The Social Engagement to Agricultural Issues using Social Network Analysis

Abstract

The use of social media as a means of retrieving data because it is considered broader, straightforward, honest, efficient and real time. Not only as an expanding network, social media is also used by most people to actively participate in voicing opinions, getting assumptions, seeing current trends, and even as a forum for obtaining detailed and accurate information. Twitter is one of the social media that is microblogging, and emphasizes the speed of communication. In this era of 4.0, the government also promotes the distribution of information through social media, because it is considered to be more included in the community from various lines. The Ministry of Agriculture is involved in the use of social media as a forum for the socialization of work programs and achievements, as well as public information openly. In previous research, Social Network Analysis was used to see the relationship between actors in a work environment, or as a basis for identification in decision making on the application of technology adoption, whereas no one has used SNA to see trends in people's response to agricultural information. This study aims to see the extent to which information about agriculture reaches the community, as well as to see the community's response to take part in agricultural development. Besides that, this article will also show the actors who took part in disseminating information. Data was taken on November 13 to 20, 2020 from the Drone Emprit Academic, and was taken to be limited to 3000 nodes, then the results of the Social Network Analysis then calculated the values of Degree Centrality, Betweenness Centrality, Closeness Centrality, and Eigenvector Centrality. @AdrianiLaksmi has the highest value in Eigenvector Centrality and Degree Centrality, he has the greatest role in disseminating information and the most connections (followers) among other accounts that spread the same information. while the @RamliRizal account ranks the highest in Betweenness Centrality, who has the most frequently referred to information that has been circulating, and the highest Closeness Centrality is owned by the @baigmac account is the fastest person to retweet the first information written.