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Analisis Penerapan Smart City Menggunakan IT Balanced Scorecard Adhe Ronny Julians; Melkior Nikolar Ngalumsine Sitokdana
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 2 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i2.1720

Abstract

Mimika District Population and Civil Registration Office continues to issue new breakthroughs, especially smart city programs, in order to bring services closer to the community more precisely, efficiently, effectively, responsively, and continue to increase innovation and adoption of integrated technologies.. The purpose of this study is to analyze the conditions of smart city implementation that has been running in the research site using 4 perspectives contained in the IT Balanced Scorecard. This study uses a qualitative descriptive approach, supported by observations and interviews to strengthen the research. The results revealed that the perspective of the company's contribution, user orientation, and future orientation is good by providing excellent service comfort and speed, as well as how these services work so as to increase citizens' satisfaction with intelligent system service products. But from an operational refinement perspective, there are problems with internet networks that have not been optimized.
An Ambidextrous AI Governance Framework for Smart Cities to Enhance IT Governance and Data Security Agustinus Fritz Wijaya; A’ang Subiyakto; Adhe Ronny Julians; Merryana Lestari; Gloria Batseyba Warella
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 2 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i2.1082

Abstract

This study proposes an ambidextrous AI governance framework grounded in COBIT 2019 to guide the deployment of artificial intelligence in smart city infrastructures while ensuring robust IT governance and data security. The framework blends exploration‑exploitative governance strategies to support innovation in smart urban management, while maintaining accountability, risk control, and regulatory compliance. State‑of‑the‑art review includes AI governance adaptations of COBIT 2019. The study achieved measurable improvements in governance maturity, with notable increases such as a 69.2% enhancement in DSS05 (Manage Security Services) and a 60.7% improvement in APO12 (Managed Risk). The literature review was based on a targeted analysis of peer-reviewed sources published between 2020 and 2025, ensuring relevance to AI governance in smart cities. Keywords are arranged from general to specific to improve indexing and clarity: AI Governance, Smart Cities, COBIT 2019, Ambidextrous Governance, Data Security.
An Ambidextrous AI Governance Framework for Smart Cities to Enhance IT Governance and Data Security Agustinus Fritz Wijaya; A’ang Subiyakto; Adhe Ronny Julians; Merryana Lestari; Gloria Batseyba Warella
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 2 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i2.1082

Abstract

This study proposes an ambidextrous AI governance framework grounded in COBIT 2019 to guide the deployment of artificial intelligence in smart city infrastructures while ensuring robust IT governance and data security. The framework blends exploration‑exploitative governance strategies to support innovation in smart urban management, while maintaining accountability, risk control, and regulatory compliance. State‑of‑the‑art review includes AI governance adaptations of COBIT 2019. The study achieved measurable improvements in governance maturity, with notable increases such as a 69.2% enhancement in DSS05 (Manage Security Services) and a 60.7% improvement in APO12 (Managed Risk). The literature review was based on a targeted analysis of peer-reviewed sources published between 2020 and 2025, ensuring relevance to AI governance in smart cities. Keywords are arranged from general to specific to improve indexing and clarity: AI Governance, Smart Cities, COBIT 2019, Ambidextrous Governance, Data Security.