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Government Data Processing Mechanism to Support Smart City: A Bibliometric Review

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HCI International 2022 – Late Breaking Posters (HCII 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1655))

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Abstract

The study aims to analyze the mechanism of “government data processing in supporting smart cities.” The processing of government data collects raw data and translates it into information to create transparent, accountable, and participatory public service delivery strategies. This research was conducted in the United States, Spain, Indonesia, and Brazil. The research approach uses qualitative methods from previous review studies. The data sources in this study were taken from the Scopus database from 2012 to 2022. There are 73 articles, with the top four countries having the highest number of pieces, namely the United States, which has 11 papers, Spain has 10 articles, Indonesia has 6 articles, and Brazil has 6 articles, with the keywords “E-Government and Smart City.” Then the author compares the implementation of government data processing mechanisms in the United States, Spain, Indonesia, and Brazil. The research data analysis uses VOSviewer Software as an analytical tool to correlate data processing in government themes of information production in innovative city analysis. The results show that the development of the research “Government Data Processing in Supporting Smart City” from 2012 to 2022 has a fluctuating trend. Furthermore, this research answers that government data is divided into three dominating government process data: information management, big data, information, and communication. Government Data Processing Research in Supporting Smart City information management is seen from technology change, electronic commerce, innovation, and e-government. In contrast, big data is seen from data mining, platforms, and open data. In information and communication, it is seen in privacy, public administration, and e-participation.

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Authors and Affiliations

  1. Master of Government Affairs and Administration, Jusuf Kalla School Government, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia

    Muhammad Farhan HR & Achmad Nurmandi

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  1. Muhammad Farhan HR
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  2. Achmad Nurmandi
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Correspondence to Muhammad Farhan HR .

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Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  3. Foundation for Research and Technology Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

  4. University of Central Florida, Orlando, FL, USA

    Gavriel Salvendy

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Farhan HR, M., Nurmandi, A. (2022). Government Data Processing Mechanism to Support Smart City: A Bibliometric Review. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2022 – Late Breaking Posters. HCII 2022. Communications in Computer and Information Science, vol 1655. Springer, Cham. https://doi.org/10.1007/978-3-031-19682-9_63

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  • DOI: https://doi.org/10.1007/978-3-031-19682-9_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19681-2

  • Online ISBN: 978-3-031-19682-9

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