Identification of social symptoms using the drone emprit academic as a support for statistical literacy

Adji, Waluyo Satrio, Bashith, Abdul, Nashith, Ali and Amin, Saiful (2019) Identification of social symptoms using the drone emprit academic as a support for statistical literacy. Abjadia, 4 (2). pp. 60-67. ISSN 2528-3979

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Social problems in Indonesia in particular are caused by social phenomena transmitted to users of social media, especially Twitter. Big data system provided by Drone Emprit Academic is able to find social phenomena. The ability of critical literacy to read and write supported by statistical data is very important in the 4.0 era. The aim of the research is to find out which Drone Emprit Academic works, analyzes, and displays data on social phenomena whose results can be used to support critical Literacy. This research uses a qualitative approach, literature study method. The analysis includes three stages, namely organize, synthesize, identify. The results of this study that Drone Emprit Academic is a big data system that carries out social network analysis of specific conversations on Twitter in semi-realtime and detail. The form displayed is in the form of a percentage of trends, retweet relationships, mentioning trend graphs, most retweet statuses, conversation trends. The data generated can help read information about social phenomena so that it can support critical literacy which has been partially published in online and offline media.

Item Type: Journal Article
Keywords: Social Symptoms; Drone Emprit Academic; Statistical Literacy
Subjects: 13 EDUCATION > 1399 Other Education > 139999 Education not elsewhere classified
Divisions: Faculty of Tarbiyah and Teaching Training > Department of Social Science Education
Depositing User: Saiful Amin
Date Deposited: 03 Feb 2020 10:39


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