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p-Index From 2021 - 2026
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All Journal International Journal of Multidisciplinary Approach Research and Science Journal of International Accounting, Taxation and Information Systems
Sajid, Saidamin
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Immunology & microbiology Social Sciences

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Evaluating The Impact of E-Learning on Girl’s Education in Afghanistan: A Case study of Samangan University Hakimi, Musawer; Fazil, Abdul Wajid; Khaliqyar, Khudai Qul; Quchi, Mohammad Mustafa; Sajid, Saidamin
International Journal of Multidisciplinary Approach Research and Science Том 2 № 01 (2024): International Journal of Multidisciplinary Approach Research and Science
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/ijmars.v2i01.368

Abstract

This study delves into the impact of E-Learning on girls' education at Samangan University in Afghanistan, focusing on evaluating the efficacy of digital programs within the nation's intricate socio-cultural landscape. The research, encompassing responses from 106 female students through surveys, highlights the critical need for robust infrastructure, reliable internet access, and accessible devices to facilitate active participation in digital learning. Teacher training programs emerge as pivotal for the successful implementation of E-Learning. Factors such as learning support systems and the overall learning experience play significant roles in shaping student engagement and satisfaction. Despite these positive aspects, social barriers, notably gender discrimination, persist, impeding female students' access to and engagement in digital learning. In conclusion, the study suggests that E-Learning holds immense potential to broaden educational opportunities in Afghanistan. It emphasizes the necessity of substantial infrastructure investment, comprehensive teacher training, and addressing social inequalities to foster an inclusive learning environment. Policymakers and educational institutions can leverage these insights to formulate strategies ensuring equitable access to quality education for all female students at Samangan University. The research significantly contributes valuable guidance for prospective investigations and the development of E-Learning initiatives, emphasizing the transformative role of digital learning in advancing education in Afghanistan, particularly for female students.
Artificial Intelligence for Cybersecurity: A Comprehensive Analysis of Algorithms, Frameworks, and Real-World Applications Sajid, Saidamin; Ibrahimi, Eid Mohammad; Raoufi, Baryali
Journal of International Accounting, Taxation and Information Systems Vol. 2 No. 2 (2025): May
Publisher : CV. Proaksara Global Transeduka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70865/jiatis.v2i2.102

Abstract

The rapid rise in cyber threats has necessitated the integration of Artificial Intelligence (AI) to enhance cybersecurity strategies. This study aims to examine the effectiveness of AI algorithms in detecting and mitigating cyber threats, analyze AI-driven frameworks for cybersecurity operations, and assess real-world applications and challenges in deployment. A qualitative methodology was employed through a systematic literature review of 30 peer-reviewed articles published between 2021 and 2025, sourced from academic databases such as IEEE Xplore, ScienceDirect, Springer, and Wiley Online Library. Data extraction and screening were guided by the PRISMA protocol to ensure the inclusion of high-quality, relevant studies. Results indicate that AI techniques such as neural networks, support vector machines, and deep learning are highly effective in identifying anomalies, detecting intrusions, and analyzing malware. Furthermore, AI-based cybersecurity architectures are increasingly adaptive, scalable, and integrated with real-time response systems. However, challenges remain in model explainability, data privacy, and adversarial attacks.The study concludes that while AI significantly improves cybersecurity capabilities, its deployment must be guided by ethical, legal, and operational considerations. Future research should focus on improving model transparency and developing adaptive defense mechanisms.
Co-Authors Fazil, Abdul Wajid Hakimi, Musawer Ibrahimi, Eid Mohammad Khaliqyar, Khudai Qul Quchi, Mohammad Mustafa Raoufi, Baryali