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Journal of Social Science Utilizing Technology
Published by Yayasan Adra Karima Hubbi
ISSN : 30265959     EISSN : 3026605X     DOI : 10.70177/jssut
Core Subject :
Journal of Social Science Utilizing Technology focused on new research addressing Information, Management, Educational Technology, eLearning, Media Management, Human Resources, Fine and Applied Arts, Humanities Social Sciences, General and CrossDisciplinary and Communications Technologies as Applied to the Digital Worlds of Business, Government and Non-Governmental Enterprises. The Journal publishes work from all disciplinary, theoretical and methodological perspectives. It is designed to be read by researchers, scholars, teachers and advanced students in the fields of Information Systems, Management and Information Science, as well as information technology developers, consultants, software vendors, and senior business and information technology executives seeking an update on current experience and future prospects in relation to contemporary information and communications technologies.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "vol. 3 no. 2 (2025)" : 5 Documents clear
The Future of Privacy in a Connected World: A Socio-Economic Analysis Loso Judijanto; Sogi Berani; Ahmya Ayaka
Journal of Social Science Utilizing Technology Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i2.2118

Abstract

Background. In an increasingly connected world, where data flows seamlessly across digital platforms and devices, the concept of privacy has become more complex and contested. The rise of big data, the Internet of Things (IoT), and artificial intelligence has dramatically altered how personal information is collected, stored, and used. While these technological advancements offer convenience and economic value, they also pose significant risks to individual privacy and raise socio-economic concerns related to surveillance, digital inequality, and data governance. Purpose. This study aims to analyze the future of privacy from a socio-economic perspective by exploring how privacy concerns vary across different income, education, and demographic groups. The research investigates both individual perceptions and institutional practices regarding data protection in the digital age. Method. Using a mixed-methods approach, the study combines a survey of 500 participants from diverse socio-economic backgrounds with in-depth interviews of policymakers, technologists, and privacy advocates. Quantitative data were analyzed using regression models to identify key predictors of privacy concern, while qualitative data were examined thematically to uncover broader social patterns. Results. Findings reveal that lower-income groups often have less access to privacy tools and are more vulnerable to data exploitation. Education level significantly correlates with privacy awareness, and trust in institutions varies widely. The study highlights a growing privacy gap between socio-economic classes, with policy frameworks struggling to keep pace with technological change. Conclusion. The study concludes that equitable privacy protection requires inclusive digital literacy initiatives, transparent regulatory systems, and stronger accountability mechanisms in data-driven environments.
Climate Change and Global Inequality: A Social Study of Climate Migration Nofirman Nofirman; Iriana Bakti; Luis Santos; Momena Sultana
Journal of Social Science Utilizing Technology Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i2.2120

Abstract

Background. Climate change is no longer a distant environmental issue but a present and intensifying force driving social and economic displacement across the globe. Vulnerable populations, particularly in the Global South, face disproportionate impacts in the form of rising sea levels, extreme weather events, and resource scarcity, often leading to forced migration. These dynamics underscore the intersection between climate change and global inequality, raising urgent questions about justice, adaptation, and human mobility. Purpose. This study aims to explore the social dimensions of climate-induced migration, focusing on how environmental stressors exacerbate existing inequalities and shape patterns of displacement. The research also investigates the role of governance, infrastructure, and international aid in either mitigating or perpetuating migration-related vulnerabilities. Method. A qualitative-dominant mixed-methods approach was employed, including ethnographic fieldwork in two climate-affected regions, semi-structured interviews with 30 climate migrants, and analysis of secondary data from international climate and migration databases. Data were thematically analyzed to uncover recurring patterns and socio-political contexts surrounding climate mobility. Results. Findings reveal that climate migration is not solely an environmental issue but deeply intertwined with poverty, weak governance, and limited access to resources. Migrants often face legal ambiguity, social exclusion, and economic instability in host regions. The study highlights a growing need for inclusive climate adaptation policies that address both environmental and social dimensions. Conclusion. The study concludes that addressing climate migration requires integrated strategies that bridge environmental sustainability, social equity, and human rights protections to ensure just and humane responses to climate-induced displacement.
Contextual Learning Strategies in Improving Students Understanding of Islamic Values Amril Huda M; Andra Andra; Krim Ulwi
Journal of Social Science Utilizing Technology Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i2.2275

Abstract

Background. Contextual Teaching and Learning strategies are an effective approach to improve students" understanding of Islamic values by relating the subject matter to real situations that are relevant to daily life. Purpose. This study aims to analyze the influence of contextual learning strategies in strengthening students" understanding of Islamic teachings. Method. The method used is a qualitative-based literature study with data tracing from scientific journals, books, and recent research reports. Results. The results of the analysis show that contextual learning is able to increase students" active engagement, strengthen their understanding of Islamic values, and motivate the application of these teachings in real life. In addition, the role of teachers as creative and innovative facilitators is the key to the successful implementation of this strategy. The implications of this study confirm the importance of integrating Islamic values and experiential learning strategies to create a meaningful and holistic educational process. Conclusion. Contextual learning strategies are effective in instilling Islamic values in an applicative and meaningful manner. This approach encourages student engagement and 21st century skill development. Its success requires the support of teachers, schools, and synergistic policies.
AI-Powered Governance: Exploring the Role of Artificial Intelligence in Shaping Public Service Innovation Ngr. Putu Raka Novandra Asta; Vinto Rizalfi; Sun Wei
Journal of Social Science Utilizing Technology Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i2.2288

Abstract

Background. The rapid advancement of Artificial Intelligence (AI) has significantly transformed various sectors, including public governance. In the face of increasing demands for efficiency, transparency, and citizen-centric services, governments around the world are turning to AI to reimagine the structure and delivery of public services. Purpose. This research explores how AI technologies are being integrated into public governance systems to drive innovation, enhance administrative performance, and foster participatory governance. The objective of this study is to analyze the extent to which AI-powered tools contribute to the modernization of public service delivery and to identify the challenges and ethical considerations arising from this transformation. Method. This study employs a qualitative research approach using a systematic literature review method. A comprehensive analysis of academic articles, policy reports, and case studies was conducted, focusing on AI applications in public service innovation across multiple countries. Results. The results reveal that AI has played a pivotal role in automating administrative tasks, improving data-driven decision-making, and enabling predictive services. However, the implementation of AI also introduces concerns regarding algorithmic transparency, data privacy, and accountability. Conclusion. The study concludes that while AI holds immense potential to reshape public governance and stimulate service innovation, its success depends on the alignment of technological capabilities with inclusive policy frameworks and ethical standards. Future governance models must prioritize human oversight, regulatory compliance, and equitable access to ensure sustainable innovation.
Blockchain for Social Trust: Rebuilding Transparency in Public Sector Transactions through DLT I Putu Astawa; Rachmat Prasetio; Sofia Lim
Journal of Social Science Utilizing Technology Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i2.2290

Abstract

Background. The erosion of public trust in government institutions has become a critical global concern, driven largely by persistent issues of corruption, inefficiency, and opaque administrative processes. Amid this trust deficit, blockchain technology—especially Distributed Ledger Technology (DLT)—has emerged as a promising tool to rebuild transparency, accountability, and citizen engagement in the public sector. Purpose. This study aims to examine how blockchain can be strategically implemented to restore social trust by enhancing transparency in public sector transactions. Method. This study uses a qualitative method supported by several case studies, this study analyzes the initiative of real world blockchain adoption in countries such as Estonia, the United Arab Emirates, and Indonesia. Data was collected through analysis of policy documents, expert interviews, and comparative evaluation of the DLT -based public administration framework. Results. The findings indicate that blockchain’s immutable and decentralized architecture significantly mitigates information asymmetry, reduces opportunities for fraud, and enables real-time auditing of government activities. Moreover, smart contract integration allows for automatic enforcement of public service agreements, further reinforcing institutional integrity. However, the study also highlights critical challenges such as legal uncertainties, technological literacy gaps, and resistance to institutional change that may hinder effective implementation. Conclusion. In conclusion, while blockchain is not a panacea for all governance issues, it presents a powerful foundation for restoring social trust when embedded within a broader ecosystem of legal reform, digital literacy, and civic participation. This research contributes to the growing discourse on digital governance by offering a conceptual and empirical basis for blockchain-enabled transparency in the public sector.

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