Abstract
COVID-19 or Coronavirus disease 2019 is currently a pandemic that is spreading very quickly throughout the world, including Indonesia. Various handling and policies have been carried out, one of which is called “PPKM” policy or what can also be called the Enforcement of Restrictions on Community Activities issued by the Indonesian government. “PPKM” is currently one of the topics that is often discussed by the public, one of which is on the Twitter social media platform. The existence of opinions given by the community, it is necessary to have a sentiment analysis. Sentiment analysis is an analytical process obtained from various social media platforms and the internet. The aim is to find out how the public's sentiment towards the implementation of “PPKM” policies in Indonesia is through tweets and comments on the Twitter social media platform. In this study, the process of analyzing public opinion regarding the “PPKM” policy will be carried out by classifying opinions into 3 sentiments, namely positive, negative or neutral. Classification is done using the K-Nearest Neighbor algorithm. The K-Nearest Neighbor (K-NN) algorithm is a classification method for a set of data based on previously classified data learning. Included in supervised learning, where the results of the new query instance are classified based on the majority of the distance proximity of the categories in K-NN. The results of data preprocessing and sentiment classification, in the first test positive sentiment 37.6% of 261 data, negative sentiment 65.9% of 636 data and neutral sentiment 9.
Highlights
At the beginning of 2020 until now, the world's citizens infected with Covid-19 are increasing every day
Based on KOMPAS.com data, the number of patients infected with corona in the world, until March 1, 2021 + 114 million cases. (Toharudin et al, 2021)Data that are positive for Covid-19, amounting to hundreds of thousands of patients who died and 64.4 million were declared cured
The development of Covid-19 in Indonesia is still increasing in number
Summary
At the beginning of 2020 until now, the world's citizens infected with Covid-19 are increasing every day. As a result of the increase in Covid-19 cases, the government implemented various policies in the form of “PSBB” (Mukhtadi et al, 2021), lock down, restrictions on a limited scale, social distancing, new normal, obeying health protocols and other policies.(Napitu et al, 2021) This policy has the impact of worsening economic conditions and other multidimensional impacts. Realizing that this policy cannot overcome the Covid-19 pandemic, the government from midFebruary 2021 implements a policy called the Implementation of Micro Community Activity Restrictions “PPKM” and seeks mass vaccines for all citizens in stages throughout Indonesia.(Ministry of Home Affairs Regulation (Permendagri), 2020). This community service activity aims (Imam et al, 2021), overcoming the spread of Covid-19 which is still increasing, at the village and sub-district level, optimizing restrictions on community activities in various aspects of life up to the village/district level by implementing restrictions on community activities “PPKM” Micro, and Increase public awareness to implement and comply with health protocols, social distancing and restrictions on micro community activities “PPKM” (Miharja et al, 2021)
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