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All Journal Journal of Computer Science Advancements Journal of Noesantara Islamic Studies Journal of Selvicoltura Asean International Journal of Educatio Elementaria and Psychologia Research Psychologie, Orientation et Conseil Journal of Loomingulisus ja Innovatsioon Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology Journal Markcount Finance Sharia Oikonomia Law Journal Journal of World Future Medicine, Health and Nursing International Journal of Educational Narratives Rechtsnormen: Journal of Law International Journal of Language and Ubiquitous Learning Journal of Social Science Utilizing Technology
Ryan Teo
Republic Polytechnic
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Law, Crime, Criminology & Criminal Justice Other

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Redefining Language Learning Through AR/VR Technologies: Immersive Environments for Enhancing Cultural Understanding and Linguistic Proficiency Ishak Bagea; Mariama Bah; Ryan Teo
International Journal of Language and Ubiquitous Learning Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v4i1.3392

Abstract

Background. Augmented Reality (AR) and Virtual Reality (VR) technologies have the potential to revolutionize language learning by providing immersive, interactive environments that enhance cultural understanding and linguistic proficiency. Traditional language learning methods often fail to fully engage learners in real-life contexts, limiting their exposure to authentic language use and cultural nuances. AR and VR offer a unique opportunity to simulate real-world scenarios, enabling learners to experience language and culture in ways that were previously unimaginable. Purpose. This study aims to explore the integration of AR and VR technologies into language learning platforms to enhance both linguistic proficiency and cultural understanding. The research focuses on evaluating how immersive environments can improve learners’ ability to engage with language in practical, context-driven settings. Method. The study uses a mixed-methods design, incorporating both qualitative and quantitative data. Participants were exposed to AR and VR-based language learning modules, and their linguistic performance, cultural understanding, and engagement were assessed through pre- and post-tests, surveys, and interviews. Observational data from classroom settings were also analyzed to evaluate the effectiveness of the immersive learning experience. Results. The findings show that learners who engaged with AR/VR-based language learning demonstrated significant improvements in both linguistic proficiency and cultural understanding. Additionally, participants reported higher levels of motivation and engagement compared to traditional methods. Conclusion. AR and VR technologies offer significant potential in language learning by providing immersive experiences that enhance both linguistic and cultural learning. The study highlights the importance of integrating innovative technologies into educational frameworks to foster more effective and engaging language acquisition.
Digital Transformation in Public Services: A Comparative Analysis of the Effectiveness of Single Window Service Policies in Various Regional Governments Aries Purwanto; Muh Irfan Mukhlishin; Mulyaningsih Mulyaningsih; Ryan Teo
Journal of Social Science Utilizing Technology Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i3.3769

Abstract

Background. Digital transformation in public services has become a critical component in improving government service delivery. One of the most significant innovations in this area is the implementation of Single Window Service (SWS) policies, which aim to streamline public service access by offering citizens a single point of contact for multiple government services. Despite the widespread adoption of SWS policies, their effectiveness varies across different regions, largely due to differences in technological infrastructure, governance structures, and regional support for digital initiatives. Purpose. This study seeks to provide a comparative analysis of the effectiveness of SWS policies in various regional governments, examining the factors that influence their success and identifying the key outcomes of these policies. Method. A mixed-methods approach is employed, combining qualitative interviews with government officials, surveys of citizens, and quantitative performance data to assess service efficiency, citizen satisfaction, and administrative burden reduction. Results. The results show that regions with stronger digital infrastructure and better organizational readiness exhibit higher levels of SWS success, while those with limited resources struggle to achieve similar outcomes Conclusion. The study concludes that the effectiveness of SWS policies is contingent not only on technological infrastructure but also on governance and organizational factors, providing valuable insights for improving digital public service delivery.
THE ROLE OF AI-BASED EXPERT SYSTEMS IN OPTIMIZING PHARMACEUTICAL MANAGEMENT IN SMART HOSPITALS Pande Ayu Naya Kasih; Ethan Tan; Ryan Teo
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i4.4265

Abstract

Artificial intelligence-based expert systems are increasingly used in smart hospitals to improve medication safety, inventory efficiency, and pharmaceutical decision-making. This study aimed to evaluate the role of an integrated AI expert system in optimizing clinical and logistical pharmacy management. A multi-site mixed-methods quasi-experimental design was conducted in four smart hospitals, with two intervention hospitals and two comparison hospitals observed across six-month baseline and intervention periods. Quantitative data included 122,480 prescriptions, 1,186 pharmaceutical products, stockout records, expired medicines, emergency purchases, medication errors, and processing times, while qualitative data were obtained from surveys, interviews, and focus groups involving healthcare professionals. Results showed that AI implementation reduced stockouts by 48.24%, decreased medication errors from 3.82% to 2.06%, shortened prescription-processing time from 13.60 to 8.90 minutes, and lowered expired medicine value and emergency purchasing. The study concludes that AI-based expert systems can optimize pharmaceutical management by integrating predictive analytics, patient-specific safety rules, and human oversight within coordinated smart-hospital workflows, while preserving accountability, transparency, and professional judgment across diverse clinical and operational settings.  
Co-Authors Abul Walid Aries Purwanto Arum Putri Rahayu Ava Lee Ava Lee Chen Mei Dodi Setiawan Riatmaja Erni Nurhayani Erniyati Caronge Ethan Tan Ethan Tan Eva Janssen Fathurrahman Fatimah Fahurian Gregorius Henu Basworo Ishak Bagea Izzul Ashlah James Njoroge Kaito Tanaka khoiriyah khoiriyah Lucas Wong Lucas Wong Makhrus Ali Marcus Tan Mariama Bah Mega Ilhamiwati Megan Koh Muh Irfan Mukhlishin Mulyaningsih Muntasir, Muntasir Pande Ayu Naya Kasih Rachel Chan Rahma Nurzianti Rania Al-Mohammed Sofia Lim Sofia Linm Sun Wei Taufik Setyaudin Triyugo Winarko