A Conceptual Hybrid AI-Cloud Model for Government Information Systems: A Structured Literature Review

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A Conceptual Hybrid AI-Cloud Model for Government Information Systems: A Structured Literature Review

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This study develops a comprehensive Hybrid AI-Cloud conceptual model to enhance
government information systems through digital transformation. Using a systematic
literature review (PRISMA protocol) of 51 publications (2020-2025) from Scopus,
IEEE Xplore, and ScienceDirect, we identify four critical components: a hybrid
architecture combining private and public clouds achieves 97.46% prediction
accuracy but faces interoperability challenges in Indonesia where 85% of agencies
use disparate systems; layered security with Hyperledger Fabric blockchain reduces
data breaches by 72%, though 65% of Indonesian institutions lack CSIRT teams;
user-centric designs score 76.88 on SUS scales yet encounter 71% civil servant
resistance to AI automation; and organizational adoption strategies based on
UTAUT frameworks are hindered by only 12% of civil servants having digital
certifications. The research reveals Indonesia's significant gaps in system
integration, cybersecurity preparedness, and digital literacy compared to global
leaders like Estonia and Singapore. Successful implementation requires standardized
cloud architectures with API gateways, mandatory cybersecurity audits,
comprehensive digital training programs, and phased adoption roadmaps with
change management components. While offering a holistic framework for digital
government transformation, the study acknowledges limitations including literature
bias toward developed nations and the need for local empirical validation through
pilot projects, suggesting future research should incorporate ethical AI governance
considerations alongside technical implementations.


Detail Information

Item Type
Other
Penulis
Tilly Raycitra Widya - Personal Name
Student ID
Dosen Pembimbing
Penguji
Kode Prodi PDDIKTI
55200
Edisi
Published
Departement
Informatika
Kontributor
Bahasa
Indonesia
Penerbit : .,
Edisi
Published
Subyek
No Panggil
Copyright
Lembaga Penerbit
Doi

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