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All Journal World Psychology Journal of Computer Science Advancements Journal of Noesantara Islamic Studies International Journal of Educatio Elementaria and Psychologia Research Psychologie, Orientation et Conseil Journal of Tecnologia Quantica Journal of Loomingulisus ja Innovatsioon Cognitionis Civitatis et Politicae Research of Scientia Naturalis Journal of Biomedical and Techno Nanomaterials Journal of Humanities Research Sustainability Islamic Studies in the World Journal of Advanced Pharmaceutical Research Sciences and Sustainability Scientechno: Journal of Science and Technology Journal Markcount Finance Journal Neosantara Hybrid Learning Journal of World Future Medicine, Health and Nursing Pengabdian: Jurnal Abdimas Journal Emerging Technologies in Education International Journal of Educational Narratives Rechtsnormen: Journal of Law International Journal of Language and Ubiquitous Learning
Nina Anis
Monash University
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Education Environmental Science Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics Social Sciences Other

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PATTERN RECOGNITION SYSTEM FOR AUTOMATING MEDICAL DIAGNOSIS BASED ON IMAGE DATA Evi Irianti; Nina Anis; Saifiullah Aziz
Scientechno: Journal of Science and Technology Vol. 4 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v4i3.2126

Abstract

The increasing volume and complexity of medical image data have presented significant challenges for healthcare professionals in delivering timely and accurate diagnoses. Traditional diagnostic processes are often time-consuming and prone to human error, underscoring the need for automated solutions. This study aims to develop a pattern recognition system to automate medical diagnosis using image data, thereby improving diagnostic accuracy and efficiency. A hybrid methodology was employed, combining image preprocessing, feature extraction using convolutional neural networks (CNNs), and classification through deep learning algorithms. The system was trained and validated using publicly available medical image datasets across various disease types. The results demonstrate high diagnostic accuracy, with the system achieving over 92% precision in identifying disease patterns from image inputs. Furthermore, the model exhibited robustness across different imaging modalities, such as X-rays, MRIs, and CT scans. These findings suggest that the proposed pattern recognition system can serve as a reliable support tool for medical practitioners. In conclusion, the integration of image-based pattern recognition in medical diagnostics holds significant promise in enhancing clinical decision-making processes and reducing diagnostic errors.
Blockchain-Based Smart Contracts in Microfinance: Enhancing Trust and Reducing Transaction Costs in Southeast Asia Farida Akbarina; Nina Anis; Rashid Rahman
Journal Markcount Finance Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jmf.v3i3.3022

Abstract

Microfinance plays a vital role in financial inclusion in Southeast Asia, yet persistent challenges such as high transaction costs, information asymmetry, and limited transparency continue to undermine institutional sustainability and borrower trust. This study aims to examine how blockchain-based smart contracts enhance trust and reduce transaction costs within microfinance institutions operating in Southeast Asia. A mixed-methods research design is employed, combining quantitative analysis of transaction cost indicators, loan processing efficiency, and repayment performance with qualitative insights from microfinance practitioners and borrowers. Data are collected from selected institutions implementing smart contract systems in Indonesia, Vietnam, and the Philippines. The results indicate significant reductions in administrative, monitoring, and enforcement costs alongside faster loan disbursement processes. Improved transparency and automated contract execution contribute to higher levels of borrower trust, fewer disputes, and stronger repayment discipline. The findings reveal a positive relationship between transaction cost reduction and trust enhancement, suggesting that operational efficiency reinforces institutional credibility. The study concludes that blockchain-based smart contracts function as socio-technical mechanisms that reshape governance structures in microfinance rather than serving solely as efficiency tools. The novelty of this research lies in its empirical demonstration that technological trust embedded in smart contracts can complement and partially replace relational trust, offering a context-sensitive framework for digital financial inclusion in Southeast Asia.
UNIVERSAL DESIGN FOR LEARNING IN HYBRID EDUCATION: BRIDGING ACCESSIBILITY AND ACADEMIC ACHIEVEMENT Ni Wayan Karimi; Putri Julia Ningsi; Nina Anis; Dyah Retno Wulan
Journal Neosantara Hybrid Learning Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnhl.v4i2.3768

Abstract

The integration of Universal Design for Learning (UDL) in hybrid education has gained attention for its potential to address the diverse needs of students and bridge gaps in accessibility and academic achievement. Hybrid learning, which combines in-person and online instruction, presents unique challenges in ensuring equal access to learning resources and opportunities. UDL, with its flexible framework for creating inclusive educational environments, aims to provide multiple means of representation, engagement, and expression. This study investigates the impact of UDL principles on student engagement and academic performance in hybrid learning settings. The research employs a mixed-methods approach, combining quantitative surveys and academic performance assessments with qualitative interviews and focus groups. The results indicate that UDL significantly enhances student engagement and academic achievement in hybrid courses, with a 15% improvement in test scores and higher participation rates. Students reported increased satisfaction, particularly due to the adaptability of learning materials and assessments. The study concludes that UDL offers a promising framework for improving accessibility and promoting academic success in hybrid education. Implementing UDL principles can help educators create more inclusive and equitable learning environments, fostering greater success for a diverse range of students.
EXPLORING THE IMPACT OF TELEMEDICINE ON ACCESS TO HEALTHCARE IN RURAL COMMUNITIES Asmirati Yakob; Nina Anis; Rashid Rahman
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i2.3608

Abstract

The rapid advancement of telemedicine has revolutionized healthcare delivery, particularly in rural areas where access to healthcare services is often limited. This study explores the impact of telemedicine on improving healthcare access in rural communities, aiming to evaluate how virtual healthcare platforms can overcome geographical barriers and enhance patient outcomes. The research employs a mixed-methods approach, combining qualitative interviews with healthcare professionals and patients in rural settings, along with quantitative surveys to assess healthcare accessibility, satisfaction, and perceived effectiveness. The findings reveal that telemedicine significantly improves access to healthcare by reducing travel time, minimizing wait times for appointments, and offering continuous care, which is crucial for managing chronic conditions. Furthermore, patients expressed high satisfaction with the convenience and affordability of virtual consultations. However, challenges such as limited internet connectivity, technological literacy, and concerns about the quality of care were noted. In conclusion, telemedicine holds great potential in expanding healthcare access in rural communities, but it requires tailored strategies to address infrastructure gaps and ensure equitable access to all individuals. Future research should focus on the long-term outcomes and scalability of telemedicine initiatives in diverse rural settings.
PUBLIC POLICY ANALYSIS OF DECENTRALIZED NATIONAL ELECTRONIC HEALTH RECORDS USING BLOCKCHAIN TECHNOLOGY Mulyaningsih Mulyaningsih; Nurul Huda; Nina Anis
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.v4i4.4068

Abstract

National electronic health record (EHR) systems face persistent challenges related to interoperability, data security, and fragmented governance structures, particularly within centralized architectures that limit real-time data exchange across healthcare institutions. This study aims to analyze public policy implications of implementing decentralized national EHR systems using blockchain technology, with emphasis on governance transformation, regulatory alignment, and system performance. A qualitative-dominant mixed-methods approach is employed through comparative policy analysis, secondary data evaluation, and stakeholder interpretation. Results indicate that blockchain-based EHR systems significantly improve interoperability (88% vs 62%), reduce data breach incidence (3 vs 18 cases per million records), and enhance patient data accessibility (score 91 vs 65). Inferential findings confirm statistically significant improvements in system efficiency and governance performance. The study concludes that decentralized blockchain-enabled EHR systems offer substantial advantages over centralized models, not only in technical performance but also in reinforcing transparency, trust, and data sovereignty within national health governance frameworks, while requiring adaptive regulatory reforms for sustainable implementation.
Empowering Local SMEs in Rural Java through a Community-Based E-Commerce Training and Digital Literacy Program Edi Supardi; Amin Zaki; Nina Anis; Dikky Suryadi
Pengabdian: Jurnal Abdimas Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/abdimas.v3i3.2683

Abstract

Background. Rural micro, small, and medium enterprises (SMEs) in Java remain economically marginalized due to low digital literacy, limited market access, and minimal use of e-commerce platforms. Although digital transformation initiatives have been introduced nationally, a digital divide between rural and urban areas persists, reducing SME competitiveness and weakening rural economic resilience. Purpose. The study aims to assess digital literacy needs among rural SMEs, implement a collaborative community-based digital training model, and evaluate the measurable impacts of the program on e-commerce adoption and business growth. Method. A mixed-methods research approach was used, combining pre- and post-training surveys, direct observation, focus group discussions, and business performance tracking. The intervention lasted 12 weeks and involved 50 SME participants from three rural villages in Java. Results. The study found notable improvements in participants’ digital skills, especially in online marketing, secure digital transactions, and the use of social commerce platforms. SMEs also experienced increased customer engagement and moderate revenue growth. Community participation further strengthened peer learning and supported ongoing knowledge retention. Conclusion. A community-based digital literacy model is effective and scalable for reducing digital gaps in rural areas. By empowering SMEs as active digital participants, the program enhances inclusive digital economic development and supports broader rural socio-economic advancement.
The Disruptive Innovation of Communicative Language Teaching (CLT) in English Language Presentations for Economic and Management Knowledge Hengki Hengki; Ratna Ratna; Nina Anis
Journal Emerging Technologies in Education Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i5.1609

Abstract

Background. This paper aims to provide an overview of the key findings and implications of the research conducted. The present study examines the impact of communicative language teaching (CLT) as a disruptive innovation on the pedagogy of English language instruction. Purpose. This paper aims to provide an overview of the key findings and implications of the research conducted. The present study examines the impact of communicative language teaching (CLT) as a disruptive innovation on the pedagogy of English language instruction for the acquisition of knowledge in the fields of management and economics. Method. The implementation of the Critical Learning Theory (CLT) presents a novel pedagogical strategy that fosters the development of critical thinking abilities, enhances effective communication skills, and cultivates cultural competency. Results. This essay examines the fundamental principles of Communicative Language Teaching (CLT) and its integration into the domains of economics and management education. Additionally, it investigates the impact of CLT on both educators and learners. Conclusion. Based on the findings, the incorporation of CLT has the potential to enhance students' competence and engagement, thereby equipping them with the necessary skills to thrive in the competitive.
The Influence of the Application of Constructivism Philosophy on Elementary School Students’ Learning Independence Nina Anis; Aiman Fariq; Alal Chahine
International Journal of Educational Narratives Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v3i2.2143

Abstract

Background. This study aims to examine the influence of constructivism philosophy application on elementary school students’ learning independence. The rapid changes in educational paradigms emphasize the need for students to actively engage in their learning processes. Constructivism, with its focus on learners building knowledge through experience and reflection, has been identified as a potential catalyst in fostering students’ independence. Purpose. The objective of this research is to determine how the implementation of constructivist-based learning strategies can impact students’ ability to work autonomously in the learning environment. This research adopts a quasi-experimental method with a pre-test and post-test design. Method. The sample consists of two groups of elementary school students, with one group receiving constructivist-based instruction and the other group following traditional teaching methods. Data collection involved observation, questionnaires, and tests to measure the level of students’ learning independence before and after the intervention. Results. The results revealed that the application of constructivist principles significantly improved students’ learning independence, as seen from the increased scores in the post-test and positive feedback from observational data. Conclusion. This study concludes that constructivist-based learning can effectively enhance students’ independence, suggesting that educators should consider incorporating these strategies into their teaching practices.  
Artificial Intelligence and the Future of Intellectual Property Law: A Critical Review Dodi Rusmana; Rashid Rahman; Nina Anis
Rechtsnormen: Journal of Law Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v4i1.3385

Abstract

Background. The rapid development of artificial intelligence has profoundly transformed creative and innovative practices, raising complex challenges for existing intellectual property law frameworks. Legal regimes governing copyright and patents were historically constructed around human authorship, inventorship, and intentional creativity, assumptions that are increasingly strained by the emergence of autonomous and generative AI systems. Purpose. This study aims to critically review how contemporary intellectual property law responds to the growing role of artificial intelligence and to assess whether current doctrines remain conceptually and normatively adequate. Method. The research adopts a qualitative doctrinal and critical review method, analyzing statutes, policy documents, judicial decisions, and peer-reviewed literature related to artificial intelligence and intellectual property law across multiple jurisdictions. Results. The findings reveal persistent legal uncertainty, doctrinal rigidity, and fragmented regulatory approaches, with most legal systems favoring reinterpretation of human-centric concepts rather than substantive reform. The analysis also highlights significant divergence between jurisdictions in balancing innovation incentives, ethical concerns, and legal certainty. Conclusion. The study concludes that incremental doctrinal adaptation alone is insufficient to address the structural challenges posed by artificial intelligence. A more integrated and forward-looking legal framework is required to reconcile technological autonomy with the foundational objectives of intellectual property law and to ensure its continued relevance in the age of artificial intelligence.
Prediction of Indonesian Learning Achievement Using Machine Learning Models Muh. Safar; Nina Anis
International Journal of Language and Ubiquitous Learning Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v3i1.1921

Abstract

Background. Student learning achievement is one of the important indicators in assessing the effectiveness of education. Various factors such as student attendance and socioeconomic status have been known to affect learning outcomes. However, the influence of access to technology in the context of education in Indonesia has not been studied in depth. In today's digital era, access to technology is an important aspect that can support or hinder the learning process of students. Purpose. This study aims to analyze the influence of student attendance, socioeconomic status, and access to technology on student learning achievement. In addition, this study also aims to test the accuracy of machine learning models in predicting student exam results based on these variables. Method. This study uses a quantitative approach with the application of machine learning models, including linear regression and decision trees. The data used includes students' test scores, attendance levels, socioeconomic status, and access to technology devices and networks. Results. The results of the analysis showed that student attendance, socioeconomic status, and access to technology had a significant influence on learning achievement. The machine learning model applied is able to predict students' exam results with a high level of accuracy, demonstrating the effectiveness of this approach in educational analysis. Conclusion. This study emphasizes the importance of external factors, especially access to technology, in predicting student learning achievement. A more inclusive education policy is needed by expanding access to technology and educational facilities, in order to support the equitable distribution of learning quality in all circles.
Co-Authors Aiman Fariq Alaa Chahine Alal Chahine Amin Zaki Amina Azhigali Asep Kusmawan Asmirati Yakob Chen Mei Deni Iqbal Dikky Suryadi Dodi Rusmana Dyah Retno Wulan Edi Supardi Elliya Sestri Evi Irianti Farida Akbarina Haidar Bilaleya Hendro Wijiantoro Hengki Indriani MR Hutagalung Loso Judijanto Luluk Alfiya Makhrus Ali Manurung, Edison Hatoguan Mirza Ilhami Muchlis Daroini Muh. Ilham Usman, Muh. Ilham Muh. Nur Muh. Safar Muhammad Hazmi Mujiburrohman Mulyaningsih Munirah Ni Wayan Karimi Nong Chai Nurul Huda Nurul Huda Opan Arifudin Pong Krit Putri Julia Ningsi Rashid Rahman Ratna Ratna Rifa Andriana Rina Farah Rinovian Rais Ruri Angelia Kusuma Saifiullah Aziz Syarifatul Hayati Zarfi Zain Nizam