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Shariah-Compliant Venture Capital: Exploring Financing Models for Startups in Indonesia Dewi, Gusti; Erdogan, Aylin; Al-Momani, Ammar
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.v3i2.2089

Abstract

The rise of startups in Indonesia has created a growing demand for innovative financing models that align with Shariah principles. Shariah-compliant venture capital (SCVC) offers a unique opportunity to support startups while adhering to Islamic ethical standards, such as the prohibition of riba (interest) and gharar (uncertainty). This study explores the potential of SCVC as a financing model for startups in Indonesia, focusing on its alignment with Shariah principles, its impact on startup growth, and the challenges faced by stakeholders. The research aims to identify effective strategies for implementing SCVC and propose recommendations for enhancing its role in fostering ethical and sustainable entrepreneurship. Using a mixed-methods approach, this study combines quantitative analysis of startup financing data with qualitative interviews with venture capitalists, Shariah scholars, and startup founders. Data were analyzed to assess the compatibility of SCVC with Shariah principles, its financial performance, and its contribution to startup success. The findings reveal that SCVC can effectively support startups while adhering to Islamic ethics, but challenges such as limited awareness, regulatory gaps, and risk-sharing complexities hinder its widespread adoption. The study concludes that promoting SCVC in Indonesia requires targeted strategies, including education, regulatory reforms, and capacity-building for stakeholders.
Effective Use of ICT in Enhancing Classroom Learning Experiences Latuconsina, Adam; Al-Momani, Ammar; Khatib, Rania
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.v4i1.788

Abstract

The integration of Information and Communication Technology (ICT) in education has transformed traditional classroom learning, offering new opportunities for engagement, interactivity, and personalized instruction. Despite the increasing adoption of digital tools in education, their effective implementation remains a challenge due to varying levels of digital literacy, resource availability, and pedagogical integration. Ensuring the optimal use of ICT in classrooms is essential for enhancing student engagement and improving learning outcomes. This study aims to examine the effectiveness of ICT in enriching classroom learning experiences by evaluating its impact on student participation, knowledge retention, and instructional efficiency. A mixed-methods approach was employed, incorporating surveys, classroom observations, and instructor interviews to assess ICT implementation across various educational settings. Findings indicate that interactive learning technologies, adaptive digital content, and real-time feedback mechanisms significantly enhance student motivation and comprehension. Statistical analysis revealed a strong correlation between structured ICT integration and academic performance. The study concludes that a well-planned and pedagogically informed use of ICT fosters a more interactive and engaging learning environment. Future research should explore long-term impacts of ICT in education and the development of frameworks for more inclusive and scalable technology integration in diverse classroom contexts.
Effectiveness of Anti-Bullying Program in Enhancing Positive School Climate in Middle Schools Imha, Ulia Arbarehan; Al-Momani, Ammar; Hamdan, Salma
World Psychology 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/wp.v4i1.803

Abstract

Bullying in schools is a pervasive issue that negatively impacts students’ mental health, academic performance, and overall school climate. A positive school climate is essential for fostering an environment conducive to learning, where students feel safe, respected, and supported. Anti-bullying programs have been implemented to address this problem; however, their effectiveness in enhancing school climate, particularly in middle schools, remains underexplored. This study aims to evaluate the effectiveness of an anti-bullying program in improving the school climate in middle schools. The research utilizes a quasi-experimental design, with 300 students from three middle schools participating in the study. Pre- and post-program surveys were administered to assess students’ perceptions of school climate, including safety, respect, and inclusiveness. The results indicate a significant improvement in the overall school climate, with increased perceptions of safety and respect, and a reduction in bullying behaviors. Students reported feeling more supported and engaged in the school community after the program. The study concludes that anti-bullying programs can be highly effective in fostering a positive school climate, providing a safer and more supportive environment for students. The findings suggest that implementing such programs in middle schools can significantly contribute to improving the educational experience and well-being of students.
Implementation of Grid Computing in Genomic Data Processing in Biomedical Informatics Rahmawati, Rahmawati; Al-Momani, Ammar; Williams, Sarah
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1618

Abstract

The exponential growth of genomic data in biomedical informatics has necessitated efficient computational methods to process and analyze vast datasets. Traditional computational systems often fall short in handling the scale and complexity of genomic data. This study investigates the implementation of grid computing as a scalable and cost-effective solution for genomic data processing in biomedical informatics. The research aims to evaluate the feasibility and performance of grid computing in enhancing data throughput, reducing computational latency, and improving resource utilization in genomic data workflows. The study adopts a methodological approach that integrates grid computing frameworks, such as Globus Toolkit and Apache Hadoop, into genomic data processing pipelines. Simulated genomic datasets and real-world case studies were employed to benchmark the grid computing system against conventional computational environments. The results demonstrate significant improvements in processing speed, with an average reduction of 40% in computational time, and a 25% increase in resource efficiency. Additionally, the system showcased robust scalability, handling up to 10 times larger datasets without compromising accuracy or reliability. In conclusion, the findings underscore the potential of grid computing to revolutionize genomic data processing, making it a pivotal technology in biomedical informatics. This study highlights the importance of adopting distributed computing paradigms to address the challenges posed by modern bioinformatics demands.
The Role of AI in Personalized Learning: Enhancing Creative Thinking in Online Classrooms Judijanto, Loso; Al-Momani, Ammar; Hanim, Siti Aisyah; Nampira, Ardi Azhar
Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v2i4.2363

Abstract

The rapid integration of Artificial Intelligence (AI) into education has transformed the dynamics of online learning, creating opportunities for personalized learning pathways. However, the potential of AI to enhance creative thinking skills among students remains underexplored. This study aims to investigate the role of AI-driven personalized learning systems in fostering creative thinking in online classrooms. A quantitative research design with a quasi-experimental approach was applied, involving 240 university students enrolled in fully online courses. The experimental group used AI-powered adaptive learning platforms, while the control group participated in conventional online learning. Data were collected through creative thinking tests and analyzed using ANCOVA to measure the impact of the intervention. The findings indicate that AI-based personalization significantly improves students’ creative thinking, particularly in generating novel ideas, problem-solving flexibility, and originality of responses. The study concludes that AI can serve as an effective catalyst for promoting creativity in digital learning environments by tailoring content, pace, and feedback to individual learners. This research provides evidence for integrating AI tools in designing student-centered online learning models that emphasize creativity as a 21st-century skill.