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All Journal Al-Hijr: Journal of Adulearn World Journal International Inspire Education Technology (JIIET) World Psychology Journal International Dakwah and Communication Journal of Moeslim Research Technik Journal of Selvicoltura Asean Research Psychologie, Orientation et Conseil Journal of Loomingulisus ja Innovatsioon Research of Scientia Naturalis Journal of Social Entrepreneurship and Creative Technology Journal of Humanities Research Sustainability Journal Markcount Finance Sharia Oikonomia Law Journal International Journal of Educational Narratives Journal of Social Science Utilizing Technology
Syafiq Amir
Universiti Kebangsaan
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Physics Social Sciences Other

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Journal : journal of social science utilizing technology

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Bridging the Digital Divide: A Study on the Challenges of E-Learning Implementation in Rural and Remote Schools in Indonesia I Wayan Rediyasa; Syafiq Amir; Zandra Flowers
Journal of Social Science Utilizing Technology Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i3.2833

Abstract

Background. The digital divide remains a significant challenge in the context of education in Indonesia, especially in rural and remote areas. While urban schools have increasingly adopted e-learning platforms, many rural schools continue to struggle with limited access to digital resources, inadequate infrastructure, and a lack of digital literacy among both students and teachers. Purpose. This study aims to investigate the challenges faced by rural and remote schools in Indonesia in implementing e-learning and to propose potential solutions to bridge the digital divide. Method. The research utilizes a mixed-methods approach, combining surveys, interviews, and field observations. Data were collected from 15 rural schools across different provinces, involving 300 teachers and 500 students. The quantitative data were analyzed using descriptive statistics, while qualitative data were analyzed through thematic coding. The study identifies key challenges, including unreliable internet connectivity, lack of appropriate devices, low levels of digital literacy, and inadequate teacher training. Results. The results highlight that while there is a strong desire to integrate e-learning, the lack of infrastructure and support systems significantly hinders its effectiveness. Despite these challenges, there are instances of innovative solutions, such as community-based internet sharing and local training programs, that have improved the adoption of e-learning in some areas. Conclusion. The study concludes that bridging the digital divide in rural and remote schools in Indonesia requires a comprehensive approach, including infrastructure development, teacher training, and community involvement. Government policies should prioritize equitable access to digital resources to ensure inclusive education for all.
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.
Architecting Technological Resilience: Evaluating the Impact of Legacy System Modernization on Organizational Agility in the Age of Generative AI Azzuan Azzuan; Zubaidi Budi Hartanto; Moh. Qomar Syarifuddin; Ahmad Faisol; Syafiq Amir
Journal of Social Science Utilizing Technology Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i2.3680

Abstract

Background. Organizations are under immense pressure to modernize legacy systems to stay competitive in a fast-changing tech landscape. While Generative AI is recognized as a key driver for productivity and innovation, the specific link between upgrading old systems and achieving organizational agility in the AI era remains largely underexplored. Purpose. This study aims to evaluate how legacy system modernization impacts organizational agility within the context of Generative AI integration. It seeks to understand if these technical upgrades serve as a strategic foundation for fostering adaptability and long-term resilience. Method. The research utilized a mixed-methods approach, combining quantitative surveys and qualitative interviews. Data was gathered from key stakeholders across 30 organizations that have successfully completed the modernization of their legacy infrastructures. Results. The findings show significant improvements in decision-making speed, market responsiveness, and operational flexibility. The study highlights that modernization is a critical enabler for faster Generative AI adoption, which directly enhances an organization's overall agility. Conclusion. Modernizing legacy systems is a strategic investment rather than a mere technical necessity. It builds technological resilience and provides a vital framework for AI integration, offering organizations a pathway to sustained competitive advantage and better adaptability.
Co-Authors Achmad Nashrul Waahib Ahmad Faisol Aiman Fariq Akbar Syaiful Luneto Amin Zaki Antoni Pribadi Arten Mobonggi Azzuan Azzuan Dame Siregar Erwin Erwin Faisal Razak Haziq Idris I Wayan Rediyasa Iwan Ady Prabowo Joseph Tumusiime Khoironi Fanana Akbar Kusnadi Kusnadi Liam Wilson Masud Muhammadiah Miftahuddin Miftahuddin Moh. Qomar Syarifuddin Muhammad Ilyas Marwal Mujahid Damopolii Mujawaroh Annafi Mukhlis Mukhlis Nurhayati Nurhayati Nurul Huda Nyak Mustakim Rashid Rahman Rimba Krisnha Sukma Rina Farah Saiful Fallah Teboho Maseko Thabo Mokoena Titiek Deasy Saptaryani Wulandari Sungkowo Tri Putri Zain Nizam Zandra Flowers Zubaidi Budi Hartanto Zulkarnain Dama