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All Journal TIERS Information Technology Journal International Journal Software Engineering and Computer Science (IJSECS)
Ghafory, Hamayoon
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Computer Science & IT

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Enterprise Architecture in E-Government: A Study of Integration Challenges and Strategic Opportunities Hakimi, Musawer; Ghafory, Hamayoon; Fazil, Abdul Wajid
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2420

Abstract

Incorporating Enterprise Architecture (EA) into e-government frameworks shows potential for improving digital governance but poses notable difficulties. This study examines the intricacies and potential benefits associated with the incorporation of Enterprise Architecture (EA) into e-government projects. This study aims to investigate the level of enterprise architecture (EA) integration into e-government initiatives between 2016 and 2024 and provide insights into the obstacles and strategic opportunities associated with this integration. This research seeks to offer significant insights for policymakers, practitioners, and scholars on e-government by synthesizing existing material. We employed a methodical strategy, using the PRISMA selection process to collect and qualitatively combine 30 publications carefully. These publications were selected from a diverse pool of peer-reviewed articles, conference papers, and reports to conduct a thorough analysis of the integration of enterprise architecture in e-government. The literature research identified substantial barriers that impede the effective adoption of EA in e-government, including resistance within organizations, difficulties in leadership, limitations in resources, and complexities in technology. On the other hand, the analysis revealed strategic possibilities such as enhanced compatibility, scalability, and citizen-centric services, emphasizing Enterprise Architecture's revolutionary power in reforming governance procedures. To conclude, this study highlights the significance of tackling integration obstacles and using strategic possibilities to achieve the potential of EA in e-government fully. Policymakers and practitioners can utilize the knowledge acquired from this research to develop well-informed strategies for effectively managing the challenges of integrating enterprise architecture (EA) and attaining positive outcomes in digital governance. Future research should prioritize evaluating the applicability of integration solutions in different e-government settings and investigating the lasting effects of EA-driven digital governance on the quality of services and satisfaction of citizens
Revolutionizing Technology Education with Artificial Intelligence and Machine Learning: A Comprehensive Systematic Literature Review Hakimi, Musawer; Zarinkhail, Mohammad Shuaib; Ghafory, Hamayoon; Hamidi, Shir Ahmad
TIERS Information Technology Journal Vol. 5 No. 2 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i2.5640

Abstract

Machine learning and artificial intelligence in education will help to personalize the student learning process, reduce the time wastage in imploding administration systems, and innovate teaching methods. The article reports the findings of a study on the effects of these technologies on the educational systems of application, benefits, and challenges and looks forward to the implications. This has been realized through a systematic review of peer-reviewed journal articles, government reports, and policy documents published between 2021 and 2024. Results show great benefits, including enhanced personalized learning experiences and administrative efficiencies, but also highlight several challenges, such as equitable access, data privacy, and the need for professional development of educators. Rather, this research outlines the imperatives that there is a need to address challenges for the realization of the potential of AI and ML in education. The paper makes recommendations for key stakeholders and points out areas for possible future research to guide sustainable and ethical integration into educational systems. Further research should be done to understand whether these technologies affect student outcomes in the long term and are applicable with the same efficacy in other cultural and socioeconomic contexts.
Co-Authors Fazil, Abdul Wajid Hakimi, Musawer Hamidi, Shir Ahmad Zarinkhail, Mohammad Shuaib