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Journal of Science, Technology, and Social Innovation
Published by CV Media Inti Teknologi
ISSN : -     EISSN : 3124260X     DOI : https://doi.org/10.58723/jstsi.v1i1.34
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The Journal of Science, Technology, and Social Innovation welcomes submissions in, but not limited to, the following areas: Science- and technology-driven social innovation Digital transformation and societal impact Artificial Intelligence, Big Data, and Society Social innovation in education, health, and community welfare Smart society, smart cities, and community-based technologies Inclusive and assistive technologies for social equity and accessibility Science, technology, and innovation policy Technopreneurship and socio-economic innovation Ethical, legal, and social implications of emerging technologies Integration of local wisdom with scientific and technological innovation
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Articles 10 Documents
 1 
Bibliometric Analysis of the Use of Virtual Reality Technology in Physics Education: Focus on the Kuula Platform to Improve Understanding of Particle Motion Dynamics Material Putri Wiji Rahayu; Eko Risdianto; Andik Purwanto
Journal of Science, Technology, and Social Innovation Vol. 1 No. 1 (2025): Journal of Science, Technology, and Social Innovation
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jstsi.v1i1.30

Abstract

ABSTRACT Background of study: Physics, particularly the topic of Particle Motion Dynamics, is often considered difficult by students due to its abstract nature, which requires deep visual understanding and complex mathematical applications. VR technology can offer a solution by creating immersive and interactive learning experiences, which are expected to strengthen students' understanding of these concepts Aims and scope of paper: This research aims to analyze the use of Virtual Reality (VR) technology in physics learning, focusing on the utilization of the Kuula platform to enhance the understanding of the concept of Particle Motion Dynamics in 11th-grade high school students. Methods: In this study, a bibliometric analysis was conducted to explore literature trends related to the use of VR in physics education, by examining articles related to the Kuula platform and particle motion dynamics through Scopus data (2020–2025). Result: The analysis results show that although the use of VR in education has been widely implemented, the utilization of the Kuula platform, particularly in teaching abstract physics, is still limited. Furthermore, this research identifies the main challenges in adopting VR technology, including educator resistance and existing resource limitations. Conclusion: Overall, these findings underscore the importance of innovation in physics education through VR technology to enhance students' conceptual understanding, and suggest the need for further research to optimize the implementation of Kuula-based VR in the educational curriculum.  
Loss of childhood, Deprivation of love: A Psychoanalytic study of The God Of Small Things Salvia Islam; Sara Sethi; Nasir Muhammad
Journal of Science, Technology, and Social Innovation Vol. 1 No. 1 (2025): Journal of Science, Technology, and Social Innovation
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jstsi.v1i1.34

Abstract

ABSTRACT Background of study: This paper explores the psychological impact of the childhood trauma and loss of love in Arundhati Roy in The God of Small Things (1997). Using the psychoanalytic paradigm by Sigmund Freud (1923), it is observed that the fragmented childhood of the twins Estha and Rahel where they endure neglect, abuse, and repression greatly influence their developmental trajectories and their adult identity. Aims and scope of paper: The deep silence of Estha, caused by molestation and the feeling of guilt when Velutha died, is an example of the hidden defense mechanism and repression, but the indifference of the emotions of Rahel is an example of the permanent scarring of loss.  The study also indicates that violence, parental apathy, and discrimination by society trigger depression, neurosis, and post-traumatic stress disorder and leaves the characters in a time loop.  Although the context of literature has explored the class struggle, cultural feminism, sexism and gender discrimination, this exploration prefigures the psychoanalytic aspects of repressed trauma and the ensuing psychoanalytic sequela. Methods: A qualitative descriptive approach was used, and a close textual analysis of the novel to explain the psychological torments of the characters. Result: The research shows that the loss of the naivety of childhood, supported by patriarchal ideals and cultural limitations, has long lasting effects on identity development, emotional health, and patterns of relationships in the adult stage. Conclusion: To sum up, The God of Small Things is not just a socio-political commentary but a substantive psychological analysis of the development of humans blocked by the effects of trauma, guilt, and repression. The research highlights the need to be more aware and cautiously interacted to limit childhood trauma and forestall the psychological sequela throughout life.
Assessment of the Economic Benefits of Smart City Initiatives Jamiu Adeniyi Yusuf; Abdullahi Taiwo Abdulrazaq
Journal of Science, Technology, and Social Innovation Vol. 1 No. 1 (2025): Journal of Science, Technology, and Social Innovation
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jstsi.v1i1.35

Abstract

ABSTRACT Background of study: This article looked into the economic benefits of smart city initiatives, with a focus on how these projects contribute to economic development through job creation, cost savings, and foreign investment attraction. Aims and scope of paper: The study highlights key factors that drive economic success, such as smart energy management and governance, while also addressing the challenges faced by developing regions, including funding constraints and skills shortages. Comparative analysis emphasizes regional differences but confirms that economic benefits can be realized across diverse urban settings. The study contributes to the broader scope of smart city research by providing an extensive view that includes less-studied regions and integrating multidimensional economic impacts. Methods: Utilizing both qualitative and quantitative methods, the research explores patterns and relationships between smart city initiatives and economic indicators across various contexts, including African cities with the aid of regression and thematic analysis. Result: Findings reveal that smart city projects lead to significant economic gains by enhancing efficiency, creating job opportunities, and drawing foreign direct investment (FDI). Conclusion: However, limitations such as data consistency and the focus on specific economic indicators are noted. The research concludes with recommendations for urban planners and policymakers to implement inclusive strategies that increase the economic benefits of smart city projects and support sustainable development.
Linguistic and Literary Text-mining of Tanure Ojaide and Niyi Osundare's Poetry: A Stylistic Approach Mudashir Ayinla Umar; Jibola Kaosara Busari
Journal of Science, Technology, and Social Innovation Vol. 1 No. 1 (2025): Journal of Science, Technology, and Social Innovation
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jstsi.v1i1.42

Abstract

Background of study: It is a peremptory call to explore the realm of Digital Humanities by using digital tools and methods to analyse and extract insights from large collections of poetic texts, revealing patterns, themes, and stylistic features that may not be apparent through traditional close reading. Aims and scope of paper: This paper utilizes computational text-mining and linguistic analysis to investigate the stylistic and thematic elements in two Nigerian poetry collections: Tanure Ojaide's The Tale of the Harmattan and Niyi Osundare's The Word is an Egg. Methods: Being qualitative research, with quantitative embedment, that seeks the commonness and frequency of themes such as social justice, cultural identity and folkloric attachment to the poetry works, simple random sampling technique was employed to select the data for analysis. Result: Afterwards, it was revealed that both collections employ distinctive imagery and metaphor to critique power structures and promote social justice, exploring themes such as identity, culture, and social justice. The findings further demonstrate the effectiveness of computational text-mining in uncovering patterns and trends in poetry collections, offering new insights into literary analysis. Conclusion: Consequently, this study advances that the understanding and application of digital humanities in literary research provides fresh perspectives on Nigerian poetry.
Artificial Intelligence in Teaching EFL Reading: A Literature Review of Trends, Pedagogical Approaches, and Future Directions (2019–2025) Yupika Maryansyah; Agus Riyanto; Muhammad Parli
Journal of Science, Technology, and Social Innovation Vol. 1 No. 1 (2025): Journal of Science, Technology, and Social Innovation
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jstsi.v1i1.44

Abstract

ABSTRACT Background of study: The rapid growth of artificial intelligence (AI) has had a substantial impact on English as a Foreign Language (EFL) teaching, particularly reading instruction. In recent years, AI-based tools such as generative AI models, adaptive reading platforms, and automated feedback systems have been increasingly used in EFL courses to improve students' understanding, engagement, and motivation. Aims and scope of paper: The purpose of the study is to investigate the function of AI in aiding EFL reading teaching by conducting a complete systematic literature evaluation of empirical studies published between 2020 and 2025 in Scopus- and Sinta-indexed publications. Methods: The review compiles findings from fourteen peer-reviewed studies that examine the effectiveness, problems, and pedagogical implications of AI-assisted EFL reading instruction. Result: The study found that AI technologies improved learners' reading proficiency by delivering tailored learning paths, quick feedback, and interactive reading experiences. Furthermore, AI encourages learner autonomy, alleviates reading anxiety, and improves metacognitive awareness. However, some studies have identified problems, such as an overreliance on AI-generated content, ethical concerns about data privacy, and a lack of contextual sensitivity in EFL reading materials. Conclusion: In conclusion, while AI presents significant prospects for improving EFL reading pedagogy, it must be integrated critically and ethically into human-centered learning frameworks. The findings highlight the importance of teacher training, curricular alignment, and further empirical study into AI's long-term effects on reading comprehension and literacy development. This work adds to the expanding body of research calling for pedagogically sound and culturally appropriate AI applications in EFL education.
- Integrating Sustainable Media and HCI in Online Learning: Evidence from a Systematic Literature Review Sri Anggraini; Wersi Handayani
Journal of Science, Technology, and Social Innovation Vol. 2 No. 1 (2026): Journal of Science, Technology, and Social Innovation
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jstsi.v2i1.109

Abstract

Background: The rapid transformation of digital education requires a deeper understanding of the relationship between digital learning media design, Human-Computer Interaction (HCI), and sustainability principles in supporting effective and long-term online learning implementation. Previous studies have often investigated these aspects separately, resulting in limited integration of technological, pedagogical, and sustainability perspectives. Aims: This study aims to identify, analyze, and synthesize the relationship between digital learning media design, HCI dimensions, and the sustainability of online learning implementation through an integrated conceptual framework based on existing evidence. Methods: This study employed a Systematic Literature Review (SLR) following the PRISMA. Literature searches were conducted using the Scopus database for publications from 2016 to 2026. The identification process generated 365, including 356. After removing duplicates and irrelevant records, 353 articles underwent screening. Based on title, abstract, and full-text eligibility assessments, 140 studies were included as the final articles analyzed. Data analysis involved metadata cleaning using OpenRefine, bibliometric analysis using Biblioshiny (RStudio) and VOSviewer, and evidence synthesis supported by Elicit AI. Results: The findings show that integrating sustainable digital learning media with HCI principles enhances learning outcomes, motivation, engagement, and user experience. Usability, accessibility, and UX quality are key factors influencing technology acceptance and continued use. Institutional support, educator competencies, infrastructure readiness, and inclusive access also contribute to sustainable implementation. Conclusion: This study develops an integrated framework connecting sustainable digital learning media, HCI, and online learning sustainability. The findings emphasize that successful educational technology adoption requires alignment between user-centered design, technological quality, and organizational support.
Sustainability Sustainability in Digital Education Systems: A PRISMA Systematic Review of Online Learning Innovations Adelia Utari; Yeliza
Journal of Science, Technology, and Social Innovation Vol. 2 No. 1 (2026): Journal of Science, Technology, and Social Innovation
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jstsi.v2i1.111

Abstract

Purpose of the study: This study aims to map global research trends on sustainability in digital education systems and identify major themes, collaboration patterns, methodological characteristics, and future research directions related to Sustainable Development Goal 4 (SDG 4). Methodology: A PRISMA-based Systematic Literature Review (SLR) combined with bibliometric analysis was conducted. Bibliographic data were retrieved from the Scopus database covering publications from 2016 to 2026. Bibliometrix/Biblioshiny and VOSviewer software were used for data analysis, including thematic mapping, collaboration analysis, and research trend identification. Main Findings: The findings show increasing publications after 2019, with sustainability, digital transformation, innovation, artificial intelligence, and SDG 4 as dominant themes. Technology integration, learning effectiveness, user readiness, and implementation challenges were the main research focuses. Systematic reviews were the most frequently used research design, while empirical validation, longitudinal studies, and policy-oriented research remain important future directions. Novelty/Originality of this study: This study provides a comprehensive integration of bibliometric analysis and PRISMA-based systematic review to reveal the intellectual structure, thematic evolution, methodological characteristics, and future directions of sustainability research in digital education systems. The findings extend existing knowledge by identifying research gaps and supporting sustainable, inclusive, and evidence-based digital education development.
- Digital Transformation for Community Empowerment: A Systematic Literature Review of Emerging Technologies, Social Innovation, and Sustainable Development: - Syifahul Husna; Adamu Abubakar Muhammad; Melani Maulia Apriana; Emilia Candrawati
Journal of Science, Technology, and Social Innovation Vol. 2 No. 1 (2026): Journal of Science, Technology, and Social Innovation
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jstsi.v2i1.170

Abstract

Purpose of the stud: This study maps research on digital transformation for community empowerment (2005–2027), highlighting AI, blockchain, IoT, social innovation, and sustainable development. It aims to uncover publication patterns, bibliometric characteristics, methodological approaches, key findings, and future research directions at the intersection of digital transformation acommunity empowerment.Methodology : This study employed a Systematic Literature Review (SLR) combined with bibliometric analysis following PRISMA 2020 guidelines. Data from Scopus using six keyword combinations initially yielded 451 records. After removing duplicates with OpenRefine, 123 docum ents were analyzed using Biblioshiny and VOSviewer. Further eligibility screening with Elicit AI produced a final set of 48 articles for narrative synthesis methodological classification.Main Findings: The analysis shows a sharp increase in the number of publications since 2021, with peak productivity occurring in 2025 (42 articles). Systematic/bibliometric literature reviews (22.9%) and quantitative studies (20.8%) dominate the literature, while conceptual/theoretical studies account for 16.7%. The reviewed studies focus on developing conceptual frameworks for digital transformation, digital inclusion, e-government, community-based social innovation, and the integration of artificial intelligence in public services and local economic empowerment. Future research should prioritize expanding cross-sectoral samples, longitudinal empirical validation, multi-stakeholder collaboration, and strengthening ethical governance policies.Novelty/Originality of this study: This study integrates bibliometric analysis with a systematic literature review to comprehensively map the relationships between digital transformation, community empowerment, social innovation, and sustainability. It provides an integrated overview of publication trends, methodological developments, emerging technology applications, research gaps, and future directions, offering valuable references for researchers, community development practitioners, and policymakers.
Artificial Intelligence for Social Innovation: A Systematic Literature Review of Applications, Societal Impact, Ethical Challenges, and Future Research Directions Melani Maulia Apriana; Syifahul Husna; Arsela Eko Listiono; Mageswaran Sanmugam; Muhammad Qais Rezvani
Journal of Science, Technology, and Social Innovation Vol. 2 No. 1 (2026): Journal of Science, Technology, and Social Innovation
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jstsi.v2i1.174

Abstract

Purpose of the study: In this article, the development of research on the application of Artificial Intelligence (AI) in supporting social innovation over the period 2005-2026 is systematically mapped, covering applications, societal impact, ethical challenges, and future research directions.Methodology: This study combines a Systematic Literature Review (SLR) following the PRISMA 2020 guidelines with bibliometric analysis. Data were collected from the Scopus database using four keyword combinations related to Artificial Intelligence, social innovation, social sustainability, and societal impact, yielding 101 initial records; after duplicate removal with OpenRefine, 90 documents were analyzed with Bibliometrix/Biblioshiny and VOSviewer, and 39 of them were further processed with Elicit AI.Main Findings: Publications increased sharply, peaking in 2025 with 32 articles. Systematic literature reviews (25.6%) and conceptual studies (12.8%) dominate the literature, while quantitative/experimental studies, mixed methods, and model/simulation development each account for 12.8%. The reviewed studies address AI applications in smart city governance, community economic empowerment, education, health, and environmental sustainability, and highlight ethical challenges such as algorithmic bias, the digital divide, and the lack of participatory governance frameworks.Novelty/Originality of this study: This study integrates bibliometric analysis with a systematic literature review to comprehensively map the relationship between Artificial Intelligence and social innovation, offering an integrated overview of publication trends, thematic clusters, research gaps, and future directions that can serve researchers, policymakers, and practitioners designing evidence-based, responsible AI-driven social innovation strategies.
From Endowment to Empowerment: Waqf-Based Institutional Models for Economic Inclusion and Homelessness Prevention in Emerging Muslim Cities Adamu Abubakar Muhammad
Journal of Science, Technology, and Social Innovation Vol. 2 No. 1 (2026): Journal of Science, Technology, and Social Innovation
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jstsi.v2i1.177

Abstract

Purpose of the study: This paper reconceptualizes Waqf as a development-oriented institution to promote economic inclusion and tackle urban homelessness in rapidly urbanizing Muslim societies. It moves Waqf beyond traditional charity and asset preservation toward an institutional model linking assets to long-term empowerment and urban development.Methodology: This qualitative conceptual study uses a systematic literature review of peer-reviewed articles, classical Islamic jurisprudence, policy documents, and urban development reports. Grounded in Maqāṣid al-Sharīʿah, institutional theory, Sen’s capability approach, social investment theory, and sustainable urban development theory, the literature underwent thematic content analysis to identify key model components.Main Findings: The study introduces the Waqf-Based Empowerment Institutional Model (WBEIM). Moving beyond traditional productive models that focus solely on asset returns, WBEIM ties asset productivity to a graduated pathway from homelessness to housing security, capability building, livelihood creation, and self-reliance. Unlike standard affordable-housing Waqf, WBEIM uses housing as an entry point for broader empowerment—integrating education, entrepreneurship, and employment support. It unites productive, cash, and digital Waqf within a single urban ecosystem sustained by digital accountability and reinvestment.Novelty/Originality of this study: WBEIM’s key novelty lies in reframing Waqf as an institutional empowerment system rather than just a financing tool. It bridges fragmented functions—asset utilization, shelter provision, and social finance—into a unified pathway converting Waqf resources into human capital, sustainable livelihoods, and urban inclusion.

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