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Digital Transformation in Public Administration: Towards Data-Driven Government Dedy Suryadi; Ely Ibrahim
Journal of Creative Power and Ambition (JCPA) Vol. 4 No. 01 (2026): Journal of Creative Power and Ambition (JCPA)
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/jcpa.1513

Abstract

Digital transformation has become a fundamental driver of change in public administration, enabling governments to transition toward data-driven governance models that enhance efficiency, transparency, accountability, and citizen-centered service delivery. This study aims to analyze the strategic role of digital transformation in building data-driven government and to examine the challenges and future directions associated with its implementation in the public sector. Using a qualitative literature review approach, the study synthesizes recent scholarly publications on digital governance, big data, artificial intelligence, and public sector innovation. The findings indicate that digital transformation facilitates evidence-based policymaking, improves public service quality, strengthens interagency collaboration, and promotes greater transparency through the effective use of data and digital technologies. However, the transition toward data-driven government is accompanied by significant challenges, including data quality issues, cybersecurity risks, privacy concerns, organizational resistance, digital skill shortages, ethical implications of artificial intelligence, and digital inequality among citizens. The study further highlights that emerging technologies such as artificial intelligence, blockchain, digital twins, and the Internet of Things are expected to play an increasingly important role in shaping the future of public administration. To maximize the benefits of digital transformation, governments must develop adaptive governance frameworks, invest in digital infrastructure and human capital, ensure ethical and transparent technology use, and promote inclusive digital participation. The study concludes that data-driven government represents a transformative governance paradigm capable of improving public sector performance and supporting sustainable public value creation in the digital era.
OPTIMIZATION OF VILLAGE ASSET MANAGEMENT IN INCREASING VILLAGE ORIGINAL INCOME IN SUKA MAJU VILLAGE Nirwan Saleh; Ikram Muhammad; Ely Ibrahim
Jurnal Ilmu Manajemen dan Bisnis Vol. 12 No. 1 (2024): Jurnal Ilmu Manajemen dan Bisnis (JIMB)
Publisher : LP2M Universitas Bina Mandiri Gorontalo

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Abstract

The purpose of this study is to analyze the optimization of asset management in increasing the original income of villages in Sukamaju Village. The method used in this study is a qualitative method with a descriptive approach which is carried out for 3 months from July to September 2023 since the writing of the research design. Data collection through observation, interviews and documentation to the head of Sukamaju village, village secretary, general office and subsequent administration of the people of Sukamaju Village. Furthermore, the data is managed and analyzed qualitatively. The results showed that asset management in the original improvement of Sukamaju Village has been optimal from the procurement aspect because it has been in accordance with self-management and third parties in accordance with applicable regulations. However, it has not been optimal in terms of planning, utilization and maintenance due to incomplete asset data, the absence of regulations on the commercialization of village assets, concurrent managers and lack of asset management competence.