Public Trust on Policy for Mobility Restrictions Policy in Indonesia an Analysis from Social Media Twitter

Abstract

Social media has become a liaison for all sources of information for social media users. The exchange of information on social media becomes crowded with various types of information. The focus of this study is the identification of public confidence in the implementation of Indonesia’s Mobility Restriction Policy (PPKM). In this study, we use Twitter as a source of research data and discussions regarding the issue of the extension of the PPKM policy in Indonesia. This study uses a qualitative approach, using a qualitative data analysis mining approach (QDA Miner) to analyze the resulting content, network, and cloud. We use Social Network Analysis (SNA) software, namely NodeXL Pro, as a data search tool to generate communication networks and tweet content from observed conversations and Qualitative Data Analysis (QDA) software, namely Nvivo 12 Plus, for further and comprehensive analysis. Understand qualitative data. The findings show that public trust in implementing the Mobility Restrictions Policy in Indonesia reaps more negative sentiment from Twitter social media users. In addition, the intensity of the accounts involved in responding to the policy is relatively high, accompanied by the resulting communication network.