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All Journal Journal of Computer Science Advancements Journal of Selvicoltura Asean Research of Scientia Naturalis Journal of Social Entrepreneurship and Creative Technology Journal of Multidisciplinary Sustainability Asean
Lucas Wong
Singapore Management University
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Library & Information Science Physics Other

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 1 
Decoupling Economic Growth from Ecological Impact: A Socio-Ecological Modeling of Small-Scale Fisheries in the Post-Pandemic Era Anna Dara; Lucas Wong; Ava Lee; Ziad Khalil
Journal of Multidisciplinary Sustainability Asean Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v3i2.3790

Abstract

Background Small-scale fisheries are vital for coastal communities but face increasing challenges from overfishing, degradation, and economic instability, all of which were exacerbated by the COVID-19 pandemic. Purpose This research aims to decouple economic growth from ecological impact in small-scale fisheries by creating a socio-ecological model that integrates both economic and ecological variables for sustainable management. Method The study employs a mixed-methods approach, combining socio-economic surveys, interviews with key stakeholders, and ecological data collection to build the integrated framework. Results Regions adopting sustainable practices demonstrated resilience in both ecological and economic recovery post-pandemic, while regions relying on unsustainable practices continued to face decline. Conclusion Long-term sustainability requires a balanced approach that combines financial incentives, sustainable practices, community engagement, and integrated policies supporting both economic recovery and environmental conservation.
GREEN JOBS AND ECOLOGICAL JUSTICE: THE FUTURE OF COMMUNITY-BASED FOREST MANAGEMENT THROUGH SOCIAL FORESTRY SCHEMES Ryan Teo; Lucas Wong; Megan Koh
Journal of Selvicoltura Asean Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i4.2740

Abstract

Global climate imperatives necessitate a transition to a Green Economy, placing Community-Based Forest Management (CBFM) at the forefront. However, existing Social Forestry (SF) schemes frequently prioritize conservation compliance over generating resilient, high-quality livelihoods, leading to persistent community precarity and equity concerns despite high participation rates. This study aims to systematically analyze the quality and stability of green jobs created within SF schemes and, critically, to develop a Green Jobs-Ecological Justice (GJEJ) Framework that links labor outcomes with the ethical tenets of Recognition, Participation, and equitable Distribution. A sequential explanatory mixed-methods design (QUAN to QUAL) was employed. The quantitative phase utilized a structured survey (N=450) to map job stability and demographic disparities. This was followed by qualitative case studies at four purposively selected sites (n=80 key informants) to investigate the institutional mechanisms of ecological justice. Findings revealed a 78% participation rate but a low overall Income Stability Index (45.9), concentrated in low-skill, seasonal labor. Inferential analysis demonstrated that the institutional Recognition of Local Ecological Knowledge significantly correlates with reduced income disparity (? = -0.38), whereas deficient Participation mechanisms reinforce existing demographic inequalities, particularly affecting women and youth. The study concludes that SF success is not determined by job volume but by the institutionalization of justice. The GJEJ Framework is proposed as the necessary policy tool to ensure the future of forest management is truly sustainable, resilient, and equitable.
COMMUNITY-BASED FOREST GOVERNANCE MODELS IN SOUTHEAST ASIA: BETWEEN LOCAL WISDOM AND STATE POLICY Ethan Tan; Ava Lee; Lucas Wong
Journal of Selvicoltura Asean Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v3i2.3757

Abstract

Southeast Asia’s forests are critical to both global biodiversity and local livelihoods. Yet, these ecosystems are under significant threat from deforestation, climate change, and unsustainable resource extraction. The governance of forest resources in the region remains a complex issue, as it involves the interaction between local communities’ traditional knowledge and practices, and state policies aimed at forest conservation and management. Understanding the dynamics of community-based forest governance models, which integrate local wisdom with state regulations, is crucial for achieving sustainable forest management. This study aims to examine the role of community-based forest governance models in Southeast Asia, with a particular focus on how local wisdom and state policy intersect. The research seeks to explore the challenges and opportunities in aligning indigenous governance practices with formal state policies for effective forest management. A qualitative approach was employed, utilizing case studies from various Southeast Asian countries, including Indonesia, Thailand, and the Philippines. Data were gathered through interviews with community leaders, government officials, and forest managers, as well as field observations. The findings highlight that while local communities possess valuable ecological knowledge, there are often conflicts with state policies that prioritize top-down forest management. However, successful models exist where collaboration between communities and state actors leads to more sustainable outcomes. The study underscores the importance of integrating local wisdom with state policies to create more effective and inclusive forest governance frameworks.
IMAGE PROCESSING AND COMPUTER VISION TECHNIQUES FOR AUTOMATED SMART SURVEILLANCE SYSTEMS Zainal Syahlan; Sofia Lim; Lucas Wong
Journal of Computer Science Advancements Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i6.3323

Abstract

The rapid development of urbanization and security concerns has prompted the integration of automated smart surveillance systems to enhance public safety and operational efficiency. Traditional surveillance methods often rely on human monitoring, which is prone to errors and inefficiencies. Image processing and computer vision techniques provide a solution by automating object detection, tracking, and anomaly recognition. This study aims to investigate advanced image processing and computer vision techniques for improving the performance of automated smart surveillance systems. A hybrid approach combining convolutional neural networks (CNNs), attention mechanisms, and edge computing is proposed to enhance both detection accuracy and real-time processing speed. The research employed experimental design, utilizing a dataset of 12,000 annotated image frames and 85 hours of video footage from diverse environmental conditions. Performance metrics such as precision, recall, mean average precision (mAP), and processing speed were measured. Results demonstrate that the proposed model outperforms traditional CNN models, achieving higher detection accuracy and faster processing speed. The study concludes that integrating edge computing with adaptive image processing and attention-based neural networks significantly improves automated surveillance system performance in real-world settings. These findings offer valuable insights for the development of scalable and efficient smart surveillance technologies.
GOODBYE LATENCY: WHY FUTURE MEDICAL DEVICES NEED ARTIFICIAL BRAINS Megan Koh; Marcus Tan; Lucas Wong
Journal of Computer Science Advancements Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i4.3332

Abstract

The transition of medical technology from passive monitoring to autonomous, closed-loop intervention is critically impeded by the latency and power inefficiencies of traditional Von Neumann computing architectures. This study investigates the efficacy of neuromorphic hardware as a solution, aiming to validate a bio-inspired architecture capable of sub-millisecond decision-making for life-critical applications. Employing a rigorous hardware-in-the-loop simulation framework, we benchmarked a custom Spiking Neural Network (SNN) against industry-standard microcontrollers, utilizing large-scale cardiac and neurological datasets to evaluate inference speed, energy consumption, and signal fidelity. Quantitative results reveal that the neuromorphic system achieved a 94% reduction in end-to-end latency and a thirty-eight-fold improvement in energy efficiency compared to the digital baseline. The event-driven architecture successfully maintained 96.4% diagnostic accuracy while operating within a negligible thermal envelope suitable for implantation. These findings definitively establish that mimicking biological asynchronous processing eliminates fatal temporal delays, validating neuromorphic “artificial brains” as the essential technological foundation for the next generation of responsive, privacy-secure, and energy-autonomous medical implants.
MICROBIAL CONSORTIA ENGINEERING: BRIDGING ENVIRONMENTAL MICROBIOLOGY AND SYNTHETIC BIOLOGY Achmad Agus Salim; Lucas Wong; Johannes Muller
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.v3i1.3342

Abstract

Natural ecosystems rely on complex microbial interactions that surpass the metabolic capabilities of isolated monocultures, yet engineering stable multi-species systems remains a significant challenge in biotechnology. This research addresses the unpredictability of interspecies social dynamics by integrating principles from environmental microbiology with the precision of synthetic biology. The study aims to evaluate a rational design framework for “obligate syntrophy” to maintain community stability and enhance metabolic throughput during the processing of complex feedstocks. Utilizing a “bottom-up” methodology, a synthetic consortium of Escherichia coli and Pseudomonas putida was engineered with cross-feeding circuits and quorum-sensing feedback loops for real-time population regulation. Results demonstrate that the engineered consortia achieved a stable co-existence for over 240 hours, representing a 45% increase in biomass yield and a 70% improvement in detoxification efficiency compared to non-engineered mixed cultures. Statistical analysis confirms that the division of metabolic labor significantly reduces individual cellular burden while increasing overall community resilience. This research concludes that bridging ecological wisdom with genetic circuit design provides a superior architecture for robust industrial bioprocessing. The findings offer a scalable blueprint for “programmable ecology,” asserting that engineered microbial consortia are essential for unlocking the full potential of the global circular bioeconomy.
GAMIFYING SOCIAL CHANGE: DESIGNING A MOBILE GAME TO PROMOTE PRO-ENVIRONMENTAL BEHAVIORS AS A SOCIAL ENTREPRENEURSHIP INITIATIVE Lucas Wong; Seo Jiwon; Ingrid Olsson; Dodi Setiawan Riatmaja
Journal of Social Entrepreneurship and Creative Technology Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v2i4.2642

Abstract

The environmental “attitude-action gap” persists, as most “green apps” fail to motivate users or achieve long-term financial sustainability. This study aims to design, develop, and test a mobile game framework that bridges this gap by integrating behavioral psychology with a sustainable social entrepreneurship model. Design-Based Research (DBR) approach was used, culminating in a 6-week, mixed-methods pilot study (n=500). Data was collected via in-game analytics, pre/post-test surveys (Pro-Environmental Behavior Scale, PEBS; Intrinsic Motivation Inventory, IMI), and qualitative interviews. The intervention yielded strong engagement (28.1% Wk6 retention) and a statistically significant increase in self-reported Pro-Environmental Behaviors (PEBS) (p < .001, Cohen’s d = 0.82). High intrinsic motivation (4.4/5.0 IMI) was observed, with ‘Social Relatedness’ (? = .45) being the strongest predictor of retention. The B2C social enterprise model was validated., when co-designed as a social enterprise, is empirically validated as an effective and sustainable framework for motivating PEBs. The model successfully bridges the attitude-action gap by prioritizing social connection.
Financial Inclusion as a Tool for Economic Empowerment of Rural Communities Pemy Chiristiaan; Lucas Wong
Journal of Multidisciplinary Sustainability Asean Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v2i1.1942

Abstract

Background. Financial inclusion is one of the main strategies in improving the economic welfare of rural communities. Access to formal financial services can help increase the economic capacity of individuals and communities, but there are still obstacles to their adoption and utilization. Financial literacy factors, infrastructure limitations, and socio-cultural aspects are challenges that affect the effectiveness of financial inclusion in supporting community economic empowerment. Purpose. This study aims to analyze the role of financial inclusion in the economic empowerment of rural communities and identify factors that affect the level of utilization. The main focus of the research is to examine the relationship between access to financial services and increasing people's economic capacity, especially through a financial literacy approach. Method. The research method used is a quantitative approach with a survey technique on 70 respondents who are small business actors in rural areas. Data were collected through questionnaires and interviews, then analyzed using descriptive statistical and regression methods to measure the impact of financial inclusion on community economic empowerment. Results. The results of the study show that access to formal financial services has a positive impact on increasing business and income of rural communities. Financial literacy is an important factor that determines the effectiveness of the use of these services, where individuals who have a better understanding tend to be more productive in managing finances. Financial education and infrastructure support have proven to contribute significantly to accelerating the adoption of formal financial services. Conclusion. Inclusion not only requires access to financial services but also the right educational strategies so that it can be used optimally. The implications of this study show the need for a community-based approach and more adaptive policies to ensure the success of financial inclusion in encouraging the economic empowerment of rural communities.
Co-Authors Achmad Agus Salim Anna Dara Ava Lee Dodi Setiawan Riatmaja Ethan Tan Ingrid Olsson Johannes Muller Marcus Tan Megan Koh Megan Koh Pemy Chiristiaan Ryan Teo Seo Jiwon Sofia Lim Zainal Syahlan Ziad Khalil