The Concept of Big Data in Bureaucratic Service Using Sentiment Analysis

Muliawaty, Lia; Alamsyah, Kamal; Salamah, Ummu; Maylawati, Dian Sa’adillah

doi:10.4018/ijskd.2019070101

Cited by 16 publications

(12 citation statements)

References 29 publications

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“…The keywords include 'artificial intelligence,' 'industrial revolutions,' 'leadership style,' 'public services,' and 'technology-based.' The Indonesian government recently demonstrated technology development efforts as a form of innovation within the bureaucracy (Aminah & Saksono, 2021;Aminullah & Erman, 2021;Astuti, 2021;Callen et al, 2023;Effendi & Pribadi, 2021;Muliawaty et al, 2019). The application of technology is indeed considered to be able to increase efficiency, effectiveness, and improve the monitoring and evaluation function in government institutions (Aminah & Saksono, 2021;Aminullah & Erman, 2021;Astuti, 2021;Callen et al, 2023;Effendi & Pribadi, 2021;Muliawaty et al, 2019).…”

Section: Bibliographic Couplingmentioning

confidence: 99%

Dynamic Governance As Perspective in Indonesian Bureaucracy Reform: Qualitative Analysis of Indonesian Bureaucracy Reform Based on Dynamic Governance

Widowati,

Setyowati,

Suharto

2023

J. Bina Praja

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This study was conducted in the context of Indonesia, which has entered the final stage of the three-period bureaucratic reform. Although progress has been made in various fields, indicators show that Indonesia still needs to achieve the ideal standard in terms of bureaucratic reform. The study aims to analyze the developing reform bureaucracy from the perspective of government dynamics to evaluate the Indonesian government's efforts and identify the factors that become obstacles in the bureaucratic bureaucracy. Researchers use NVivo to map the practices of dynamic governance in Indonesia based on the systematic literature review (SLR) results. The results showed that the Indonesian government has begun to apply a dynamic governance approach in contextualizing and implementing the bureaucracy. However, resistance to change and past habits from the New Order era became an obstacle to bureaucratic reform. The results also showed that corruption is a fundamental problem that is still being faced in Indonesian culture and needs to be addressed immediately in efforts to reform the bureaucracy.

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Section: Bibliographic Couplingmentioning

confidence: 99%

Dynamic Governance As Perspective in Indonesian Bureaucracy Reform: Qualitative Analysis of Indonesian Bureaucracy Reform Based on Dynamic Governance

Widowati,

Setyowati,

Suharto

2023

J. Bina Praja

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“…According to Muellerleile and Robertson ( 2018 ), DWB is a change in modern bureaucracy of Weber driven by the digital machines as a perfect example for bureaucrats. Currently, Indonesia is entering the DWB phase as seen from the increase in digital transformation through the use of big data, digital code, and algorithms in both private and public sectors (Muliawaty et al 2019 ). Bureaucracy moves from the framework of paper in motion towards data in motion.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In our opinion, correlating the phenomenon of bureaucratic hybridization with the DEG concept is important when facing the reality of bureaucracy in Indonesia. Sari et al (2018) and Muliawaty et al (2019) show the indications of bureaucratic hybridization due to the massive use of digital technology and big data among incompetent and unprofessional bureaucrats or apparatuses with great technological gaps. This suggests the impossibility of discussing the current bureaucratic hybridization in Indonesia without relating it to DEG.…”

Section: Introductionmentioning

confidence: 99%

Institutional Divergence of Digital Item Bank Management in Bureaucratic Hybridization: An Application of SSM Based Multi-Method

Muhammaditya

Hardjosoekarto

Herwantoko

et al. 2021

Syst Pract Action Res

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“…This study classifies tweets from Twitter social media using sentiment analysis as a part of the text mining technique (Branz & Brockmann, 2018). There is much previous research of sentiment analysis from social media to get important information, among others: (1) sentiment analysis to analyze the satisfaction of citizens in public service (Akinboade, Kinfack, & Mokwena, 2012); (2) sentiment analysis of film review (Amrullah, Sofyan Anas, & Hidayat, 2020;Maylawati, Mudyawati, Wahisyam, & Maulana, 2021); (3) sentiment analysis to review product quality (Gunawan, Pratiwi, & Pratama, 2018); (4) sentiment analysis of government policy such as traffic control policy (Ruhyana, 2019) and bureaucratic service (Muliawaty, Alamsyah, Salamah, & Maylawati, 2019); and so on Based on that previous research, this study used the sentiment analysis technique to understand the disaster situation based on the response from the Government and public. The contribution of this research is to offer a method that can simultaneously identify responses from Government and society, which can help better understand disaster management.…”

Section: Introductionmentioning

confidence: 99%

Content Analysis of Social Media: Public and Government Response to COVID-19 Pandemic in Indonesia

Akbar

Kurniadi

Nurliawati³

2021

JSP

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Nowadays, the use of social media to analyze disaster responses has become important. However, its application to support decision-making by the Government during disasters still present significant challenges. This article offers a complete analysis of the response of the public and the Government in dealing with the COVID-19 Pandemics in Indonesia. The content analysis uses to analyze the tweet post on Twitter to determine the public and government response. Data was collected from public and government tweets on Twitter and producing 11,578 community tweets from the public and 958 tweets from the government account. This data was collected from 2nd March until 15th April 2020. Public comments are sorted into six categories of comments, that is fate, logic, government mention, worry, scientist, and impression, while sentiments are classified as positive, negative, and neutral. Government comments are sorted into eight categories, namely information, education, operating, warnings, resources provision, volunteer recruitment, and rumors management. The results showed that the public encourages and supports the Government to cope with a pandemic think rationally and logically in dealing with this Pandemic. In addition, the study indicates that the Government has not used social media as a medium for communicating with the public. The quality of government response is not good, especially in the categories of information on operations, warnings, resources provision, recruitment of volunteers, and rumors management. The implication of this study suggests how the data might be useful for the Government in delivering information during the Pandemic.

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The Concept of Big Data in Bureaucratic Service Using Sentiment Analysis

Cited by 16 publications

References 29 publications

Dynamic Governance As Perspective in Indonesian Bureaucracy Reform: Qualitative Analysis of Indonesian Bureaucracy Reform Based on Dynamic Governance

Dynamic Governance As Perspective in Indonesian Bureaucracy Reform: Qualitative Analysis of Indonesian Bureaucracy Reform Based on Dynamic Governance

Institutional Divergence of Digital Item Bank Management in Bureaucratic Hybridization: An Application of SSM Based Multi-Method

Content Analysis of Social Media: Public and Government Response to COVID-19 Pandemic in Indonesia

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