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p-Index From 2021 - 2026
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All Journal Journal of Tecnologia Quantica Journal of Loomingulisus ja Innovatsioon Journal of Early Childhood Education and Teaching
Hakobyan, Aram
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Religion Computer Science & IT Environmental Science Law, Crime, Criminology & Criminal Justice Physics Social Sciences Other

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Development of Innovative Products Based on Local Wisdom to Increase the Competitiveness of MSMEs Galstyan, Levon; Hakobyan, Aram; Guliyeva, Leyla
Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v2i2.1976

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in the economic development of many countries, including Indonesia. However, MSMEs often face challenges in enhancing competitiveness, especially in the global market. One potential solution lies in the development of innovative products based on local wisdom, which can add unique value and appeal. This study aims to explore how MSMEs can develop innovative products based on local wisdom to enhance their competitiveness. Specifically, it investigates the integration of local cultural values, traditional knowledge, and sustainable practices into product design and development processes within MSMEs. This research employs a qualitative case study approach, focusing on several MSMEs in Indonesia that have successfully incorporated local wisdom into their product offerings. Data was collected through interviews with business owners, product designers, and local community members, along with field observations. The study also analyzed secondary data from industry reports and market trends. The findings indicate that MSMEs that integrate local wisdom into their products can significantly improve their market differentiation and appeal. The study identifies key factors such as cultural authenticity, sustainable sourcing, and the ability to tell a compelling product story as essential to enhancing competitiveness.
The Impact of Open-Ended Learning on 21st-Century Skill Acquisition in Early Learners Puji, Chintya; Hakobyan, Aram
Journal of Early Childhood Education and Teaching (JECET) Vol. 1 No. 2 (2025): Journal of Early Childhood Education and Teaching
Publisher : CV Berkah Syahdin Trust

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64840/jecet.v1i2.42

Abstract

Purpose – This study aims to evaluate the effectiveness of an open-ended learning model based on 21st-century skills in enhancing the learning experiences of early childhood learners. In today’s dynamic educational landscape, integrating critical thinking, creativity, communication, and collaboration into early learning is essential to prepare children for future challenges.Design/methods/approach – The research employed a quantitative method using structured questionnaires distributed through Google Forms to early childhood educators. Data were collected in numerical form and analyzed using SPSS, with results displayed through tables and graphs. The approach enabled a comprehensive assessment of how the open-ended learning model supports the development of 21st-century skills in young children. Findings – The findings show that the open-ended learning model based on 21st-century skills is effective in enhancing early childhood learners’ engagement and skill acquisition. Children demonstrated improvements in critical thinking, problem-solving, and communication. The model created opportunities for children to express ideas creatively and independently through open problem-solving activities. Research implications/limitations – This study is limited by its small sample size and focused context. Further research should explore long-term implementation across various settings and include observational data to support self-reported measures. Originality/value – This research offers valuable insights into the application of open-ended learning in early childhood education. It underscores the importance of integrating 21st-century skills into early learning practices and provides educators with practical strategies for fostering creativity, collaboration, and independent thinking in young learners.
Adaptive Quantum State Tomography: Reconstructing High-Dimensional States with Minimal Measurements Hakobyan, Aram; González, Carlos; Mohamed, Ali
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.v3i1.3582

Abstract

Quantum state tomography is essential for characterizing quantum systems, yet conventional methods suffer from exponential scaling in measurement requirements, limiting their applicability in high-dimensional systems. Efficient reconstruction of quantum states with minimal measurements has become a critical challenge in advancing quantum information technologies. This study aims to develop and evaluate an adaptive quantum state tomography framework capable of reconstructing high-dimensional quantum states with reduced measurement resources while maintaining high accuracy. A theoretical–computational approach was employed, integrating Bayesian adaptive measurement strategies with convex optimization–based reconstruction algorithms. Simulations were conducted across varying system dimensions, state types, and noise conditions to assess performance. The results indicate that the proposed adaptive method significantly reduces the number of required measurements by up to 75% while achieving reconstruction fidelity comparable to full tomography. The approach demonstrates strong robustness under moderate noise and exhibits faster convergence compared to compressed sensing techniques. These findings suggest that adaptive quantum state tomography provides an efficient and scalable solution for quantum state reconstruction. This study concludes that integrating adaptive measurement selection with optimized reconstruction algorithms can overcome fundamental scalability challenges and support the development of practical quantum technologies.
Co-Authors Galstyan, Levon González, Carlos Guliyeva, Leyla mohamed, ali Puji, Chintya