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Scientific Article details

Title SOCIAL MEDIA ANALYSIS SUPPORTING SMART CITY IMPLEMENTATION (Practical Study in Bandung District)
ID_Doc 35980
Authors Roessobiyatno; Anggoro, TP; Nainggolan, B; Purwandesi, E
Title SOCIAL MEDIA ANALYSIS SUPPORTING SMART CITY IMPLEMENTATION (Practical Study in Bandung District)
Year 2016
Published
DOI
Abstract The implementation of Big Data technology in the environment of both central and local governments have helped local leader in determining strategy and deciding a policy for the benefit of its citizen. Big Data implementation in several towns and districts in Indonesia is one of the solutions for the municipal government to provide a rapid response and the right solution in the midst of the increasing problems that exist in the city. One of solution using Big Data is Social Data Analysis. Bandung District as a city has launched its vision that is To Create Advanced, Independent and Competitive Bandung District. To support Smart City, the government of Bandung District in cooperation with PT. Telkom is implementing Big Data to accommodate people aspirations to Bandung District government submitted via social media. Using Big Data, the incoming data from Social Media is processed using Social Media Analytics into information, then by parameters based on the classification of the existing painful problem, the information can be used by the district government to make decisions and provide solutions to the problems that occur in the city. This research is conducted to examine the Social Media Analytics in supporting the implementation of Smart City. The study is conducted with On Desk Research methods by collecting relevant information from internal and external organization.
Author Keywords big data; smart city; social media; government
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000391584600018
WoS Category Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods
Research Area Computer Science
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