Jurnal Fisika Terapan dan Inovasi Indonesia
Jurnal Fisika Terapan dan Inovasi Indonesia, with Online ISSN: 3123-4356, is an international, peer-reviewed, open-access scholarly journal published by Indonesian Scientific Publication (IDSCIPUB), a legally established institution registered under Decree No. AHU-0066545.AH.01.01.TAHUN.2023. The journal is dedicated to advancing knowledge, experimentation, and applications in theoretical, experimental, and applied physics, aiming to be a leading scientific platform within the Indonesian and global scientific community. The journal provides a platform for academics, researchers, and professionals working in universities, research centers, industries, and scientific institutions to disseminate original research articles, reviews, case studies, and conceptual papers. Through a rigorous peer-review process, the journal fosters innovation and collaboration among researchers, educators, and practitioners, deepening the understanding of fundamental and applied physics and its interdisciplinary applications. Published semi-annually — in May and November — the journal serves as a globally accessible forum for scholarly discussion on physics and related disciplines. The journal is indexed and abstracted in several reputable databases, including Google Scholar, Crossref, and Dimensions. The journal maintains a strong commitment to academic integrity and ethical publishing practices. All submitted manuscripts are evaluated based on originality, scholarly contribution, methodological rigor, and ethical compliance to ensure the quality and credibility of published research. With its commitment to open-access principles, the journal provides free and unrestricted access to all published content without any subscription barriers, supporting global knowledge dissemination and fostering collaboration among academics, researchers, and practitioners worldwide. For more information regarding manuscript submission, publication ethics, peer-review procedures, and editorial policies, please visit the official journal website. The journal welcomes original research articles, reviews, and short communications in physics and related disciplines. The scope of the journal includes, but is not limited to, the following areas: Theoretical Physics Experimental Physics Applied Physics Computational Physics Materials Science Condensed Matter Physics Nuclear and Particle Physics Geophysics Astrophysics Optics and Photonics Instrumental and Measurement Physics Medical Physics Physics Education
Systemic Barriers and Enablers in Educational and Healthcare Technology Integration
This narrative review explores the integration of emerging technologies in education and healthcare, focusing on their impact on service accessibility, instructional practices, and systemic challenges. The study aims to examine how tools such as Arduino kits, Python programming, and brain-computer interfaces are shaping educational and health outcomes. Literature was collected from major databases including Scopus, PubMed, and Google Scholar, using Boolean-based keyword strategies and systematic inclusion criteria to identify peer-reviewed studies from the past decade. Findings indicate that while educational technologies show promise in enhancing teaching and learner engagement, and assistive health tools can improve communication and mobility, their implementation is hindered by fragmented policies, infrastructural deficits, and socio-cultural barriers. Community-based approaches emerged as effective pathways to contextualize and sustain interventions, particularly in low-resource environments. However, evidence on policy coordination and long-term effectiveness remains limited. This study calls for adaptive policymaking, inclusive training programs, and expanded infrastructure support as critical measures to overcome current challenges. Future research should address gaps in empirical evidence through cross-country comparisons and longitudinal evaluations. By aligning innovation with systemic reform and community engagement, technology can become a catalyst for inclusive and sustainable transformation in global education and health systems.
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Quantum Technologies in Transition: Bridging Infrastructure, Policy, and Practice
Quantum technologies have emerged as critical enablers of next-generation communication, computation, and sensing systems. This review aims to assess the current state of Quantum Key Distribution (QKD) and related quantum technologies by examining recent empirical findings, methodological innovations, and systemic challenges. A structured literature search was conducted across Scopus, PubMed, and Google Scholar using Boolean keyword combinations targeting QKD, quantum sensing, and communication applications. The review focused on peer-reviewed articles from the last five years and included experimental studies, simulations, and applied case analyses. Findings show that QKD has demonstrated remarkable reliability in both controlled laboratory and real-world settings. Studies on multicore fiber networks highlight the potential for high-dimensional communication security, while comparative analyses reveal disparities between implementation strategies across different regions. However, systemic challenges such as inadequate infrastructure, inconsistent regulation, and insufficient public understanding hinder wide-scale adoption. The discussion identifies critical factors contributing to these challenges and proposes actionable policy recommendations, including increased investment in infrastructure, standardized regulations, and targeted education programs. This review concludes that achieving the full potential of quantum technologies will require integrative strategies addressing technical, institutional, and social dimensions. Future research should emphasize longitudinal evaluation and interdisciplinary collaboration to enhance scalability and impact. The insights offered here provide a foundational framework for policymakers, researchers, and industry leaders to advance the adoption of secure, scalable quantum systems.
Entropy and Efficiency: A Narrative Review of Thermodynamics in Complex Systems
Thermodynamics in open and complex systems is an increasingly relevant field, offering valuable insights into energy flow, entropy, and sustainability. This study aims to explore how thermodynamic principles apply in non-equilibrium and dynamic environments, where classical assumptions often fall short. Using a structured narrative review approach, the research collected peer-reviewed literature from Scopus, PubMed, and Google Scholar, employing keyword-based Boolean searches focused on "thermodynamics," "open systems," and "entropy." Studies were selected based on rigorous inclusion criteria emphasizing methodological transparency and empirical relevance. The findings reveal that classical thermodynamics remains a useful foundation but requires significant extension to address non-linear behaviors and adaptive system dynamics. Notable studies have demonstrated that entropy in complex systems can drive organization, contradicting traditional interpretations. The review also identified major barriers to implementation, such as bureaucratic rigidity, fragmented policies, and a lack of public energy literacy. These systemic obstacles hinder the adoption of efficient energy technologies, particularly in developing regions. Proposed solutions include policy reform, interdisciplinary collaboration, and data-driven energy management tools. ICT integration and predictive modeling are highlighted as powerful enablers for translating theory into practice. This review underscores the urgency of educational and institutional reform to accelerate the application of thermodynamic insights. By aligning scientific advances with socio-political frameworks, the potential of thermodynamics to drive sustainable innovation can be fully realized.
Nonlinear Optical Systems for Quantum Information and Communication
Nonlinear optics (NLO) plays a foundational role in advancing both quantum and classical optical systems, enabling novel approaches to communication, computation, and sensing technologies. This review aims to explore the theoretical and practical landscape of NLO by synthesizing literature from Scopus and Google Scholar. A structured methodology was applied, employing targeted keywords and Boolean operators to filter high-quality, peer-reviewed articles focused on experimental applications, signal processing, and quantum information science. Studies meeting stringent inclusion criteria were analyzed thematically. The results identify three dominant themes: barriers to accessing NLO technologies, the quality and effectiveness of system implementation, and institutional and social influences on technology adoption. High costs, limited expertise, and infrastructural disparities hinder widespread use, particularly in developing regions. Performance metrics such as entanglement fidelity and signal-to-noise ratio are central to evaluating technological effectiveness. User perceptions highlight optimism for future integration but raise concerns about stability and cost. In addition, collaborative frameworks between academia and industry have proven essential in bridging the gap between theory and application. The discussion emphasizes the dual nature of NLO developments: reinforcing quantum theory while challenging classical models. Systemic factors including funding, policy, and international collaboration are crucial enablers. Evidence-based solutions such as advanced materials, metasurfaces, and quantum feedback control show promise. This review concludes that ensuring equitable access, strengthening policy support, and advancing multidisciplinary research are critical to unlocking the full potential of NLO technologies.
From Promise to Practice: Systemic Factors Influencing AI Adoption in Higher Education
This study explores the integration of artificial intelligence (AI) in adaptive learning within higher education, focusing on its effectiveness, challenges, and strategic implementation. The objective is to assess how AI-driven technologies—such as machine learning, natural language processing, and learning analytics—support personalized education and improve student outcomes. The methodology involved a narrative review of peer-reviewed literature sourced from Scopus, PubMed, and Google Scholar, using a targeted Boolean search strategy and strict inclusion criteria. Studies were selected based on their empirical focus, educational context, and relevance to AI-enabled adaptive learning. The findings reveal that AI technologies significantly enhance student engagement and academic performance by tailoring content delivery, monitoring progress, and enabling real-time feedback. However, institutional readiness varies greatly between developed and developing countries. While well-resourced institutions have successfully embedded AI into their pedagogical systems, many universities in Southeast Asia struggle with limited infrastructure, faculty preparedness, and policy support. Systemic barriers—such as lack of funding, inadequate infrastructure, and insufficient training—emerge as critical challenges. To overcome these barriers, the study suggests coordinated policy efforts, investment in digital infrastructure, faculty training, and inclusive design approaches. Future research should address the long-term impacts of AI in education and ethical considerations related to data use. These efforts are essential to ensure equitable, effective, and sustainable AI adoption that can transform higher education globally.