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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.
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Articles 7 Documents
 1 
Search results for , issue "vol. 4 no. 1 (2026)" : 7 Documents clear
Platform Capitalism and Its Discontents: Labor Precarity and Resistance Strategies among Ride-Hailing Drivers in Indonesia Patricia González; Jorge García; Andrea Vargas
Journal of Social Science Utilizing Technology Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i1.2905

Abstract

Background. This research examines the phenomenon of platform capitalism and its implications on labor precarity, focusing on ride-hailing drivers in Indonesia. The rise of digital platforms has revolutionized labor markets worldwide, yet it has also exacerbated the precariousness of work, especially in the gig economy. This study investigates how ride-hailing drivers navigate the challenges posed by platform capitalism, particularly concerning their labor rights, income security, and work conditions. Purpose. The research aims to explore the strategies of resistance employed by drivers to combat exploitation and negotiate for better working conditions. Method. The study employs a qualitative research design, utilizing in-depth interviews with ride-hailing drivers in major Indonesian cities to collect empirical data. Results. The findings reveal that while drivers experience significant labor precarity, including low pay, irregular work hours, and lack of social security, they actively resist through collective actions, advocacy for regulation, and negotiation with platforms. These resistance strategies reflect an emerging form of labor activism in the digital economy. Conclusion. The study concludes that despite the challenges of platform capitalism, there is potential for drivers to foster solidarity and advocate for structural reforms that address labor exploitation within the gig economy.
The Illusion of Control: User Perceptions of Privacy and Data Agency on Social Media Platforms After GDPR Kabelo Dube; Kgomotso Seretse; Keaolwe Matlhomola
Journal of Social Science Utilizing Technology Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i1.2908

Abstract

Background. The General Data Protection Regulation (GDPR), implemented in 2018, aimed to enhance user privacy and give individuals more control over their personal data on social media platforms. However, despite these regulatory changes, concerns about data privacy and user agency persist. This study explores how users perceive their privacy and data control on social media platforms post-GDPR, focusing on whether the regulation has led to a genuine increase in user agency or if it remains an illusion. Purpose. The research aims to assess the gap between perceived and actual control over personal data, as well as the factors that influence these perceptions. Method. Using a mixed-methods approach, the study combines surveys and in-depth interviews with social media users across various platforms. Results. The findings reveal that while users feel more empowered by the GDPR’s transparency requirements, many still feel limited in their ability to effectively control their data. Privacy settings remain confusing, and the complexity of consent mechanisms leaves users uncertain about the full extent of their data usage. Conclusion. The study concludes that, while GDPR has improved transparency, it has not fully addressed the underlying issues of user agency, suggesting the need for further regulatory refinement to provide users with meaningful control over their data.
Regulating the Black Box: A Comparative Policy Analysis of National Strategies for Governing Artificial Intelligence and Upholding Human Rights Kouadio Koffi; Olivier Sossou; Aminatou Agounke
Journal of Social Science Utilizing Technology Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i1.2909

Abstract

Background. The rapid development of artificial intelligence (AI) has raised significant concerns regarding its potential impacts on human rights, ethics, and governance. While AI promises advancements in efficiency and innovation, its opaque decision-making processes, often referred to as the "black box" problem, create challenges for regulators aiming to ensure transparency, fairness, and accountability. This study conducts a comparative policy analysis of national strategies for governing AI, with a particular focus on how different countries address human rights concerns within their AI regulatory frameworks. Purpose. The research aims to identify the strengths and weaknesses of existing AI governance models and propose best practices for integrating human rights principles into AI regulation. Method. Using a qualitative approach, this study analyzes AI policies from the European Union, the United States, China, and India. Results. The findings reveal significant variations in the approach to regulating AI, with the EU emphasizing transparency and ethical guidelines, while countries like China prioritize state control and surveillance. Conclusion. The study concludes that a balanced approach, which incorporates human rights safeguards alongside technological innovation, is crucial for the responsible development and deployment of AI. The paper recommends stronger international cooperation and the establishment of a global framework for AI governance.
Technostress and Personnel Flourishing: A Longitudinal Study on the Impact of AI-Driven Monitoring on Psychological Well-being Mukhlis Mukhlis; Syafiq Amir; Haziq Idris
Journal of Social Science Utilizing Technology Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i1.3427

Abstract

The rapid integration of artificial intelligence (AI)–driven monitoring systems in contemporary workplaces has transformed performance management practices and intensified digital supervision. While such systems promise efficiency and data-driven decision-making, concerns have emerged regarding their psychological consequences. Technostress theory suggests that continuous technological exposure may generate strain, yet limited longitudinal evidence exists on how AI-based monitoring influences personnel flourishing over time. This study aims to examine the dynamic relationship between AI-driven monitoring intensity, technostress dimensions, and psychological well-being using a longitudinal framework. A three-wave panel design was implemented with full-time employees working in organizations utilizing AI-based performance analytics. Data were collected at four-month intervals and analyzed using cross-lagged structural equation modeling to assess causal pathways and moderating effects. Measures included monitoring intensity, technostress dimensions, flourishing indicators, perceived organizational support, and digital literacy. Results indicate that AI-driven monitoring significantly predicts increased technostress, particularly techno-invasion and techno-overload, which subsequently reduce personnel flourishing across time. Technostress mediates the relationship between monitoring and well-being, while organizational support buffers negative effects. Partial adaptation was observed but did not fully restore flourishing levels. The findings underscore the importance of human-centered AI governance to sustain psychological well-being in digitally monitored workplaces.
Gamification in Higher Education: Enhancing Student Motivation and Cognitive Outcomes Through Game-Based Learning Andres Villanueva; Dina Destari; Dodi Setiawan Riatmaja
Journal of Social Science Utilizing Technology Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i1.3429

Abstract

The increasing demand for active, engaging, and meaningful learning in higher education has encouraged the adoption of innovative instructional strategies such as gamification. Traditional teaching approaches often struggle to sustain student motivation and to promote higher-order cognitive outcomes, particularly in digitally mediated learning environments. This study aims to examine the role of gamification in higher education by analyzing its effectiveness in enhancing student motivation and cognitive outcomes through game-based learning. A quantitative quasi-experimental research design was employed, involving undergraduate students divided into experimental and control groups. Data were collected using validated motivation questionnaires and cognitive achievement tests aligned with course learning objectives, and were analyzed using descriptive and inferential statistical techniques. The results demonstrate that students exposed to gamified learning environments show significantly higher levels of intrinsic motivation, engagement, and persistence compared to those in non-gamified settings. In addition, gamification was found to have a positive and significant effect on cognitive outcomes, particularly in comprehension, application, and problem-solving skills. These findings indicate that gamification contributes not only to affective engagement but also to meaningful cognitive development. In conclusion, the study confirms that well-designed gamification can function as an effective pedagogical approach in higher education, supporting both motivational and cognitive dimensions of learning when aligned with instructional goals.
Energy Efficiency Analysis of 3D Printing Machines (Additive Manufacturing) in Supporting Local MSMEs: Poverty Alleviation Opportunities in the Digital Era Anton Nugroho; Wawan Kusdiana
Journal of Social Science Utilizing Technology Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i1.3505

Abstract

Background. The rapid development of additive manufacturing, particularly 3D printing technology, has created new opportunities for small and medium enterprises (SMEs) to engage in flexible and low-volume production within the digital economy. Energy efficiency has become a critical factor influencing the operational feasibility of this technology, especially for SMEs that operate with limited financial resources and infrastructure. Understanding the energy performance of 3D printing machines is therefore essential for evaluating their potential role in supporting sustainable entrepreneurship and poverty alleviation. Purpose. This study aims to analyze the energy efficiency of 3D printing machines in additive manufacturing processes and examine their potential contribution to strengthening local SMEs and expanding economic opportunities in the digital era. Method. The research employs a quantitative experimental design combined with descriptive analysis. Energy consumption data were collected using digital power meters during standardized printing experiments involving several desktop 3D printers commonly used by SMEs. Statistical analysis was conducted to compare machine efficiency and evaluate the relationship between printing parameters and electricity consumption. Results. The findings indicate significant differences in energy consumption across machine types and printing configurations. Optimized parameter settings and efficient machine architecture reduce electricity usage and operational costs. Evidence from SME production contexts demonstrates that energy-efficient additive manufacturing supports faster prototyping and flexible small-scale production. Conclusion. Energy-efficient 3D printing technology represents a promising tool for strengthening SME productivity and fostering inclusive economic development in the digital era.
The Echo Chamber Effect: Social Media Algorithms and the Polarization of Political Discourse Arisman Sabir; Siri Lek; Prasojo Prasojo
Journal of Social Science Utilizing Technology Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i1.3573

Abstract

Background. The rapid expansion of social media has transformed political communication by introducing algorithmically curated information environments that shape users’ exposure to content. Concerns have emerged regarding the echo chamber effect, where individuals are predominantly exposed to ideologically aligned information, potentially intensifying political polarization and limiting deliberative discourse. Purpose. The present study aims to examine the extent to which social media algorithms contribute to the formation of echo chambers and to assess their influence on patterns of political engagement and perception. Method. A mixed-methods research design was employed, combining quantitative network analysis and survey data from 300 participants with qualitative interviews and computational analysis of platform interactions. Results. The findings indicate that algorithmic filtering significantly reinforces exposure to homogeneous content, leading to increased ideological clustering and higher levels of perceived polarization. Evidence further suggests that user attempts to diversify information sources are constrained by persistent algorithmic personalization. Conclusion. The study concludes that the echo chamber effect is a socio-technical phenomenon driven by the interaction between user behavior and algorithmic systems, with significant implications for democratic communication.

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