqi, "Jalan panjang covid19 (sebuah refleksi dikala wabah merajalela berdampak pada perekonomian)," JKUBS J. Chem. Inf. Model., vol. 1, no. 1, pp. 1-19, 2020.

4. R. Feldman and J. Sanger, The Text Mining Handbook. 2006.

5. Y. A. Mejova, Sentiment analysis within and across social media streams. 2012.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3