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All Journal Journal of Computer Science Advancements Journal of Noesantara Islamic Studies Journal of Moeslim Research Technik Journal of Selvicoltura Asean Journal of Tecnologia Quantica Techno Agriculturae Studium of Research Research of Scientia Naturalis Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology
Miku Fujita
University of Kyoto
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Physics Other

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DIGITAL CREATIVITY AND SOCIAL VALUE CREATION: ENTREPRENEURIAL STRATEGIES IN TECHNOLOGY-DRIVEN COMMUNITIES Eko Cahyo Mayndarto; Ren Suzuki; Miku Fujita; Indra Dermawan
Journal of Social Entrepreneurship and Creative Technology Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v3i2.3631

Abstract

The rise of digital technologies has revolutionized entrepreneurial strategies, enabling the integration of creativity into business models that address social challenges. Digital creativity is now a vital tool for fostering social value in technology-driven communities. This research explores how entrepreneurs leverage digital creativity to create social value, focusing on sectors such as health, sustainability, and cultural preservation. The study aims to investigate the relationship between digital creativity and social value creation within entrepreneurial strategies. A qualitative approach was employed, utilizing case studies, semi-structured interviews, and document analysis of 10 digital platforms from various technology-driven sectors. The findings reveal that digital creativity not only contributes to business success but also facilitates community engagement, empowerment, and the development of social initiatives. Platforms with a focus on transparency and active community participation showed higher levels of social value creation, particularly in health and sustainability sectors. The study concludes that digital creativity in entrepreneurial strategies is an effective driver of social change and can contribute to sustainable development. Furthermore, the research emphasizes the importance of balancing profit with social impact, offering a framework for integrating digital creativity into business practices for broader societal benefits.
NANOFABRICATION STRATEGIES FOR ARTIFICIAL CELLS, TISSUES, AND ORGANS Silva Fitri; Miku Fujita; Daiki Nishida
Journal of Biomedical and Techno Nanomaterials Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v3i2.4073

Abstract

Nanofabrication techniques have emerged as pivotal tools in the creation of artificial cells, tissues, and organs, which hold the potential to revolutionize regenerative medicine and organ transplantation. The ability to precisely engineer materials at the nanoscale allows for the replication of biological structures, enabling the development of functional tissue replacements and therapeutic devices. Traditional methods in tissue engineering often face challenges in mimicking the complexity of natural tissues and organs, leading to suboptimal functionality and biocompatibility. This study investigates various nanofabrication strategies used in the development of artificial cells, tissues, and organs, with an emphasis on their applications in biomedical fields. The main objective of this research is to assess the effectiveness of different nanofabrication approaches, such as 3D printing, self-assembly, and nanolithography, in replicating the architecture and functionality of human tissues. In vitro and in vivo models are employed to evaluate the biocompatibility, structural integrity, and functional performance of fabricated constructs. The results indicate that nanofabricated systems show significant promise in replicating the mechanical, biochemical, and cellular properties of natural tissues. In conclusion, nanofabrication offers an innovative approach to the creation of functional artificial tissues and organs, which could significantly impact the future of medical treatments, particularly in tissue regeneration and transplantation.
ALGORITHMIC INTELLIGENCE IN ENGINEERING DESIGN: INTEGRATING MACHINE LEARNING WITH PHYSICAL MODELING Fauzi Erwis; Miku Fujita; I Putu Dody Suarnatha; Amanda Wilson
Journal of Moeslim Research Technik Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v3i2.3467

Abstract

Increasing complexity in engineering systems demands design methodologies that balance computational efficiency, predictive accuracy, and physical reliability. Traditional physics-based simulations ensure mechanistic consistency but are computationally expensive, while purely data-driven machine learning models offer speed yet often lack interpretability and physical compliance. Integrating algorithmic intelligence with physical modeling has therefore emerged as a promising paradigm in advanced engineering design. This study aims to develop and evaluate a hybrid framework that integrates machine learning algorithms with governing physical equations to enhance design performance, robustness, and computational efficiency. A mixed-methods computational design was employed using 15,000 high-fidelity simulation datasets across structural, aerodynamic, and thermal engineering cases. Three modeling configurations—physics-based models, data-driven models, and hybrid physics-informed machine learning models—were comparatively analyzed using performance metrics including mean squared error, R², runtime efficiency, robustness testing, and constraint violation indices. Statistical analyses were conducted to determine significance of performance differences. Hybrid models achieved superior balance, reaching R² = 0.97 with significantly reduced runtime compared to physics-based simulations (p < 0.001), while maintaining substantially lower physical constraint violations than purely data-driven models. Sensitivity and uncertainty analyses confirmed enhanced robustness under parameter perturbation. Algorithmic intelligence integrated with physical modeling represents an epistemologically coherent and practically effective approach, advancing engineering design toward trustworthy, efficient, and physically consistent computational frameworks.
Biodiversity Hotspots and Conservation Priorities in Tropical Asia Haruto Takahashi; Miku Fujita; Daiki Nishida
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.v1i5.1667

Abstract

Tropical Asia is home to a rich diversity of species and ecosystems, yet it faces significant threats from habitat loss, climate change, and human activities. Identifying biodiversity hotspots in this region is crucial for prioritizing conservation efforts and ensuring the protection of unique species and habitats. This research aims to evaluate biodiversity hotspots in tropical Asia and establish conservation priorities based on ecological significance and vulnerability. The study seeks to provide actionable recommendations for policymakers and conservationists to enhance biodiversity preservation in these critical areas. A spatial analysis was conducted using geographic information systems (GIS) to map biodiversity hotspots across tropical Asia. Data from various sources, including species distribution records and habitat assessments, were analyzed to identify regions with high biodiversity and significant conservation needs. Stakeholder interviews were also conducted to gather insights on local conservation challenges. The findings revealed several key biodiversity hotspots, including the Indo-Burma region and the Sundaland region, which are critically endangered due to deforestation and habitat fragmentation. The analysis indicated that targeted conservation efforts in these areas could significantly enhance species protection and ecosystem resilience. This study concludes that prioritizing conservation actions in identified biodiversity hotspots is essential for mitigating biodiversity loss in tropical Asia. Collaborative efforts among governments, NGOs, and local communities are vital to developing effective conservation strategies that address both ecological and socio-economic challenges.
Quantum Simulation of Complex Molecular Dynamics Using Quantum Annealing Haruka Sato; Ren Suzuki; Miku Fujita
Journal of Tecnologia Quantica Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i5.1684

Abstract

Quantum simulation of complex molecular dynamics using quantum annealing has great potential to solve complex and complex molecular simulation problems. Quantum annealing, which optimizes the search for solutions in the energy space by utilizing quantum phenomena, offers advantages in speeding up the simulation process compared to classical methods. This study aims to explore the use of quantum annealing in complex molecular simulations, focusing on its effectiveness in finding molecular configurations with minimum energy. The method used involves simulation experiments using quantum annealing hardware and comparing the results with classical simulations. The results show that quantum annealing can improve computational time efficiency and produce more accurate solutions on large molecules with complex interactions. Although there are some limitations of current quantum hardware, the results of this study show the great potential for the use of quantum annealing in molecular dynamics simulations. Further research needs to be focused on improving quantum hardware and developing more advanced algorithms to support more complex molecular simulations.
DEVELOPMENT OF AN IOT-BASED AUTOMATED DRIP IRRIGATION AND FERTIGATION SYSTEM FOR CHILI FARMING IN ARID REGIONS OF EAST JAVA Miku Fujita; Yui Nakamura; Kaito Tanaka
Techno Agriculturae Studium of Research Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i5.2960

Abstract

Chili farming in arid regions of East Java faces persistent challenges related to water scarcity, inefficient irrigation practices, and inconsistent nutrient managment, which negatively affect crop productivity and farmers’ livelihoods. Traditional irrigation methods often result in excessive water use and uneven fertilizer distribution, limiting plant growth and increasing production costs. Recent advances in Internet of Things (IoT) technology offer promising solutions for precision agriculture by enabling automated, data-driven irrigation and fertigation systems tailored to specific crop and environmental conditions. This study aims to develop and evaluate an IoT-based automated drip irrigation and fertigation system designed for chili farming in arid areas of East Java. The system is intended to optimize water and nutrient usage while improving crop growth and resource efficiency. The research adopts a research and development (R&D) approach combined with experimental field testing. The system integrates soil moisture sensors, temperature and humidity sensors, nutrient solution controllers, and an IoT microcontroller connected to a cloud-based monitoring platform. The system was tested in selected chili farms over one growing season, with performance evaluated based on water consumption, fertilizer efficiency, plant growth indicators, and yield outcomes. The results indicate that the IoT-based system reduced water usage by approximately 30% and fertilizer consumption by 25% compared to conventional irrigation methods. Chili plants managed under the automated system showed more uniform growth, improved plant health, and a yield increase of 20%. Farmers also reported improved ease of irrigation management and real-time monitoring capabilities. The study concludes that IoT-based automated drip irrigation and fertigation systems are effective in enhancing water efficiency, nutrient management, and chili crop productivity in arid regions. The system demonstrates strong potential for supporting sustainable agriculture and climate-resilient farming practices in East Java.
THE QUBIT PARADOX: WHY MORE QUBITS ACTUALLY LOWER ERROR RATES? Miku Fujita; Ren Suzuki; Daiki Nishida
Journal of Computer Science Advancements Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i5.3329

Abstract

Physical qubits intuitively introduces greater cumulative noise and control complexity. This “Qubit Paradox” presents a fundamental barrier to scalability, suggesting that larger systems might become inherently less stable. This research aims to rigorously validate the threshold theorem, defining the precise boundary where topological protection overcomes physical noise accumulation. We utilized high-fidelity Monte Carlo simulations of Rotated Surface Codes, scaling from distance d=3 to d=9, under realistic circuit-level noise models including leakage and crosstalk. Decoding was executed using the Minimum Weight Perfect Matching (MWPM) algorithm to analyze logical failure rates across 109 error correction cycles. Results identify a critical physical error threshold of approximately 0.57%. Below this value, logical error rates exhibited exponential suppression via power-law decay, reducing by seven orders of magnitude at distance-9. Conversely, systems operating above this threshold demonstrated error amplification with increased scale. We conclude that the paradox resolves only when individual gate fidelity surpasses the threshold, mandating that hardware optimization must precede quantitative scaling. These findings establish a validated roadmap for the transition from the NISQ era to fault-tolerant architecture.
WIRELESS COMMUNICATION TECHNOLOGIES ENABLING RELIABLE INTERNET OF THINGS SMART FARMING APPLICATIONS Hamid Wijaya; Miku Fujita; Daiki Nishida
Journal of Computer Science Advancements Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v4i1.3399

Abstract

The rapid expansion of smart farming systems has intensified the need for reliable wireless communication infrastructures capable of supporting Internet of Things (IoT) applications in heterogeneous agricultural environments. Ensuring stable connectivity in rural areas characterized by large coverage demands, energy constraints, and environmental interference remains a critical challenge. This study aims to evaluate wireless communication technologies and identify optimal configurations that enable reliable IoT-based smart farming operations. A mixed-method research design integrating large-scale field experiments and simulation-based scalability analysis was employed to assess LoRaWAN, NB-IoT, Zigbee, Wi-Fi, and 5G IoT modules. Reliability was measured using packet delivery ratio, latency, coverage range, scalability, and energy consumption indicators. Results indicate that no single technology achieves optimal performance across all reliability dimensions. LPWAN technologies demonstrated superior energy efficiency and wide-area coverage, while 5G achieved the lowest latency and highest throughput. Hybrid communication architectures consistently outperformed single-technology deployments, improving packet delivery ratio and operational resilience under varying environmental conditions. The study concludes that context-aware integration of complementary wireless technologies provides the most reliable and sustainable solution for smart farming IoT ecosystems.
SOFTWARE DEFINED NETWORKING ARCHITECTURE FOR ENTERPRISE COMPUTER NETWORKS PERFORMANCE OPTIMIZATION Miku Fujita; Daiki Nishida; Setiawan Setiawan
Journal of Computer Science Advancements Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v4i2.3783

Abstract

The increasing complexity and demands of modern enterprise networks have highlighted the limitations of traditional network management systems. Network performance issues such as latency, congestion, and inefficient resource allocation have become significant challenges for businesses that rely on high-speed, reliable communication. Software Defined Networking (SDN) architecture has emerged as a promising solution to these challenges, offering centralized control, flexibility, and real-time optimization. This study investigates the impact of SDN architecture on the performance optimization of enterprise computer networks. The research aims to assess how SDN can improve network throughput, reduce latency, and enhance overall network efficiency in large-scale enterprise environments. A mixed-methods approach was employed, using both quantitative performance metrics and qualitative feedback from network administrators and IT managers. The results show a significant improvement in key network performance indicators, with throughput increasing by 30%, latency decreasing by 25%, and packet loss reducing by 18% after the implementation of SDN. The study concludes that SDN is a highly effective approach for optimizing network performance, offering greater scalability, security, and efficiency in enterprise settings. SDN enables real-time, dynamic network management, making it a crucial technology for modernizing enterprise network infrastructure.
Inorganic Nanoparticles for Drug Delivery Systems: Design and Challenges Dadang Muhammad Hasyim; Miku Fujita; Arnes Yuli Vandika
Research of Scientia Naturalis Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i4.1578

Abstract

Inorganic nanoparticles have gained attention in drug delivery systems due to their unique properties, including high surface area, biocompatibility, and the ability to encapsulate therapeutic agents. These characteristics make them promising candidates for enhancing drug efficacy and targeting. This research aims to explore the design parameters and challenges associated with inorganic nanoparticles in drug delivery applications. The focus is on understanding how modifications in nanoparticle design can optimize performance and address existing limitations. A comprehensive literature review was conducted alongside experimental assessments of various inorganic nanoparticle formulations. Key parameters such as size, surface charge, and drug loading capacity were evaluated to assess their impact on drug delivery efficiency. In vitro studies were performed to analyze drug release profiles and cellular uptake.The findings indicate that specific design modifications significantly influence drug delivery performance. For example, smaller nanoparticles with positive surface charges exhibited enhanced cellular uptake and higher drug loading capacities. However, challenges such as stability, scalability, and regulatory hurdles remain prevalent in the field. Inorganic nanoparticles hold great potential for advancing drug delivery systems, but addressing associated design challenges is crucial. Continued research in this area will facilitate the development of more effective and safer drug delivery solutions, ultimately improving therapeutic outcomes for patients.  
Co-Authors Amanda Wilson Ardi Azhar Nampira Arnes Yuli Vandika Dadang Muhammad Hasyim Daiki Nishida Daiki Nishida Fauzi Erwis Hamid Wijaya Haruka Sato Haruto Takahashi I Putu Dody Suarnatha Indra Dermawan Kaito Tanaka Loso Judijanto Mayndarto, Eko Cahyo Pipit Sundari Ren Suzuki Setiawan Setiawan Silva Fitri Wijaya Wijaya Yui Nakamura