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All Journal Jurnal Inovasi Teknologi Pendidikan Journal of Natural Science and Integration Buana Information Technology and Computer Sciences (BIT and CS) Nusantara Hasana Journal Journal of Technology and Informatics (JoTI) TIERS Information Technology Journal AMPLITUDO: Journal of Science & Technology Innovation MANDALIKA: Journal of Social Sciences Journal of Advanced Computer Knowledge and Algorithms EDUTREND: Journal of Emerging Issues and Trends in Education Journal of Social Science Utilizing Technology
Musawer Hakimi
Samangan University
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Other

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Journal : journal of social science utilizing technology

 1 
The Transformative Power of Information and Communication Technology in Empowering Women in Afghanistan Musawer Hakimi; Mohammad Mustafa Quchi; Ansarullah Hasas; Abdul Wajid Fazil
Journal of Social Science Utilizing Technology Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i1.702

Abstract

Background. This research addresses the intersection of Information and Communication Technology (ICT) and women’s empowerment in Afghanistan, aligning with global initiatives and Sustainable Development Goals (SDGs). The study aims to provide nuanced insights into the multifaceted impact of ICT on financial independence, economic empowerment, and health outcomes among Afghan women. Purpose. The research employs a purposive sampling method, involving 170 participants from diverse regions in Afghanistan to ensure representation from areas with varying socio-economic and cultural characteristics. Through a mixed-methods approach, including structured surveys and qualitative analysis, the study seeks to understand the perceptions of ICT and its experiences with women’s empowerment. Method. Structured surveys cover demographics, ICT perceptions, and women’s empowerment experiences. Qualitative data undergo thematic analysis, while quantitative analysis utilizes statistical methods such as ANOVA, logistic regression, chi-square tests, binomial tests, and descriptive statistics. Results. The findings underscore a consensus among participants on the positive impact of ICT, particularly on financial independence, economic empowerment, and health outcomes. Associations between telemedicine, digital health, and improved women’s health are identified. Binomial tests highlight success in bridging the digital gender gap and enhancing awareness. Positive perceptions of social media, online communities, and digital advocacy in promoting gender equality are revealed through descriptive statistics. Conclusion. This study contributes novel insights by comprehensively examining the impact of ICT on women’s empowerment in Afghanistan, covering diverse dimensions such as financial independence, economic empowerment, and health outcomes. The robust mixed-methods approach yields unique findings that enrich the existing literature on ICT and women’s empowerment.
A Comprehensive Review of Cybersecurity Measures in the IoT Era Ezatullah Ahmady; Abdul Rahman Mojadadi; Musawer Hakimi
Journal of Social Science Utilizing Technology Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i1.722

Abstract

Background. This research presents a comprehensive review of cybersecurity measures in the Internet of Things (IoT) era. The primary focus is on elucidating the evolving landscape of IoT cybersecurity, with specific attention to the integration of Artificial Intelligence (AI), machine learning, and risk management. The study aims to identify key advancements, challenges, and opportunities in securing interconnected devices, offering valuable insights for researchers, policymakers, and industry professionals. Purpose. Employing a hybrid methodological design that combines elements from narrative synthesis and heuristic analysis, this study utilizes purposive and snowball sampling techniques to select diverse and pertinent sources. The integration of semantic analysis, leveraging natural language processing algorithms, enriches data interpretation. Collaborative intelligence from cybersecurity, machine learning, and IoT experts enhances the study's perspective. A proprietary algorithm, incorporating machine learning principles, enhances data collection efficiency. Method. The synthesis reveals a dynamic landscape marked by the symbiotic relationship between AI and IoT, fortifying defenses against cyber threats. Machine learning emerges as a potent ally, providing robust solutions for threat detection. The study identifies challenges in implementing cybersecurity measures in the IoT landscape, including data privacy, scalability, and regulatory compliance. Results. In conclusion, the review emphasizes the need for proactive and adaptive security strategies in the IoT era, highlighting the role of AI and collaborative interdisciplinary approaches. The study provides a roadmap for future research, policy formulation, and industry practices to fortify the security posture of the IoT ecosystem. Conclusion. This study has comprehensive review of IoT cybersecurity illuminates a dynamic landscape marked by the symbiotic relationship between Artificial Intelligence (AI) and the Internet of Things (IoT). The integration of AI signifies a paradigm shift towards proactive and adaptive security strategies, enhancing the resilience of IoT ecosystems against evolving cyber threats.
Artificial Intelligence and Technological Evolution: A Comprehensive Analysis of Modern Challenges and Future Opportunities Ghulam Ali Amiri; Musawer Hakimi; Sayed Mohammad Kazim Rajaee; Mohammad Fawad Hussaini
Journal of Social Science Utilizing Technology Vol. 2 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i3.1265

Abstract

Background. The rapid evolution of AI and the associated technological developments have opened up society to new opportunities and challenges that were hitherto unexplored in many fields. The impact of AI extends to technological progress and influences industry practices, socio-cultural norms, and global economic landscapes. Purpose. The paper reviews how contemporary challenges and future opportunities for AI interlink with the more extensive process of technological evolution. The paper tries to illuminate how AI technologies can be powerful and influential in the face of transforming industries, societal norms, and the technical landscape, as well as highlighting the risks and challenges that these developments could give rise to. Method. This will be based on an in-depth review of all peer-reviewed journals, case studies, and industry reports relating to AI between 2019 and 2024. Some key trends identified from the analysis in AI implementation across major sectors, including healthcare, finance, and education, have been recognized. The review is done considering the ethical, regulatory, and technical issues surrounding AI as it seeks to integrate into society Results: AI has become one of the most powerful shapers of several sectors in terms of pushing both innovation and efficiency. At the same time, it also brings substantial challenges regarding data privacy, algorithmic bias, and robust regulatory frameworks with itself. The results therefore bring out this dual nature of AI as a driver of progress and a source of intricate ethical and technical dilemmas. Conclusion. Thus, the outcome of the study is that even though AI holds immense potential for positive societal impact, its integration has to be managed by strong strategies reducing risks and maximize benefits. Interdisciplinary collaboration and adaptive policies will indeed be necessary for negotiating the fast-changing landscape of artificial intelligence and for its responsible, beneficial use in the future.
Integrating Blockchain Technology for Secure E-Government Services: Opportunities and Challenges Musawer Hakimi; Khoshal Rahman Rahmani; Zakirullah Ezam; Hafizullah Shahbazi
Journal of Social Science Utilizing Technology Vol. 2 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

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

Abstract

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.
Co-Authors Abdul Rahman Mojadadi Abdul Wajid Fazil Adie Wahyudi Oktavia Gama Albaiti Albaiti Alex A. Lepa Amir Kror Shahidzay Ansarullah Hasas Behnaz Rahimi Desri Jumiarti Deya Harpina Dharma Gyta Sari Harahap Erwin Siregar Ezatullah Ahmady Farid Ahmad Darmel Ferry Irawan Gede Humaswara Prathama Ghulam Ali Amiri H. L. M. Mohideen Hafizullah Shahbazi Hafizullah Shahbazi Hamayoon Ghafory Helena Ulusi I Gusti Ngurah Darma Paramartha I Made Ardi Sudestra Kavita Arafah Khoshal Rahman Rahmani Mohammad Fawad Hussaini Mohammad Mustafa Quchi Mohammad Wali Khurami Muh. Rafi’y Muhammad Novan Prasetya Omid Tarashtwal Reva Selpia Safiullah Jalalzai Safrizal Safrizal Saidamin Sajid Salman Alparis Sormin Sayed Mohammad Kazim Rajaee Syamsul Bahri Tamanna Quraishi Yulia Anita Siregar Zakirullah Ezam