The Concept of Big Data in Bureaucratic Service Using Sentiment Analysis

Lia Muliawaty, Kamal Alamsyah, Ummu Salamah and Dian Sa'adillah Maylawati
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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

International Journal of Sociotechnology and Knowledge Development (IJSKD), 2019, vol. 11, issue 3, 1-13

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.

Date: 2019
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