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Exploring the Impact of Artificial Intelligence on Women's Empowerment: A Comprehensive Survey Shahbazi, Hafizullah; Hakimi, Musawer; Ulusi, Helena; Rahimi, Behnaz; Quraishi, Tamanna
Journal of Community Service and Society Empowerment Том 2 № 03 (2024): Journal of Community Service and Society Empowerment
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jcsse.v2i03.856

Artificial intelligence (AI) has the capacity to greatly empower women and promote gender equality on a global scale. However, in order to effectively utilise AI to promote women's empowerment, it is crucial to have a comprehensive comprehension of its influence, possibilities, and difficulties. This study examines the various aspects of how AI contributes to the advancement of women's empowerment. It explores the extent to which AI is integrated into initiatives aimed at empowering women, the perceived impact of AI on women's empowerment on a global scale, and the obstacles women face in accessing AI opportunities. An integrated research methodology, including of surveys and literature evaluation, was utilised to collect data from a diverse sample of 88 people. The results indicate a substantial degree of AI incorporation in projects aimed at empowering women, with varying perspectives on the impact of AI. Additionally, the study revealed difficulties in accessing AI opportunities and observed differing levels of knowledge among women. This study highlights the significance of ethical issues and inclusive policies in utilising AI to promote women's empowerment. The findings provide significant knowledge for policymakers, researchers, and practitioners who aim to utilise AI's revolutionary capacity to promote gender equality and empower women on a global scale.

Integrating Blockchain Technology for Secure E-Government Services: Opportunities and Challenges Hakimi, Musawer; Rahmani, Khoshal Rahman; Ezam, Zakirullah; Shahbazi, Hafizullah
Journal of Social Science Utilizing Technology Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i3.1266

Background. Blockchain technology offers tremendous promise for achieving higher levels of security, transparency, and efficiency in e?government service delivery. Governments around the world are actively pursuing the possibilities at stake, and understanding the opportunities and challenges becomes imperative for adoption. Purpose. This research will focus on how blockchain technology is incorporated into e-government services to increase security, economic benefits through integration with AI, improved activities on database performance by machine learning, ethical perspectives, and implications on future research. Method. A literature review was carried out mainly on databases including IEEE Xplore, ACM Digital Library, Scopus, Science Direct, Springer, and Google Scholar for papers dating from 2018 to 2024. Results. Key findings and insights were, therefore, extracted to give a full view of the envisaged blockchain role in government. Blockchain technology provides integrity, transparency, and decentralized governance to improve the security of e-government. Realization of economic impacts shall be seen through operational efficiency and cost savings, again through artificial intelligence in this integration. Conclusion. Machine learning algorithms bring optimality to database performance, enhancing scalability and responsiveness in large-scale applications of e-government. Essentially, ethics consider aspects of privacy, security, and public trust, which naturally would call for very strong regulatory frameworks and privacy-preserving mechanisms. Such integration of blockchain into e-government hence opens up a window of opportunity to change the operation, service delivery, and citizen engagement in the public sector. Such a study invites the implementation of R&D in recreating new adaptable regulatory frameworks, capacity building, and proactive public awareness campaigns. It also points out future research needs in the area of scalability solutions, interoperability, construction of privacy-preserving mechanisms, impact assessment, and successful governance models.

Integrating Blockchain Technology for Secure E-Government Services: Opportunities and Challenges Hakimi, Musawer; Rahmani, Khoshal Rahman; Ezam, Zakirullah; Shahbazi, Hafizullah
Journal of Social Science Utilizing Technology Vol. 2 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i3.1266

Background. Blockchain technology offers tremendous promise for achieving higher levels of security, transparency, and efficiency in e?government service delivery. Governments around the world are actively pursuing the possibilities at stake, and understanding the opportunities and challenges becomes imperative for adoption. Purpose. This research will focus on how blockchain technology is incorporated into e-government services to increase security, economic benefits through integration with AI, improved activities on database performance by machine learning, ethical perspectives, and implications on future research. Method. A literature review was carried out mainly on databases including IEEE Xplore, ACM Digital Library, Scopus, Science Direct, Springer, and Google Scholar for papers dating from 2018 to 2024. Results. Key findings and insights were, therefore, extracted to give a full view of the envisaged blockchain role in government. Blockchain technology provides integrity, transparency, and decentralized governance to improve the security of e-government. Realization of economic impacts shall be seen through operational efficiency and cost savings, again through artificial intelligence in this integration. Conclusion. Machine learning algorithms bring optimality to database performance, enhancing scalability and responsiveness in large-scale applications of e-government. Essentially, ethics consider aspects of privacy, security, and public trust, which naturally would call for very strong regulatory frameworks and privacy-preserving mechanisms. Such integration of blockchain into e-government hence opens up a window of opportunity to change the operation, service delivery, and citizen engagement in the public sector. Such a study invites the implementation of R&D in recreating new adaptable regulatory frameworks, capacity building, and proactive public awareness campaigns. It also points out future research needs in the area of scalability solutions, interoperability, construction of privacy-preserving mechanisms, impact assessment, and successful governance models.

Metaverse Security Challenges and Solutions: A Comprehensive Analysis of Contemporary Technologies Rahimi, Nasrallah; Hakimi, Musawer; Rahmani, Khoshal; Rastagari, Mohammad Aziz; Danish, Jawad; Shahbazi, Hafizullah
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 1 (2025): FEBRUARY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i1.1674

The metaverse, the virtual world integrating augmented reality, virtual reality, and other digital technologies, poses tremendous opportunities and challenges regarding security, privacy, and governance. With digital worlds such as the metaverse beginning to take place, user-generated content and user interaction are proving to be more and more a daunting task. In this paper, the metaverse security challenge is discussed and some proposals and recommendations are formulated. This study used a mixed-methods approach and surveyed data from 85 students, lecturers, and technical professionals who were interested in information technology. Quantitative data were captured through structured questionnaires and surveys, and processed in SPSS, and qualitative data were elicited through thematic analysis. The results suggest strong support for the metaverse, yet raise concerns for technical limitations, privacy issues and environmental impacts. Technical problems like hardware requirements and system lag were discovered by 50% of the respondents to be significant barriers, 12% mentioned privacy and security concerns as barriers, and 7% reported other types of barriers such as access issues. Most respondents were concerned that the metaverse was not very safe but reported areas for improvement. The study advises stricter regulation, better legislation on data privacy, and a better reporting mechanism to combat online abuse. Therefore, the work adds to a new metaverse security literature and provides applied policy, governance, and space-building lessons. With the expansion and further development of the metaverse, future research will be required to deconstruct these dimensions more extensively.

Effective Data Preprocessing in Data Science: From Method Selection to Domain-Specific Optimization Shahidi, Shahwali; Wahid Samadzai, Abdul; Shahbazi, Hafizullah
Journal of Advanced Computer Knowledge and Algorithms Vol. 2 No. 4 (2025): Journal of Advanced Computer Knowledge and Algorithms - October 2025
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v2i4.22886

In the era of big data and artificial intelligence, data preprocessing has emerged as a critical step in the data science pipeline, influencing the quality, performance, and reliability of machine learning models. Despite its importance, the diversity of techniques, challenges, and evolving practices necessitate a structured understanding of this domain. This study conducts a systematic literature review (SLR) to explore current data preprocessing techniques, their domain-specific applications, associated challenges, and emerging trends. A total of 21 peer-reviewed articles from 2016 to 2024 were analyzed using well-defined inclusion and exclusion criteria, with a focus on machine learning and big data contexts. The results reveal that normalization, data cleaning, feature selection, and dimensionality reduction are the most commonly applied techniques. Key challenges identified include handling missing values, high dimensionality, and imbalanced data. Moreover, recent trends such as automated preprocessing (AutoML), privacy-preserving methods, and scalable preprocessing for distributed systems are gaining momentum. The review concludes that while traditional methods remain foundational, there is a shift toward adaptive and intelligent preprocessing strategies to meet the growing complexity of data environments. This study offers valuable insights for researchers and practitioners aiming to optimize data preparation processes in modern data science workflows

Exploring the Impact of Artificial Intelligence on Women's Empowerment: A Comprehensive Survey Shahbazi, Hafizullah; Hakimi, Musawer; Ulusi, Helena; Rahimi, Behnaz; Quraishi, Tamanna
EDUTREND: Journal of Emerging Issues and Trends in Education Vol. 1 No. 2 (2024): EDUTREND: Journal of Emerging Issues and Trends in Education
Publisher : Lembaga Riset dan Inovasi Masyarakat Madani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59110/edutrend.333

Artificial intelligence (AI) can significantly empower women and promote gender equality globally. However, to effectively utilize AI to promote women's empowerment, it is crucial to comprehend its influence, possibilities, and difficulties comprehensively. This study examines the various aspects of how AI contributes to the advancement of women's empowerment. It explores the extent to which AI is integrated into initiatives aimed at empowering women, the perceived impact of AI on women's empowerment on a global scale, and the obstacles women face in accessing AI opportunities. An integrated research methodology, including surveys and literature evaluation, was utilized to collect data from a diverse sample of 88 people. The results indicate a substantial degree of AI incorporation in projects aimed at empowering women, with varying perspectives on the impact of AI. Additionally, the study revealed difficulties in accessing AI opportunities and observed differing levels of knowledge among women. This study highlights the significance of ethical issues and inclusive policies in utilizing AI to promote women's empowerment. The findings provide significant knowledge for policymakers, researchers, and practitioners who aim to utilize AI's revolutionary capacity to promote gender equality and empower women globally.

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