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HADITH AND ITS ROLE IN SHAPING ISLAMIC LEGAL AND THEOLOGICAL SYSTEMS Taufik Setyaudin; Felipe Souza; Rafaela Lima
Journal of Noesantara Islamic Studies Vol. 3 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnis.v3i3.3569

Abstract

Hadith constitutes a foundational source in Islamic intellectual tradition, shaping both legal reasoning and theological articulation alongside the Qur’an. Ongoing debates concerning authenticity, interpretation, and contemporary relevance highlight the need for a comprehensive re-examination of its role within evolving socio-legal contexts. This study aims to analyze how Hadith functions as a normative and interpretive framework in the formation of Islamic legal and theological systems. A qualitative interpretive design was employed, integrating isn?d analysis, thematic textual examination, and comparative study of major legal and theological schools, supported by contemporary scholarly discourse. Results indicate that Hadith operates as a multidimensional source that informs detailed legal rulings and doctrinal positions, with methodological diversity across schools enabling both continuity and adaptability. Findings further reveal that context-sensitive interpretations enhance the applicability of Hadith in addressing modern issues, while text-oriented approaches provide structural stability. This study concludes that Hadith remains a dynamic and authoritative source, bridging revelation and interpretation, and offering a flexible yet coherent framework for the development of Islamic legal and theological thought in both classical and contemporary contexts.
Analysis of Teachers’ Perceptions on the Implementation of Ki Hajar Dewantara’s Educational Philosophy in the Independent Learning Curriculum Andi Hermawan; Thiago Rocha; Rafaela Lima
International Journal of Educational Narratives Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v3i1.2144

Abstract

Background. This study explores teachers’ perceptions of the implementation of Ki Hajar Dewantara’s educational philosophy within the framework of the Independent Learning Curriculum. As Indonesia shifts toward a more student-centered educational model, rooted in the values of independence, critical thinking, and creativity, understanding teachers’ perspectives on integrating Dewantara’s philosophy is crucial. Purpose. Dewantara’s philosophy, which emphasizes freedom of learning and the development of students’ full potential, offers a valuable foundation for the Independent Learning Curriculum introduced by the Indonesian Ministry of Education. Method. The aim of this research is to analyze teachers’ views on how effectively the principles of Dewantara’s educational philosophy are being integrated into the curriculum, and the challenges and benefits they perceive in this process. A qualitative approach was used, involving in-depth interviews with 20 primary and secondary school teachers across various regions. Results. The findings reveal that while teachers generally appreciate Dewantara’s educational philosophy, they face challenges such as limited resources and insufficient professional development opportunities. However, they also recognize the positive impact of his principles in fostering a more holistic approach to education. Conclusion. The study concludes that there is a need for more structured support and resources for teachers to fully implement Dewantara’s philosophy within the Independent Learning Curriculum.  
HYBRID SOLAR-BIOMASS SYSTEMS FOR OFF-GRID RURAL ELECTRIFICATION: TECHNO-ECONOMIC AND ENVIRONMENTAL ASSESSMENT Ardi Azhar Nampira; Felipe Souza; Rafaela Lima
Journal of Moeslim Research Technik Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i3.2354

Abstract

This study investigates the potential of a hybrid solar-biomass system to provide reliable and sustainable electricity to off-grid rural communities. The research background highlights the critical energy poverty prevalent in many rural areas, which lacks access to a stable power grid. While solar energy is a promising solution, its intermittent nature often limits its reliability. The primary objective is to conduct a comprehensive techno-economic and environmental assessment of a hybrid solar-biomass system. The study aims to design an optimized system configuration that can meet the energy demand of a typical rural village while minimizing the levelized cost of energy (LCOE) and reducing the system’s overall carbon footprint. The research seeks to demonstrate a viable and sustainable alternative to conventional fossil fuel-based generation. The research methodology involves creating a detailed energy model of a hybrid system using specialized software. The model integrates solar photovoltaic (PV) panels, a biomass gasifier, and a battery storage system.. The research findings demonstrate that the hybrid system is a technically and economically feasible solution for rural electrification. The optimized configuration achieved a low LCOE of $0.25/kWh, which is competitive with diesel-based generators. The environmental assessment projected a 75% reduction in GHG emissions. The conclusion is that hybrid solar-biomass systems provide a highly effective, cost-efficient, and environmentally sound approach to off-grid rural electrification. to both economic development and climate change mitigation goals.
THE RELATIONSHIP BETWEEN THE USE OF TEACHING AIDS AND SCIENCE CONCEPT UNDERSTANDING IN ELEMENTARY SCHOOL STUDENTS Handriadi Handriadi; Felipe Souza; Rafaela Lima; idam Mustofa
International Journal of Educatio Elementaria and Psychologia Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijeep.v2i2.1888

Abstract

Developing a strong understanding of scientific concepts is critical for elementary school students as it forms the foundation for advanced learning and problem-solving skills. However, traditional teaching methods often fail to engage students effectively, leading to superficial understanding and low retention of science concepts. The use of teaching aids has been identified as a potential strategy to address this issue by making abstract concepts more tangible and interactive. This study aims to investigate the relationship between the use of teaching aids and the understanding of science concepts among elementary school students. A correlational research design was employed, involving 120 fifth-grade students from multiple schools. Data were collected using a science concept understanding test and an observation checklist to measure the extent and effectiveness of teaching aid usage. The results revealed a significant positive correlation between the use of teaching aids and students’ understanding of science concepts. Students exposed to teaching aids demonstrated higher levels of engagement, comprehension, and retention compared to those who received traditional instruction. These findings emphasize the importance of integrating teaching aids into science lessons to enhance learning outcomes. The study concludes by recommending the widespread use of teaching aids to support effective science education in elementary schools.
COGNITIVE STYLES AND THEIR INFLUENCE ON LEARNING PREFERENCES IN EARLY CHILDHOOD EDUCATION Ayu Fajarwati; Clara Mendes; Rafaela Lima
Research Psychologie, Orientation et Conseil Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v3i1.3448

Abstract

Early childhood education is increasingly shaped by learner-centered paradigms; however, limited empirical evidence explains how cognitive styles influence learning preferences at this developmental stage. Variability in children’s cognitive processing patterns may contribute to differentiated engagement behaviors, yet research in early childhood contexts remains underdeveloped. This study aims to examine the relationship between cognitive styles and learning preferences among children aged 4–6 years in formal early education settings. A mixed-methods explanatory sequential design was employed involving 162 participants from six institutions. Cognitive styles were measured using developmentally adapted assessment scales, while learning preferences were documented through structured classroom observations. Quantitative data were analyzed using correlation and multiple regression techniques, complemented by qualitative thematic analysis. Results revealed significant associations between visual–spatial orientation and visual–kinesthetic engagement (r = 0.61, p < 0.001), as well as between field-dependence and collaborative learning preference (r = 0.52, p < 0.001). Cognitive styles collectively explained 47% of variance in learning preferences. Findings indicate that cognitive processing tendencies meaningfully shape observable learning behaviors in early childhood classrooms. Recognition of cognitive diversity supports differentiated instructional design and developmentally responsive pedagogical strategies.  
Quantum Machine Learning for Early Detection of Chronic Diseases Pedro Silva; Bruna Costa; Rafaela Lima
Journal of Tecnologia Quantica Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i4.1680

Abstract

The background of this research focuses on t, Malaysiahe development of early detection methods for chronic diseases using Quantum Machine Learning (QML). Chronic diseases such as diabetes, hypertension, heart disease, and cancer are often detected too late, leading to preventable complications. This study aims to explore the potential of QML in improving the accuracy and speed of diagnosis by combining clinical data and medical images. The method used involves the application of quantum machine learning algorithms to analyze medical datasets that include numerical information and medical images such as CT scans and MRIs. The results show that QML can process data faster and more accurately than traditional machine learning methods. QML is also capable of detecting hidden patterns in data that cannot be found with conventional techniques. The conclusion of this study shows that Quantum Machine Learning offers an effective new approach for the early detection of chronic diseases. This technology can improve healthcare systems by providing faster and more accurate predictions, which can reduce mortality rates from chronic diseases. Further research is needed to expand QML applications and address current hardware limitations
A Novel Quantum Algorithm for Solving Non-Linear Differential Equations with Potential Exponential Speedup Loso Judijanto; Thiago Rocha; Rafaela Lima
Journal of Tecnologia Quantica Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i6.2792

Abstract

Non-linear differential equations constitute the mathematical foundation of complex physical, biological, and engineering systems, yet classical numerical solvers often suffer from prohibitive computational costs as system dimensionality increases. Quantum computation offers a promising pathway for accelerating such calculations, although existing quantum algorithms primarily address linear differential models and fail to generalize efficiently to non-linear regimes. This study aims to develop and evaluate a novel quantum algorithm designed specifically to approximate solutions to non-linear differential equations with a potential exponential speedup over classical methods. The proposed approach integrates a variational quantum ansatz with non-linear Hamiltonian embedding and amplitude encoding to capture non-linearity within a tractable quantum framework. Simulations were conducted on noisy intermediate-scale quantum (NISQ) models and idealized quantum circuits to benchmark accuracy, convergence behavior, and computational scaling. The results indicate that the algorithm achieves stable convergence across representative non-linear systems while demonstrating a significant reduction in computational complexity relative to classical solvers, particularly for high-dimensional models. The study concludes that the proposed algorithm represents a viable direction for quantum-enhanced numerical analysis and may serve as a foundation for future quantum solvers targeting complex dynamical systems.
Developing an Innovation Management Model that is Suitable to the Indonesian MSME Context Ali Mufron; Livia Alves; Rafaela Lima
Journal of Loomingulisus ja Innovatsioon Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v1i5.1708

Abstract

The rapid growth of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia has highlighted the need for an innovation management model tailored to their unique characteristics. Despite their economic importance, Indonesian MSMEs face challenges in managing innovation due to limited resources, technological constraints, and lack of formal structures. This study aims to develop an innovation management model specifically designed to meet the needs and conditions of Indonesian MSMEs. The research adopts a mixed-methods approach, combining qualitative interviews with MSME owners and managers, and quantitative surveys to gather data on innovation practices and challenges. A conceptual framework is then developed based on the data collected, incorporating best practices in innovation management tailored to the Indonesian context. The findings reveal that a flexible, resource-conscious approach to innovation management is essential for MSMEs, with an emphasis on collaborative networks, low-cost innovation strategies, and adaptive leadership. The proposed model is designed to facilitate innovation by overcoming resource limitations and fostering a culture of continuous improvement. In conclusion, the research contributes to the development of a contextualized innovation management model for Indonesian MSMEs, offering a practical framework for enhancing their competitiveness in a dynamic market.
Development of High-performance Organic Semiconductors for Flexible Electronics Raul Gomez; Felipe Souza; Rafaela Lima
Research of Scientia Naturalis Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i4.1574

Abstract

The rapid growth of flexible and wearable electronics has driven significant research into the development of high-performance organic semiconductors. These materials offer unique advantages, such as mechanical flexibility, solution processability, and tunable electronic properties, making them attractive alternatives to traditional inorganic semiconductors for next-generation flexible devices. Understanding the recent advancements in organic semiconductor design and fabrication is crucial for realizing the full potential of flexible electronics. This review article aims to provide a comprehensive overview of the latest progress in the development of high-performance organic semiconductors for flexible electronics applications. The study investigates the design principles, synthesis techniques, and device integration strategies that have enabled the realization of flexible and conformable organic electronic systems with enhanced performance and reliability. The research methodology involves an extensive literature review of peer-reviewed journal articles, conference proceedings, and patent documents published within the last five years. The analysis focuses on the most promising organic semiconductor materials, their structural and electronic properties, and their implementation in diverse flexible electronic devices, such as displays, sensors, and energy storage systems. The review highlights the successful development of novel organic semiconductor architectures, including small molecules, conjugated polymers, and hybrid organic-inorganic materials, which have demonstrated superior charge transport, optical, and mechanical properties. Significant advancements in synthetic strategies, molecular engineering, and thin-film deposition techniques have enabled the fabrication of high-mobility, stable, and solution-processable organic semiconductors. The study concludes that the continued progress in organic semiconductor research holds great promise for realizing the full potential of flexible electronics. The insights gained from this review can guide future research directions and facilitate the translation of organic semiconductor innovations into practical, large-area flexible and wearable devices.  
DEVELOPMENT OF A BIO-MEMS CANTILEVER-BASED BIOSENSOR FOR THE RAPID, LABEL-FREE DETECTION OF THE AVIAN INFLUENZA VIRUS Thiago Rocha; Clara Mendes; Rafaela Lima
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i6.2979

Abstract

Avian influenza virus remains a significant threat to global public health, poultry industries, and food security due to its high transmissibility and zoonotic potential. Rapid and reliable detection is essential for early outbreak control, yet conventional diagnostic methods are often time-consuming, laboratory-dependent, and rely on labeled reagents, limiting their applicability in field and point-of-care settings. This study aims to develop a Bio-MEMS cantilever-based biosensor capable of rapid, label-free detection of the avian influenza virus with high sensitivity and specificity. An experimental Bio-MEMS approach was employed, involving microfabrication of silicon cantilevers, surface biofunctionalization with virus-specific recognition elements, and real-time mechanical sensing of virus–receptor interactions. The biosensor’s performance was evaluated by measuring cantilever deflection responses under controlled exposure to varying viral concentrations. The results demonstrate stable baseline behavior, low noise levels, and clear concentration-dependent deflection signals, achieving rapid detection within minutes and a low limit of detection without signal amplification. Non-target analytes produced negligible responses, confirming high specificity. In conclusion, the developed Bio-MEMS cantilever-based biosensor provides an effective platform for rapid, label-free detection of avian influenza virus. This technology shows strong potential for integration into portable diagnostic systems and could be adapted for surveillance of other viral pathogens.