A Conceptual Hybrid AI-Cloud Model for Government Information Systems: A Structured Literature Review
DOI:
https://doi.org/10.30871/jaic.v9i5.10082Keywords:
Hybrid AI-Cloud, Government Information Systems, Digital Transformation, Data Security, Technology AdoptionAbstract
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.
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References
[1] “Digital government | OECD.” Accessed: Jul. 22, 2025. [Online]. Available: https://www.oecd.org/en/topics/digital-government.html
[2] “UN E-Government Survey 2024.” Accessed: Jul. 22, 2025. [Online]. Available: https://publicadministration.un.org/egovkb/en-us/reports/un-e-government-survey-2024
[3] I. Mergel, “Digital Transformation of the German State,” 2021, pp. 331–355. doi: 10.1007/978-3-030-53697-8_19.
[4] M. R. González-Rodríguez, M. C. Díaz-Fernández, and C. Pacheco Gómez, “Facial-expression recognition: An emergent approach to the measurement of tourist satisfaction through emotions,” Telematics and Informatics, vol. 51, p. 101404, Aug. 2020, doi: 10.1016/j.tele.2020.101404.
[5] S. S. Mishra and A. T. Geleta, “Can an E-Government System Ensure Citizens’ Satisfaction without Service Delivery?,” International Journal of Public Administration, vol. 43, no. 3, pp. 242–252, Feb. 2020, doi: 10.1080/01900692.2019.1628053.
[6] B. Koc, U. Sener, and P. E. Eren, “Determinative Factors of Cloud Computing Adoption in Government Organizations,” in 2022 3rd International Informatics and Software Engineering Conference (IISEC), IEEE, Dec. 2022, pp. 1–6. doi: 10.1109/IISEC56263.2022.9998286.
[7] C. Zhang and Y. Lu, “Study on artificial intelligence: The state of the art and future prospects,” J Ind Inf Integr, vol. 23, p. 100224, Sep. 2021, doi: 10.1016/j.jii.2021.100224.
[8] “AI watch, artificial intelligence in public services - Publications Office of the EU.” Accessed: Jul. 21, 2025. [Online]. Available: https://op.europa.eu/en/publication-detail/-/publication/4c72dd88-bcda-11ea-811c-01aa75ed71a1/language-en
[9] T.-M. Yang and Y.-J. Wu, “Looking for datasets to open: An exploration of government officials’ information behaviors in open data policy implementation,” Gov Inf Q, vol. 38, no. 2, p. 101574, Apr. 2021, doi: 10.1016/j.giq.2021.101574.
[10] Y. Sun, C. Yang, X.-L. Shen, and N. Wang, “When digitalized customers meet digitalized services: A digitalized social cognitive perspective of omnichannel service usage,” Int J Inf Manage, vol. 54, p. 102200, Oct. 2020, doi: 10.1016/j.ijinfomgt.2020.102200.
[11] K. K. Larsson, “Digitization or equality: When government automation covers some, but not all citizens,” Gov Inf Q, vol. 38, no. 1, p. 101547, Jan. 2021, doi: 10.1016/j.giq.2020.101547.
[12] M. Alruwaie, R. El-Haddadeh, and V. Weerakkody, “Citizens’ continuous use of eGovernment services: The role of self-efficacy, outcome expectations and satisfaction,” Gov Inf Q, vol. 37, no. 3, p. 101485, Jul. 2020, doi: 10.1016/j.giq.2020.101485.
[13] S. S. Mishra and A. T. Geleta, “Can an E-Government System Ensure Citizens’ Satisfaction without Service Delivery?,” International Journal of Public Administration, vol. 43, no. 3, pp. 242–252, Feb. 2020, doi: 10.1080/01900692.2019.1628053.
[14] “Kementerian Pendayagunaan Aparatur Negara dan Reformasi Birokrasi - Kementerian PANRB Umumkan Hasil Evaluasi SPBE Tahun 2023.” Accessed: Jul. 21, 2025. [Online]. Available: https://www.menpan.go.id/site/berita-terkini/kementerian-panrb-umumkan-hasil-evaluasi-spbe-tahun-2023
[15] T. Jukić, I. Pluchinotta, R. Hržica, and S. Vrbek, “Organizational maturity for co-creation: Towards a multi-attribute decision support model for public organizations,” Gov Inf Q, vol. 39, no. 1, p. 101623, Jan. 2022, doi: 10.1016/j.giq.2021.101623.
[16] “Digital Indonesia Road Map 2021-2024 | Download Scientific Diagram.” Accessed: Jul. 21, 2025. [Online]. Available: https://www.researchgate.net/figure/Digital-Indonesia-Road-Map-2021-2024_fig1_375099273
[17] “Advanced Cloud Systems for Digital Government Development.” Accessed: Jul. 23, 2025. [Online]. Available: https://documents.worldbank.org/en/publication/documents-reports/documentdetail/099062323214018121
[18] “JDIH Kementerian PANRB.” Accessed: Jul. 23, 2025. [Online]. Available: https://jdih.menpan.go.id/dokumen-hukum/PEDOMAN%20MENTERI/jenis/1848?PEDOMAN%20MENTERI
[19] “Kementerian Pendayagunaan Aparatur Negara dan Reformasi Birokrasi - Beranda.” Accessed: Jul. 23, 2025. [Online]. Available: https://www.menpan.go.id/site/
[20] “Digital Progress And Trends Report 2023.”
[21] “Lanskap Keamanan Siber Indonesia 2024.”
[22] “Indonesia Paling Rentan Akan Ancaman Keamanan Cloud di Asia Pasifik - Info Komputer.” Accessed: Jul. 23, 2025. [Online]. Available: https://infokomputer.grid.id/read/124166126/indonesia-paling-rentan-akan-ancaman-keamanan-cloud-di-asia-pasifik
[23] “MIL-CSIRT TNI.” Accessed: Jul. 23, 2025. [Online]. Available: https://milcsirt-tni.mil.id/portal/berita/40
[24] “Security leaders say cloud platform misconfiguration is biggest threat | Security Magazine.” Accessed: Jul. 24, 2025. [Online]. Available: https://www.securitymagazine.com/articles/99565-security-leaders-say-cloud-platform-misconfiguration-is-biggest-threat
[25] “88% of Government Agencies Say Misconfiguration of Cloud Services is a Top Security Threat; Pre-pandemic, Only 25% Considered it Critical.” Accessed: Jul. 24, 2025. [Online]. Available: https://www.netwrix.com/88_percent_of_government_agencies_say_misconfiguration_of_cloud_services_is_a_top_threat.html
[26] P. A. W. Putro, D. I. Sensuse, and W. S. S. Wibowo, “Framework for critical information infrastructure protection in smart government: a case study in Indonesia,” Information & Computer Security, vol. 32, no. 1, pp. 112–129, Jan. 2024, doi: 10.1108/ICS-03-2023-0031.
[27] T.-M. Yang and Y.-J. Wu, “Looking for datasets to open: An exploration of government officials’ information behaviors in open data policy implementation,” Gov Inf Q, vol. 38, no. 2, p. 101574, Apr. 2021, doi: 10.1016/j.giq.2021.101574.
[28] M. Alruwaie, R. El-Haddadeh, and V. Weerakkody, “Citizens’ continuous use of eGovernment services: The role of self-efficacy, outcome expectations and satisfaction,” Gov Inf Q, vol. 37, no. 3, p. 101485, Jul. 2020, doi: 10.1016/j.giq.2020.101485.
[29]: : “CSIRT Badan Pusat Statistik ::” Accessed: Jul. 23, 2025. [Online]. Available: https://csirt.bps.go.id/
[30] “Kementerian Komunikasi dan Digital.” Accessed: Jul. 23, 2025. [Online]. Available: https://www.komdigi.go.id/berita/sorotan-media/detail/kemenkominfo-mayoritas-server-instansi-pemerintah-sudah-diretas
[31] “Lampiran Peraturan Presiden Republik Indonesia Nomor 18 Tahun 2020 Tentang Rencana Pembangunan Jangka Menengah Nasional 2020-2024 Narasi Republik Indonesia.”
[32] F. Pethig, J. Kroenung, and M. Noeltner, “A stigma power perspective on digital government service avoidance,” Gov Inf Q, vol. 38, no. 2, p. 101545, Apr. 2021, doi: 10.1016/j.giq.2020.101545.
[33] “Researchers find AI training data, employee credentials in exposed government contractor database.” Accessed: Jul. 24, 2025. [Online]. Available: https://www.axios.com/2024/04/30/upguard-ai-training-data-leak-research?utm_source=chatgpt.com
[34] “Half of public sector struggling with cloud security | THINK Digital Partners : THINK Digital Partners.” Accessed: Jul. 24, 2025. [Online]. Available: https://www.thinkdigitalpartners.com/news/2024/07/30/half-of-public-sector-struggling-with-cloud-security/?utm_source=chatgpt.com
[35] “Security leaders say cloud platform misconfiguration is biggest threat | Security Magazine.” Accessed: Jul. 24, 2025. [Online]. Available: https://www.securitymagazine.com/articles/99565-security-leaders-say-cloud-platform-misconfiguration-is-biggest-threat?utm_source=chatgpt.com
[36] “EY survey reveals large gap between government organizations’ AI ambitions and reality | EY - Global.” Accessed: Jul. 24, 2025. [Online]. Available: https://www.ey.com/en_gl/newsroom/2025/06/ey-survey-reveals-large-gap-between-government-organizations-ai-ambitions-and-reality
[37] “Q1 2025 Research Digest: Government’s Shift from ‘Emerging’ to ‘Embedded’ AI - Insights | Public Sector Network.” Accessed: Jul. 24, 2025. [Online]. Available: https://www.publicsectornetwork.com/insight/q1-2025-research-digest-governments-shift-from-emerging-to-embedded-ai
[38] T. Übellacker, “Making Sense of AI Limitations: How Individual Perceptions Shape Organizational Readiness for AI Adoption,” Feb. 2025, [Online]. Available: http://arxiv.org/abs/2502.15870
[39] S. Y. Tan and A. Taeihagh, “Adaptive governance of autonomous vehicles: Accelerating the adoption of disruptive technologies in Singapore,” Gov Inf Q, vol. 38, no. 2, p. 101546, Apr. 2021, doi: 10.1016/j.giq.2020.101546.
[40] “Governance | OECD.” Accessed: Jul. 24, 2025. [Online]. Available: https://www.oecd.org/en/topics/governance.html
[41] V. J. Straub, D. Morgan, J. Bright, and H. Margetts, “Artificial intelligence in government: Concepts, standards, and a unified framework,” Oct. 2022, Accessed: Jul. 24, 2025. [Online]. Available: https://arxiv.org/pdf/2210.17218
[42] M. F. Wahyudi, L. Fanani, and A. H. Brata, “Aplikasi Berbasis Progressive Web App (Mentoree) sebagai Layanan Pendampingan Pembelajaran Pemrograman di Universitas Brawijaya,” Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 12, no. 2, pp. 481–490, Apr. 2025, doi: 10.25126/jtiik.2025128733.
[43] L. Trisnadi, I. S. Eris Maghfiroh, and M. C. Saputra, “Analisis Penerimaan Pengguna Learning Management System (LMS) BRONE di Universitas Brawijaya berdasarkan Model Unified Theory of Acceptance and Use of Technology (UTAUT),” Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 12, no. 2, pp. 369–378, Apr. 2025, doi: 10.25126/jtiik.2025129425.
[44] M. Senthilvel, J. Oraskari, and J. Beetz, “Common Data Environments for the Information Container for linked Document Delivery.” [Online]. Available: https://www.w3.org/community/lbd/
[45] “Security and Privacy Controls for Information Systems and Organizations,” Gaithersburg, MD, Sep. 2020. doi: 10.6028/NIST.SP.800-53r5.
[46] X. Piao, H. Ding, and H. Song, “Performance Analysis of Endorsement in Hyperledger Fabric Concerning Endorsement Policies,” Electronics (Basel), vol. 12, no. 20, p. 4322, Oct. 2023, doi: 10.3390/electronics12204322.
[47] K. Li and B. Wang, “Technological Anxiety in the Public Sector: Exploring the Impact of Digital Factors on Personnel Performance,” SocioEconomic Challenges, vol. 8, no. 3, pp. 61–76, Oct. 2024, doi: 10.61093/sec.8(3).61-76.2024.
[48] H. A. Widyanto, K. A. Kusumawardani, and H. Yohanes, “Safety first: extending UTAUT to better predict mobile payment adoption by incorporating perceived security, perceived risk and trust,” Journal of Science and Technology Policy Management, vol. 13, no. 4, pp. 952–973, Nov. 2022, doi: 10.1108/JSTPM-03-2020-0058.
[49] I. Y. H. Ng, S. S. Lim, and N. Pang, “Making universal digital access universal: lessons from COVID-19 in Singapore,” Univers Access Inf Soc, vol. 22, no. 3, pp. 1073–1083, Aug. 2023, doi: 10.1007/s10209-022-00877-9.
[50] K. Sha and A. Taeihagh, “Designing adaptive policy packages for inclusive smart cities: Lessons from Singapore’s smart nation program,” Sustain Cities Soc, vol. 115, p. 105868, Nov. 2024, doi: 10.1016/j.scs.2024.105868.
[51] “Smart Nation Singapore | Smart Nation Singapore.” Accessed: Jul. 29, 2025. [Online]. Available: https://www.smartnation.gov.sg/
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Copyright (c) 2025 Tilly Raycitra Widya, Dede Cahyadi, Duta Arief Christanto, Lilik Tiara Giantri, Muhammad Hudzaifah
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