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The Concept of Big Data in Bureaucratic Service Using Sentiment Analysis

Author

Listed:
  • Lia Muliawaty

    (Universitas Pasundan, Bandung, Indonesia)

  • Kamal Alamsyah

    (Universitas Pasundan, Bandung, Indonesia)

  • Ummu Salamah

    (Universitas Pasundan, Bandung, Indonesia)

  • Dian Sa'adillah Maylawati

    (UIN Sunan Gunung Djati Bandung, Bandung, Indonesia & Universiti Teknikal Malaysia Melaka, Melaka, Malaysia)

Abstract

The implementation of bureaucratic reform in Indonesia is not optimal and faces various obstacles. At present, public services demand excellent service and meet public satisfaction. The obstacles are rigid bureaucracy, incompetent bureaucrats or apparatuses, not professional, and there are technological gaps. Rapid technological development, such as digital technology and big data, has not been responded to positively by most bureaucrats. Big Data has a great potential for improving bureaucratic and public services. With a qualitative method and a waterfall software development life cycle, this article provides the design of a bureaucracy sentiment analysis application which implements Big Data technology for analyzing the opinions about bureaucratic service in Indonesia. This is for the purpose that the bureaucratic services can be improved based on societal opinion. The results of the experiment using RapidMiner showed that sentiment analysis as a Big Data technique for bureaucratic service based on societal opinion can be used to evaluate performance better.

Suggested Citation

  • Lia Muliawaty & Kamal Alamsyah & Ummu Salamah & Dian Sa'adillah Maylawati, 2019. "The Concept of Big Data in Bureaucratic Service Using Sentiment Analysis," International Journal of Sociotechnology and Knowledge Development (IJSKD), IGI Global, vol. 11(3), pages 1-13, July.
    • Handle: RePEc:igg:jskd00:v:11:y:2019:i:3:p:1-13
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    Cited by:

    1. Nur Muhammaditya & Sudarsono Hardjosoekarto & One Herwantoko & Yulia Gita Fany & Mahari Is Subangun, 2022. "Institutional Divergence of Digital Item Bank Management in Bureaucratic Hybridization: An Application of SSM Based Multi-Method," Systemic Practice and Action Research, Springer, vol. 35(4), pages 527-553, August.

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