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All Journal Journal International Inspire Education Technology (JIIET) Journal International Dakwah and Communication Journal of Social Science Utilizing Technology Journal of World Future Medicine, Health and Nursing Journal of Social Science Utilizing Technology International Journal of Educatio Elementaria and Psychologia Journal of Tecnologia Quantica Journal of Loomingulisus ja Innovatsioon Techno Agriculturae Studium of Research Research of Scientia Naturalis Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology Journal of Multidisciplinary Sustainability Asean
Zaman, Khalil
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Social Networks and Social Support in the Success of Creative Startups Zaman, Khalil; Khan, Omar; Khan, Jamil
Journal of Social Entrepreneurship and Creative Technology Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v1i4.1729

Abstract

The success of creative startups is influenced by various factors, including the role of social networks and social support. As these ventures typically involve innovative ideas and high uncertainty, the social connections entrepreneurs establish can provide essential resources, knowledge, and emotional support. Understanding the impact of these social relationships on startup success is critical for entrepreneurs, investors, and policymakers aiming to foster a conducive environment for growth in creative industries. This study aims to explore the influence of social networks and social support on the success of creative startups. It seeks to identify the types of social support that entrepreneurs rely on, the networks they engage with, and how these factors contribute to their business growth and sustainability. A mixed-methods approach was employed, combining both quantitative and qualitative research methods. Data was collected through surveys of 100 creative entrepreneurs in Indonesia, followed by in-depth interviews with 15 startup founders. The analysis involved statistical techniques to identify patterns in network usage and social support, alongside thematic coding for qualitative insights. The findings reveal that social support, particularly from professional networks and mentorship, is crucial for overcoming challenges in the early stages of startup development. Entrepreneurs with strong connections to industry peers, investors, and mentors reported higher levels of success in securing funding and achieving market growth. Emotional support from family and friends was also found to play a significant role in maintaining resilience and motivation. Social networks and support systems are essential drivers of success for creative startups. Entrepreneurs who actively cultivate these networks tend to navigate challenges more effectively and sustain long-term business growth.
Topological Quantum Computation Using Majorana Fermions in Nanowire Networks: A Theoretical Feasibility Study Judijanto, Loso; Zaman, Khalil; Ali, Zara
Journal of Tecnologia Quantica Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i4.2793

Abstract

Topological quantum computation offers a promising pathway toward fault-tolerant quantum information processing, with Majorana fermions emerging as key quasiparticles capable of encoding quantum states protected from local decoherence. Nanowire networks engineered to host Majorana zero modes have been widely proposed, yet their practical feasibility requires rigorous theoretical assessment under realistic physical constraints. This study aims to evaluate the theoretical viability of implementing topological quantum computation using Majorana fermions in semiconductor–superconductor nanowire networks. A modeling framework incorporating Bogoliubov–de Gennes equations, topological phase diagrams, non-Abelian braiding protocols, and disorder-induced perturbations is employed to assess stability and control requirements. Simulations investigate parameter regimes involving magnetic field strength, spin–orbit coupling, proximity-induced superconductivity, and wire-junction geometries. The results show that stable Majorana modes can be achieved within narrow but experimentally accessible parameter windows, and that non-Abelian braiding operations remain topologically robust against moderate disorder and quasiparticle poisoning. The study concludes that while significant engineering challenges persist—particularly regarding temperature constraints, material uniformity, and junction coherence—Majorana-based topological quantum computation remains theoretically feasible with current technological progress.
THE USE OF ARTIFICIAL INTELLIGENCE FOR PREDICTING COFFEE BEAN QUALITY BASED ON DIGITAL IMAGES AND SENSOR DATA Silamat, Eddy; Zaman, Khalil; Akhtar, Shazia
Techno Agriculturae Studium of Research Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i3.2442

Abstract

The increasing global demand for high-quality coffee requires more efficient and objective methods to evaluate bean quality. Traditional sensory and manual inspection techniques are time-consuming, subjective, and prone to inconsistency. This study aims to develop and validate an Artificial Intelligence (AI)-based predictive model for assessing coffee bean quality using digital image processing and sensor data. The research employs a quantitative experimental approach by integrating convolutional neural networks (CNNs) for visual analysis and machine learning regression models to process multispectral sensor data related to moisture, color, and aroma parameters. A dataset of 5,000 labeled coffee bean samples from three regional plantations was used for training and validation. The results demonstrate that the hybrid AI model achieved an accuracy rate of 96.8% in predicting bean grades compared to expert cupping scores, outperforming traditional visual grading methods by 18%. Furthermore, the integration of digital imaging and IoT-based sensors significantly reduced evaluation time and human error. The findings highlight AI’s potential to revolutionize coffee quality control by enabling automated, consistent, and scalable assessment systems that support sustainable agricultural practices.
Sustainable Tourism Post-Pandemic: A Mini-Review of Best Practices for "New Normal" Destinations in Bali Anneke W, Jeanny Pricilia; Khan, Jamil; Zaman, Khalil
Journal of Multidisciplinary Sustainability Asean Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v2i6.2813

Abstract

Background. The COVID-19 pandemic has had a profound impact on the global tourism industry, particularly in popular destinations like Bali, Indonesia. As the world begins to recover, tourism faces the challenge of adapting to a "new normal" that prioritizes sustainability, health protocols, and local community involvement. This mini-review explores best practices for sustainable tourism in Bali, focusing on how destinations can adapt post-pandemic while ensuring long-term environmental, social, and economic benefits. Purpose. The primary aim of this study is to assess the sustainability strategies implemented by Bali's tourism sector in the aftermath of the pandemic.   Method. A qualitative review was conducted, examining existing literature, government reports, and case studies of sustainable tourism practices in Bali. The review identifies key areas such as eco-tourism, community-based tourism, and the integration of health and safety standards into tourism operations. Results. The findings highlight that Bali has begun to implement a range of sustainable practices, including the promotion of eco-friendly accommodations, the development of responsible tourism guidelines, and the involvement of local communities in decision-making. However, challenges such as over-tourism, waste management, and the need for further collaboration among stakeholders remain. Conclusion. In conclusion, Bali’s tourism sector is taking positive steps toward sustainability post-pandemic, but continued efforts are required to ensure resilience and long-term success. Further research and investment in sustainable tourism infrastructure, coupled with local and global cooperation, will be crucial to the future of Bali as a "new normal" destination.
INCLUSIVE EDUCATION IN PRIMARY SCHOOLS: EVIDENCE-BASED STRATEGIES FOR SUPPORTING LEARNERS WITH SPECIAL EDUCATIONAL NEEDS Khan, Jamil; Khan, Razia; Zaman, Khalil; Ismu Purwaningsih, Dewi
International Journal of Educatio Elementaria and Psychologia Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijeep.v3i1.3424

Abstract

Inclusive education in primary schools has become a central priority in global education agendas, emphasizing the right of learners with special educational needs to access quality education within mainstream classrooms. Despite strong policy commitments, effective classroom-level implementation remains uneven, highlighting the need for evidence-based strategies that translate inclusion principles into practice. This study aims to identify and examine evidence-based instructional and organizational strategies that effectively support learners with special educational needs in inclusive primary school settings. The study employed a mixed-methods design combining systematic evidence review, classroom observations, semi-structured interviews, and analysis of school documents across multiple inclusive primary schools. Quantitative descriptive and inferential analyses were integrated with qualitative thematic analysis to examine strategy implementation and learner outcomes. The findings indicate that differentiated instruction, individualized support services, and collaborative teaching practices significantly enhance learner participation, engagement, and classroom inclusion. Inferential analysis demonstrates that higher levels of strategy implementation are associated with stronger learner engagement, while qualitative findings reveal improved peer interaction, confidence, and instructional responsiveness. The study concludes that inclusive education is most effective when evidence-based strategies are implemented coherently and systematically. Sustainable inclusion in primary schools requires alignment between empirical evidence, instructional practice, and institutional support to ensure equitable learning opportunities for learners with special educational needs.
Co-Authors Abul Walid Agnita Yolanda, Agnita Akhtar, Shazia Ali, Zara Andary, Ria Wuri Angglena, Melly Angkur, Maria Fatima Mardina Anis, Nina Anneke W, Jeanny Pricilia Aziz, Safiullah Dewi, Rosa Eddy Silamat, Eddy Firdaus, Anang Ilma Saakinah Tamsil Indra Permana, Indra Ismu Purwaningsih, Dewi Joni Bungai, Joni Judijanto, Loso Khan, Jamil Khan, Omar Khan, Razia Lim, Sofia Nampira, Ardi Azhar Sun Wei