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All Journal Jurnal Studi Pemerintahan Jurnal Ilmu Administrasi: Media Pengembangan Ilmu dan Praktek Administrasi Jurnal Ilmu Administrasi: Media Pengembangan Ilmu dan Praktek Administrasi
Kurnia Wati, Nila
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Humanities Social Sciences

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E-GOVERNMENT INSTITUTIONAL CAPACITY IN PROVINCIAL GOVERNMENTS OF WEST-JAVA AND EAST-JAVA Suwarno, Yogi; Kurnia Wati, Nila
Jurnal Studi Pemerintahan Vol 11, No 2 (2020): July 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jgp.112117

Abstract

This study aims to analyse the institutional capacity of provincial governments of West-Java and East-Java on e-government in Indonesia in order to provide lessons learned for the government in developing e-government institutions. It uses a qualitative method with a case study approach to explore the implementation of e-government in local governments. This research focuses on five dimensions of the action environment, public sector institutions, task networks, organizations and human resources, and the Chief Information Officer (CIO). The results showed that, the action environment dimension of each region has different social and economic profiles so that the literacy level of the population in responding to e-government also varies. For the second and third dimensions, unlike the East Java province, the West Java province has specific rules and procedures as well as clear standards and planning related to e-government. Yet, the West Java province has not determined particular regulation on task and duty of its Office of Communication and Information. The aspect of the human resource dimension shows that the professional ICT group has not yet been fulfilled and there are still many positions related to IT are occupied by those who have no IT background. With regard to CIOs, only West Java province that has specific rules regarding CIOs.
E-GOVERNMENT INSTITUTIONAL CAPACITY IN PROVINCIAL GOVERNMENTS OF WEST-JAVA AND EAST-JAVA Suwarno, Yogi; Kurnia Wati, Nila
Jurnal Studi Pemerintahan Vol 11, No 2 (2020): July 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jgp.112117

Abstract

This study aims to analyse the institutional capacity of provincial governments of West-Java and East-Java on e-government in Indonesia in order to provide lessons learned for the government in developing e-government institutions. It uses a qualitative method with a case study approach to explore the implementation of e-government in local governments. This research focuses on five dimensions of the action environment, public sector institutions, task networks, organizations and human resources, and the Chief Information Officer (CIO). The results showed that, the action environment dimension of each region has different social and economic profiles so that the literacy level of the population in responding to e-government also varies. For the second and third dimensions, unlike the East Java province, the West Java province has specific rules and procedures as well as clear standards and planning related to e-government. Yet, the West Java province has not determined particular regulation on task and duty of its Office of Communication and Information. The aspect of the human resource dimension shows that the professional ICT group has not yet been fulfilled and there are still many positions related to IT are occupied by those who have no IT background. With regard to CIOs, only West Java province that has specific rules regarding CIOs.
Artificial Intelligence (AI) in Public Policy Reform: Approaches, Challenges, And Outcomes Kurnia Wati, Nila; Hanafi, Imam
Jurnal Ilmu Administrasi: Media Pengembangan Ilmu dan Praktek Administrasi Vol. 22 No. 2 (2025): December 2025
Publisher : Sekolah Tinggi Ilmu Administrasi Lembaga Administrasi Negara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31113/jia.v22i2.1283

Abstract

Artificial Intelligence (AI) plays a crucial role in driving public policy reform by enhancing bureaucratic efficiency, improving the quality of decision-making, and enabling the personalization of public services. Technologies such as machine learning, predictive analytics, and automated decision-making systems enable governments to process large-scale data, anticipate societal needs, and optimize service delivery across various sectors. This study employs a Systematic Literature Review (SLR) by analyzing 40 peer-reviewed articles published between 2010 and 2024 to examine approaches to AI implementation, associated challenges, outcomes, and adoption patterns in public policy. The findings indicate that AI has been widely adopted in sectors such as healthcare, security, and public administration. The implementation of these technologies has demonstrably improved operational efficiency, enhanced decision-making quality, and supported more adaptive and personalized public services. Nevertheless, the application of AI in the public sector continues to face significant challenges, including algorithmic bias, ethical concerns, technical limitations, regulatory constraints, and data privacy risks. Cross-sectoral analysis also reveals disparities in adoption levels, with developed countries exhibiting higher degrees of AI integration than developing countries. Overall, this study highlights the substantial potential of AI in advancing data-driven governance. Therefore, ethical AI governance, transparent regulatory frameworks, and cross-sector collaboration are essential to ensure the responsible and sustainable implementation of AI.
Artificial Intelligence (AI) in Public Policy Reform: Approaches, Challenges, And Outcomes Kurnia Wati, Nila; Hanafi, Imam
Jurnal Ilmu Administrasi: Media Pengembangan Ilmu dan Praktek Administrasi Vol. 22 No. 2 (2025): December 2025
Publisher : Sekolah Tinggi Ilmu Administrasi Lembaga Administrasi Negara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31113/jia.v22i2.1283

Abstract

Artificial Intelligence (AI) plays a crucial role in driving public policy reform by enhancing bureaucratic efficiency, improving the quality of decision-making, and enabling the personalization of public services. Technologies such as machine learning, predictive analytics, and automated decision-making systems enable governments to process large-scale data, anticipate societal needs, and optimize service delivery across various sectors. This study employs a Systematic Literature Review (SLR) by analyzing 40 peer-reviewed articles published between 2010 and 2024 to examine approaches to AI implementation, associated challenges, outcomes, and adoption patterns in public policy. The findings indicate that AI has been widely adopted in sectors such as healthcare, security, and public administration. The implementation of these technologies has demonstrably improved operational efficiency, enhanced decision-making quality, and supported more adaptive and personalized public services. Nevertheless, the application of AI in the public sector continues to face significant challenges, including algorithmic bias, ethical concerns, technical limitations, regulatory constraints, and data privacy risks. Cross-sectoral analysis also reveals disparities in adoption levels, with developed countries exhibiting higher degrees of AI integration than developing countries. Overall, this study highlights the substantial potential of AI in advancing data-driven governance. Therefore, ethical AI governance, transparent regulatory frameworks, and cross-sector collaboration are essential to ensure the responsible and sustainable implementation of AI.
Co-Authors Imam Hanafi Suwarno, Yogi