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The Role of Islamic Law in Regulating Cryptocurrency and Blockchain Technology: A Case Study of Indonesia’s Regulatory Framework Anggita, Marloni; Aslam, Bilal; Hussain, Sara
Sharia Oikonomia Law Journal Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/solj.v3i2.2086

Abstract

The rapid growth of cryptocurrency and blockchain technology has raised significant legal and ethical questions, particularly in Muslim-majority countries like Indonesia, where Islamic law (Shariah) plays a central role in financial regulation. This study examines the role of Islamic law in regulating cryptocurrency and blockchain technology, focusing on Indonesia’s regulatory framework. The research aims to assess the compatibility of these technologies with Shariah principles and identify gaps in the current regulatory approach. By doing so, it seeks to provide recommendations for developing a Shariah-compliant regulatory framework that balances innovation with ethical and legal considerations. Using a mixed-methods approach, this study combines legal analysis of Indonesia’s regulatory framework with qualitative interviews with Islamic scholars, regulators, and industry experts. Data were analyzed to evaluate the alignment of cryptocurrency and blockchain technology with Shariah principles, such as the prohibition of riba (interest) and gharar (uncertainty). The findings reveal that while blockchain technology has potential applications in Islamic finance, cryptocurrencies face significant challenges due to concerns over volatility, speculation, and lack of intrinsic value. The study concludes that Indonesia’s regulatory framework must be adapted to address the unique challenges posed by cryptocurrency and blockchain technology while ensuring compliance with Shariah principles.
Integration of Multicultural Folklore in Language Curriculum to Increase Intercultural Empathy Wahyuni, Erna; Hussain, Sara
International Journal of Language and Ubiquitous Learning Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v3i2.2310

Abstract

Background. Intercultural empathy is an essential skill in globalized societies, yet language education often overlooks its emotional and cultural dimensions. Multicultural folklore offers a rich and underutilized resource for embedding cultural narratives in language curricula to foster deeper cross-cultural understanding. Purpose. This study aims to investigate the effectiveness of integrating multicultural folklore into language learning to enhance students' intercultural empathy across five core dimensions: openness, empathy, respect, engagement, and confidence. Method. Using a quasi-experimental design, two groups of junior high school students (N=60) were observed over six sessions. The experimental group received a folklore-integrated language curriculum, while the control group followed a conventional language program. Data were collected through pretests, posttests, and student reflective journals, analyzed using descriptive statistics and thematic coding. Results. The experimental group showed a significant increase in empathy scores, with a mean gain of 11 points compared to 2 points in the control group. Reflective writings revealed enhanced emotional engagement, especially in students exposed to diverse cultural narratives. The empathy dimension showing the highest improvement was respect, followed by emotional empathy. Conclusion. Multicultural folklore is a powerful pedagogical tool for fostering intercultural empathy in language education. The integration of narrative elements into linguistic instruction enhances not only comprehension but also emotional connection and cultural sensitivity. Future research should explore broader cultural contexts and assess long-term impact.
Integrating ICT to Improve Student Outcomes in Diverse Classrooms Yuniwati, Ika; Hussain, Sara; Shah, Ahmed
Journal International Inspire Education Technology Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiiet.v4i1.793

Abstract

The integration of Information and Communication Technology (ICT) in education has transformed teaching and learning practices, particularly in diverse classrooms where students have varying learning needs, backgrounds, and abilities. Traditional instructional methods often fail to address these differences effectively, highlighting the need for adaptive and technology-driven educational approaches. ICT provides opportunities for personalized learning, real-time feedback, and interactive engagement, fostering improved student outcomes across multiple disciplines. This study aims to assess the impact of ICT integration on student performance, engagement, and overall learning effectiveness in diverse classroom settings. A mixed-methods research approach was employed, combining quantitative analysis of student achievement data with qualitative insights from teacher observations and student feedback. Findings indicate that ICT-enhanced learning environments lead to increased student participation, better knowledge retention, and improved problem-solving skills. Statistical analysis revealed a strong correlation between ICT adoption and higher academic performance, particularly in STEM subjects. The study concludes that ICT integration is a crucial factor in modern education, promoting equity, accessibility, and personalized learning experiences. Future research should explore long-term impacts of ICT-driven instruction and strategies for optimizing technology use in different educational contexts.
Applying Augmented Reality for History Lessons in Japan Kobayashi, Riko; Sato, Haruka; Suzuki, Ren; Hussain, Sara; Tariq, Usman
Journal Emerging Technologies in Education Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i2.2162

Abstract

Background. The integration of Augmented Reality (AR) into history education holds the potential to enhance student engagement and comprehension by providing immersive, interactive learning experiences. A mixed-methods approach was adopted, combining pre- and post-tests with interviews and focus groups. The findings suggest that AR can serve as a transformative tool in history education, bridging the gap between abstract content and lived experience.Purpose. This study investigated the effectiveness of AR-enhanced history lessons in Japanese high schools. A total of 200 students aged 15–18 participated in a quasi-experimental study, with one group receiving AR-based instruction and a control group continuing traditional methods. Method. Quantitative results showed a 25% improvement in historical knowledge among AR users versus 5% in the control group (p < 0.001). Qualitative feedback indicated higher engagement, improved retention, and greater enthusiasm toward history learning. Result. The findings indicate a significant increase in student engagement and understanding of historical events, with 85% of students reporting improved retention and a deeper understanding of history. Teachers noted a positive shift in students’ enthusiasm for learning history.Conclud. AR technology enhances history education by providing immersive and interactive learning experiences, leading to greater student engagement and better knowledge retention.  
Use of Artificial Intelligence in Predicting Electricity Needs in Smart Cities Fawait, Aldi Bastiatul; Li, Zhang; Hussain, Sara
Journal of Computer Science Advancements Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i1.1620

Abstract

The rapid urbanization and adoption of smart city technologies have led to increasing complexities in managing electricity demand. Traditional methods of forecasting electricity needs often fail to accommodate the dynamic and real-time nature of energy consumption in smart cities. Artificial Intelligence (AI) offers a promising approach by leveraging machine learning algorithms and predictive analytics to address these challenges. This study explores the use of AI in predicting electricity needs, focusing on its applicability in optimizing energy distribution and reducing inefficiencies in smart city infrastructures. The research aims to develop an AI-based predictive model to forecast electricity demand using historical and real-time data. The methodology involves data collection from smart meters, weather forecasts, and demographic records, followed by training machine learning algorithms such as Random Forest, Support Vector Machines, and Neural Networks. Performance metrics, including prediction accuracy, computational efficiency, and scalability, were analyzed to evaluate the model's effectiveness. Results indicate that AI-based models outperform traditional forecasting methods, achieving an average prediction accuracy of 92%. Neural Networks demonstrated the highest performance, particularly in handling complex and nonlinear data patterns. The AI model also showcased scalability by adapting to increasing datasets without significant degradation in performance. The study concludes that AI is a transformative tool for predicting electricity needs in smart cities. By enhancing forecast accuracy and enabling efficient energy distribution, AI contributes to sustainable urban development and smarter energy management systems.
The Role of Protected Areas in Conserving Tropical Forests: A Review Hussain, Sara; Iqbal, Kiran; Shah, Ahmed
Journal of Selvicoltura Asean Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v1i5.1669

Abstract

Protected areas are critical for the conservation of tropical forests, which are among the most biodiverse ecosystems on the planet. These areas play a vital role in safeguarding wildlife, preserving ecological processes, and mitigating the impacts of climate change. However, the effectiveness of protected areas in achieving these conservation goals varies significantly. This review aims to assess the role of protected areas in conserving tropical forests by analyzing their effectiveness, management practices, and socio-economic impacts. The study seeks to identify best practices and challenges faced in the management of these areas. A comprehensive literature review was conducted, synthesizing findings from peer-reviewed articles, government reports, and case studies related to protected areas in tropical forest regions worldwide. Key metrics such as biodiversity outcomes, habitat preservation, and community engagement were evaluated. The findings indicate that well-managed protected areas significantly contribute to biodiversity conservation and forest preservation. However, challenges such as illegal logging, encroachment, and insufficient funding hinder their effectiveness. Successful case studies highlight the importance of community involvement and adaptive management strategies in enhancing conservation outcomes. The study concludes that protected areas are essential for conserving tropical forests, but their effectiveness is contingent upon effective management and stakeholder engagement. Strengthening governance frameworks and increasing funding for these areas are crucial for ensuring their long-term success in biodiversity conservation.  
Nanobody Synthesis to Target Epidermal Growth Factor Receptor (EGFR) in Colorectal Cancer Cells Malik, Fatima; Hussain, Sara; Jiwon, Seo
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i2.2016

Abstract

Colorectal cancer (CRC) is a leading cause of cancer-related deaths, with the overexpression of epidermal growth factor receptor (EGFR) playing a critical role in its progression. Current therapies face challenges in targeting EGFR effectively. To synthesize and evaluate nanobodies targeting EGFR in colorectal cancer cells, aiming to improve therapeutic specificity and efficacy. Nanobodies were synthesized using phage display technology and screened for high affinity to EGFR. In vitro studies involved colorectal cancer cell lines (HT-29, SW480, HCT116) to assess binding specificity, internalization, and cytotoxicity. In vivo studies used mouse models implanted with human colorectal tumors to evaluate biodistribution, tumor targeting, and therapeutic outcomes. Synthesized nanobodies demonstrated high binding affinity (KD in nanomolar range) and specificity to EGFR, inhibiting cancer cell proliferation by up to 70% and reducing tumor volume by 65% in mouse models. Stability tests confirmed nanobody resilience under various biological conditions. The study highlights the potential of nanobodies targeting EGFR as an effective therapeutic approach for colorectal cancer, with significant improvements in targeting specificity and tumor reduction. Further clinical trials are necessary to confirm these findings.