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All Journal Journal of Education and Teaching Learning Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi International Journal Software Engineering and Computer Science (IJSECS) International Journal on Advanced Technology, Engineering, and Information System (IJATEIS) Journal of Artificial Intelligence and Digital Business Room of Civil Society Development International Journal of Multidisciplinary Approach Research and Science Jurnal Riset Multidisiplin dan Inovasi Teknologi Journal of Community Service and Society Empowerment Journal of Social Science Utilizing Technology Journal of Social Science Utilizing Technology EDUTREND: Journal of Emerging Issues and Trends in Education Room of Civil Social Development
Fazil, Abdul Wajid
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences 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 Hakimi, Musawer; Quchi, Mohammad Mustafa; Hasas, Ansarullah; Fazil, Abdul Wajid
Journal of Social Science Utilizing Technology Vol. 2 No. 1 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

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.
The Role of Statistical Methods in Enhancing Artificial Intelligence: Techniques and Applications Fazil, Abdul Wajid; Kohistani, Jaamay; Rahmani, Bilal
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1608

Abstract

Background. The undeniable infiltration of artificial intelligence into numerous career fields underlines statistical methods as an important tool in optimizing accurate results from AI. Therefore, the simulation of sound statistical practices is, therefore, unavoidable in healthcare, finance, and environmental sciences for such purposes as model validation performance improvement and uncertainty analysis, among other reasons. Purpose. The purpose of this proposal is to collaboratively analyze the role of statistical methods, like regression, Bayesian inference, Fi-Parsing, etc., in optimizing AI. Some examples will further aid in reinforcing the moment of reliability and firmness of any AI application. Method. A full systematic literature review (SLR) was conducted that analyzed scholarly publication articles from 2019 to early 2024 in reputed databases such as Springer, MDPI, ScienceDirect, and Wiley. The focus of the review is on the application of statistical techniques on the AI systems for improved performance and decision-making reliability. Results. The findings show that statistical methods highly recommend their role in AI model validation uncertainty representation, prediction, and optimal performance enhancement. The evidence for improved performance in critical areas such as healthcare, finance, and environmental science creates great hurdles for high-stakes decision-making. Conclusion. The study upholds the fundamentally critical role that statistical methods occupy and their role in AI development towards future pursuits of research and practical work. A clear-cut pathway to institutionalizing these methods in AI technology is proposed as a guarantee of its reliability and sustainability in diverse applications.
Co-Authors Ahmady, Ezatullah Amiri, Frishta Aslamzai, Sebghatullah Enayat, Wahidullah Ezam, Zakirullah Ghafori, Agha Mohammad Ghafory, Hamayoon Habibi, Habibrahman Hakimi, Abdurrahman Hakimi, Faiz Mohammad Hakimi, Musawer Hakimi, Samer Hamidi, Shir Ahmad Hasas, Ansarullah I Wayan Aditya Suranata Katebzadah, Shairagha Khaliqyar, Khudai Qul Kohistani, Ahmad Jaamay Kohistani, Jaamay Mohammadi, Mohammad Qias Musawi, Sayed Zabihullah Najieb, Khairullah Nasrat, Abdulfatah Qarizada, Abdulkhaliq Quchi, Mohammad Mustafa Quraishi, Tamana Quraishi, Tamanna Rahmani, Bilal Rahmani, Khoshal Rahman Sajid, Saidamin Samadzai, Abdul Wahid Shahidzay, Amir Kror Turan, Mohammad Nawab