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All Journal International Journal of Educational Narratives Journal of Moeslim Research Technik Journal of Loomingulisus ja Innovatsioon Cognitionis Civitatis et Politicae 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
Kaito Tanaka
Keio University
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 Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Social Sciences Other

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GOVERNMENT COMMUNICATION STRATEGIES IN THE AGE OF SOCIAL MEDIA POLITICS Sudarti Sudarti; Kaito Tanaka; Riko Kobayashi
Cognitionis Civitatis et Politicae Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/politicae.v3i2.3774

Abstract

Government communication strategies have undergone significant transformation with the advent of social media, changing how governments interact with their citizens. In an era where social media has become a primary platform for political discourse, governments are adopting new communication approaches to foster engagement, transparency, and public participation. This study aims to explore the effectiveness of government communication strategies on social media, comparing their impact in both democratic and authoritarian regimes. The research examines how different governments utilize social media platforms like Facebook, Twitter, and Instagram to convey messages, interact with the public, and influence political behavior. A qualitative research design was employed, utilizing content analysis and expert interviews across four countries: the United States, Brazil, the United Kingdom, and China. The findings indicate that democratic governments engage more successfully with the public through transparent, interactive posts, fostering higher levels of trust and participation. In contrast, authoritarian governments utilize social media primarily as a tool for broadcasting state-controlled messages with minimal public engagement. The study concludes that government communication strategies should prioritize transparency and interactivity to enhance public engagement and trust in democratic societies, while authoritarian regimes may benefit from adopting more participatory approaches to improve public communication.
Digital Storytelling and STEM Identity: A Narrative Inquiry of Female High School Students in Japan Kaito Tanaka; Riko Kobayashi; Haruka Sato
International Journal of Educational Narratives Vol. 3 No. 3 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v3i3.2208

Abstract

Background. Despite Japan’s global reputation for technological innovation, female representation in science, technology, engineering, and mathematics (STEM) fields remains disproportionately low. Cultural expectations, gender norms, and limited role models contribute to the underrepresentation of young women in STEM pathways. Purpose. This study explores how digital storytelling can serve as a transformative pedagogical tool to support the development of STEM identity among female high school students in Japan. Method. Using a qualitative narrative inquiry approach, the study engaged 15 female students aged 16–18 from three urban high schools. Participants created and reflected on personal digital stories that connected their lived experiences with STEM-related aspirations, interests, or challenges. Results. Data were collected through digital artifacts, in-depth interviews, and reflective journals, then analyzed thematically. Findings reveal that digital storytelling enabled participants to articulate their evolving sense of agency, challenge internalized gender stereotypes, and envision themselves in future STEM careers.  The process fostered increased confidence, self-recognition as potential STEM contributors, and a sense of belonging in scientific discourse. Conclusion. This study demonstrates the potential of narrative-based, multimodal learning tools in reshaping STEM identity formation for underrepresented groups. It contributes to feminist pedagogy and STEM education research through the intersection of narrative, identity, and digital media.  
Parallel Processing System Optimization in High-Performance Computing for Fluid Simulation Sota Yamamoto; kaito Tanaka; Arnes Yuli Vandika
Journal of Moeslim Research Technik Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v1i6.1565

Abstract

The growing complexity of fluid simulations in computational science necessitates the use of high-performance computing (HPC) systems. Efficient processing is critical for handling large datasets and complex algorithms, particularly in fields such as aerospace, meteorology, and biomedical engineering. Existing parallel processing methods often face limitations in scalability and resource utilization. This research aims to optimize parallel processing systems for high-performance computing applications in fluid simulations. The study focuses on enhancing computational efficiency and reducing execution time while maintaining accuracy in simulations. A multi-faceted approach was employed, combining algorithmic improvements with architectural enhancements. The research involved implementing advanced parallelization techniques, such as domain decomposition and load balancing, on a cluster of HPC nodes. Performance metrics were collected to evaluate the impact of these optimizations on simulation speed and resource utilization. The optimized system demonstrated a significant reduction in execution time, achieving up to a 60% improvement compared to baseline performance. Enhanced load balancing techniques resulted in more efficient resource distribution, leading to improved overall system performance. Accuracy of the fluid simulations remained consistent with previous results, validating the effectiveness of the optimizations. The study concludes that optimizing parallel processing systems significantly enhances the efficiency of fluid simulations in HPC environments. The findings provide valuable insights for researchers and practitioners seeking to improve computational performance in complex simulations. Future work should explore further optimizations and the integration of emerging technologies to continue advancing the capabilities of fluid simulation in high-performance computing
Developing a Creative Curriculum to Cultivate Elementary School Students’ Interest in Learning Sota Yamamoto; kaito Tanaka; Ren Suzuki
Journal of Loomingulisus ja Innovatsioon Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v1i5.1712

Abstract

The interest in learning among elementary school students is a critical factor in shaping their academic success and lifelong learning attitudes. However, traditional teaching methods often fail to engage students, leading to a decline in their enthusiasm for learning. This study aims to develop a creative curriculum designed to cultivate elementary school students’ interest in learning by incorporating interactive and student-centered learning activities. The research employs a mixed-methods approach, combining qualitative data from classroom observations and interviews with teachers and students, along with quantitative data from pre- and post-intervention surveys measuring student engagement and interest in learning. The findings suggest that the implementation of a creative curriculum significantly increased students’ interest in learning across various subjects, with noticeable improvements in student participation, curiosity, and motivation. Teachers also reported higher levels of engagement and enthusiasm during lessons. This study concludes that a creative curriculum can effectively enhance students’ interest in learning by fostering a more dynamic, interactive, and personalized learning environment. The implications of this research highlight the importance of adopting innovative teaching strategies to ensure that students develop a lasting interest in their education.
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.
PLANT–SOIL–MICROBE INTERACTIONS REVISITED: MECHANISTIC INSIGHTS FROM BIOMOLECULAR AND ECOLOGICAL INTEGRATION Park Jihoon; Adelina Siregar; Kaito Tanaka; Michael Davis
Research of Scientia Naturalis Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i1.3468

Abstract

Plant–soil–microbe interactions underpin nutrient cycling, ecosystem productivity, and resilience under environmental change. Despite advances in rhizosphere ecology and molecular biology, integration between biomolecular processes and ecosystem-level dynamics remains fragmented. This study aims to develop and empirically validate a mechanistic framework linking gene expression, metabolite exchange, microbial functional traits, and ecological outcomes across controlled and field contexts. A multi-scale design combined greenhouse factorial experiments with field validation, integrating metagenomics, metatranscriptomics, metabolomics, soil nutrient assays, and ecological network modeling. Structural equation modeling and multivariate analyses were applied to identify causal pathways among root exudation, microbial functional gene abundance, nutrient availability, and plant biomass. Results demonstrate that functional gene abundance (? = 0.46, p < 0.001) and root metabolite diversity (? = 0.39, p < 0.01) significantly predict plant productivity, while network analysis identifies organic acids and nitrogen-fixing taxa as keystone interaction nodes. Drought treatments induced coordinated upregulation of stress-response genes and metabolite adjustments, partially buffering productivity losses. The study concludes that rhizosphere resilience emerges from tightly coupled biomolecular and ecological feedback mechanisms. Integrative multi-omics combined with ecological modeling enhances predictive understanding of ecosystem function under environmental variability.
BEYOND SPECIES RICHNESS: QUANTIFYING FUNCTIONAL BIODIVERSITY THROUGH MATHEMATICAL ECOLOGY Yang Xiang; Kaito Tanaka; Lena Hoffmann
Research of Scientia Naturalis Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i1.3540

Abstract

Biodiversity has traditionally been assessed through species richness, yet this approach often fails to capture the functional roles that determine ecosystem processes and resilience. Increasing ecological evidence indicates that ecosystems with similar species counts may differ substantially in functional composition, leading to divergent ecological outcomes. This study aims to develop a mathematical ecology framework that quantifies functional biodiversity by integrating trait-based analysis with nonlinear modeling. The research employs a quantitative design combining secondary ecological datasets, multidimensional trait space construction, and computational modeling to evaluate relationships between functional diversity and ecosystem performance. Results demonstrate that functional richness, evenness, and divergence significantly predict ecosystem productivity and stability, while species richness shows limited explanatory power. Nonlinear analysis reveals threshold effects and complex interactions, indicating that functional trait composition governs ecosystem responses to environmental change. Functional diversity also shapes network structure, enhancing system resilience through redundancy and complementarity among traits. The study concludes that functional biodiversity provides a more comprehensive and predictive measure of ecological complexity than species richness alone. Integration of mathematical ecology with trait-based approaches offers a robust analytical framework for advancing biodiversity research and informing conservation strategies.
IDENTIFICATION OF NON-INVASIVE BIOMARKERS FOR EARLY DETECTION OF OVARIAN CANCER Haruto Takahashi; Kaito Tanaka; Luis Santos
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.v2i2.2017

Abstract

Ovarian cancer is one of the most lethal gynecologic malignancies due to late diagnosis. Early detection is critical for improving survival rates, yet current screening methods are inadequate. To identify and validate non-invasive biomarkers for the early detection of ovarian cancer, focusing on improving diagnostic accuracy and patient outcomes. This study utilized proteomic and genomic approaches, including mass spectrometry for protein profiling and next-generation sequencing for analyzing cfDNA and miRNAs. Blood samples from patients with early-stage ovarian cancer, healthy controls, and individuals with benign conditions were analyzed. The combination of CA-125 and HE4 biomarkers significantly increased sensitivity (85%) and specificity (90%) for early detection of ovarian cancer compared to CA-125 alone. Proteomic analysis identified significant differences in protein profiles between cancer patients and healthy controls. Genomic analysis revealed specific mutations in cfDNA associated with ovarian cancer. The study demonstrates that a combination of CA-125 and HE4, along with multi-omic approaches, can enhance the early detection of ovarian cancer, providing a basis for the development of more accurate diagnostic tests. Further clinical trials are necessary to validate these findings.
THE INFLUENCE OF COMPANY CULTURE ON STARTUP FINANCIAL PERFORMANCE Indra Wijaya; Kaito Tanaka; Herdi Herdi
Journal of Social Entrepreneurship and Creative Technology Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v2i2.2058

Abstract

The culture within a company is increasingly recognized as a critical factor influencing its overall performance, particularly in startups where innovation, adaptability, and employee engagement are crucial to success. While numerous studies have explored the relationship between company culture and organizational outcomes, limited research has focused specifically on the financial performance of startups. This research aims to examine the influence of company culture on the financial performance of startups, identifying key cultural elements that drive profitability, growth, and long-term sustainability. A mixed-methods approach was employed, combining quantitative data from financial performance metrics of 50 startups with qualitative insights gathered through interviews with founders and key employees. The findings suggest a strong correlation between positive company culture—characterized by open communication, employee empowerment, and a collaborative environment—and higher financial performance. Startups with a culture of innovation and continuous learning tend to achieve greater revenue growth and profitability, while those with hierarchical and rigid cultures face challenges in scaling. The study concludes that fostering a supportive, flexible, and innovative company culture is essential for startup success, particularly in fast-paced and competitive industries. This research contributes to a deeper understanding of the intangible factors that drive financial outcomes in startups, offering valuable insights for entrepreneurs seeking to enhance both organizational culture and financial performance.
NAVIGATING RADICAL DISRUPTION: A DYNAMIC CAPABILITIES PERSPECTIVE ON ORGANIZATIONAL RESILIENCE AND DIGITAL PIVOT IN HIGH-VELOCITY MARKETS Kharis Adiputra; Umar Winarno; Suprayitno Suprayitno; Daniel Setiawan; Kaito Tanaka
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.v3i2.3860

Abstract

High-velocity markets are increasingly characterized by radical disruptions that challenge traditional organizational strategies and operational frameworks. Firms face continuous technological shocks, volatile customer demands, and competitive uncertainty, necessitating mechanisms that enable both rapid adaptation and sustained resilience. Understanding how organizations navigate these conditions is critical for maintaining competitiveness and long-term viability. The study aims to examine the interplay between dynamic capabilities and organizational resilience, focusing on the mediating role of digital pivot execution in high-velocity contexts. It seeks to elucidate the mechanisms through which sensing, seizing, and transforming capabilities are operationalized to enhance adaptive performance and strategic flexibility. A mixed-method research design was employed, integrating quantitative surveys from 112 organizations across technology, financial services, and e-commerce sectors with qualitative case studies and semi-structured interviews. Statistical analyses, including regression and structural equation modeling, were complemented by thematic coding of interview data to ensure contextual depth and triangulation. Results indicate that dynamic capabilities significantly enhance organizational resilience, with digital pivots functioning as a critical mediator. Sectoral differences reveal that technology firms leverage capabilities more effectively, whereas other industries require deliberate alignment strategies. Findings suggest that capability integration and strategic digital initiatives collectively drive adaptive performance. The study concludes that resilience is emergent from coordinated capability deployment and digital execution. Firms adopting integrated approaches demonstrate higher agility, operational continuity, and responsiveness to radical disruptions.
Co-Authors Adelina Siregar Arnes Yuli Vandika Daniel Setiawan Haruka Sato Haruto Takahashi Herdi Herdi I Wayan Rediyasa Indra Wijaya Kharis Adiputra Lena Hoffmann Luis Santos Michael Davis Miku Fujita Park Jihoon Ren Suzuki Riko Kobayashi Sota Yamamoto Sudarti Sudarti Suprayitno Suprayitno Umar Winarno Yang Xiang Yui Nakamura