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The Evolution of Portraiture in Contemporary Visual Arts Saputra, Prayoga; Tan, Ethan; Lee, Ava
Journal of Humanities Research Sustainability Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

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Abstract

Background. This research aims to explore the evolution of portrait art in contemporary visual art, focusing on how portrait evolved from physical representation to a medium of social communication rich in critical messages and social themes. Purpose. The background of this research is based on the increasing use of digital media and the changing audience preference for portraits that convey relevant issues such as identity and social inequality.    Method. This research uses a qualitative method with a descriptive-analytical approach, through in-depth interviews with artists and participatory observation in art galleries. Results. The results show that contemporary portraits are more than just visual works; It becomes an effective advocacy tool, blending aesthetics with complex social issues. Portraits now not only display appearances, but also convey a powerful narrative that invites the audience to engage in the process of interpretation and reflection. Conclusion. The conclusion of the study underscores that contemporary portrait art plays an important role in strengthening social awareness and offers a new perspective on visual art as a medium capable of driving social change.  
THE IMPACT OF FOREST FIRES ON TIMBER PRODUCTION AND FOREST ECOSYSTEMS Koh, Megan; Lee, Ava; Teo, Ryan
Journal of Selvicoltura Asean Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i1.2034

Abstract

Forest fires are a significant environmental issue, especially in tropical regions, where they have been known to disrupt ecosystems and hinder sustainable timber production. The increasing frequency and intensity of forest fires, driven by both natural causes and human activity, pose a major threat to forest health and biodiversity. Additionally, the economic impact on the timber industry is profound, with fires damaging forests, destroying timber resources, and reducing overall timber yields. This study investigates the effects of forest fires on timber production and forest ecosystems, focusing on their long-term consequences. This research aims to assess the impact of forest fires on timber production, as well as the broader effects on forest ecosystems, including biodiversity loss, soil degradation, and carbon emissions. The study also seeks to explore potential mitigation strategies for reducing fire risks and promoting the recovery of forest ecosystems post-fire. A mixed-methods approach was employed, combining remote sensing data, field surveys, and interviews with forestry experts and local communities. The study analyzed fire-affected areas in Southeast Asia, comparing timber production data before and after fire events. Ecological indicators, such as species diversity and soil quality, were also measured to assess the impact on the forest ecosystem. The findings show a significant decline in timber production following forest fires, with affected areas showing reduced growth rates and a lower timber yield in the years after the fire. Forest ecosystems also experienced biodiversity loss, with long-term degradation of soil quality and carbon sequestration capacity. Forest fires have a substantial negative impact on both timber production and forest ecosystems. Effective fire management strategies are crucial for minimizing damage and supporting the recovery of forest resources and biodiversity.
The Impact of Inclusive Education Settings on the Social Development of Children With and Without Disabilities Jiu, Cau Kim; Lee, Ava; Tan, Ethan
Research Psychologie, Orientation et Conseil Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i4.2569

Abstract

Sleep plays a fundamental role in the cognitive and emotional development of children, yet sleep deprivation has become increasingly common among elementary school students due to lifestyle and environmental factors. Poor sleep quality has been linked to diminished academic performance, reduced attention span, and impaired memory consolidation, all of which are essential for effective learning. This study aims to investigate the relationship between sleep quality, academic achievement, and memory consolidation processes in elementary school children. A quantitative correlational design was employed involving 280 students aged 9–12 years from three urban elementary schools. Data were collected using the Pittsburgh Sleep Quality Index (PSQI) and a standardized memory recall test, alongside academic records. Statistical analyses were performed using Pearson correlation and multiple regression to determine predictive relationships among variables. Findings indicated a significant positive correlation between sleep quality and both academic performance (r = 0.63, p < 0.001) and memory retention (r = 0.59, p < 0.001). Children with consistent sleep schedules and adequate rest demonstrated superior cognitive function, particularly in long-term memory tasks and problem-solving abilities. The study concludes that sufficient and high-quality sleep is a critical determinant of learning efficiency and academic success. Interventions promoting healthy sleep habits should be integrated into school health programs to support cognitive and educational outcomes.  
“SOLASTALGIA” AND ECO-ANXIETY IN THE GLOBAL SOUTH: A COMMUNITY-BASED STUDY ON PSYCHOLOGICAL ADAPTATION TO CLIMATE CHANGE Maarif, Mohammad Syamsul; Lee, Ava; Iqbal, Kiran
World Psychology Vol. 4 No. 3 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v4i3.1045

Abstract

Psychological research on climate change, dominated by Global North “eco-anxiety,” fails to capture the lived reality of the Global South. This ethnocentric bias overlooks the profound, place-based distress experienced by frontline communities facing immediate environmental degradation. This study aimed to investigate the manifestations of solastalgia and eco-anxiety and identify indigenous psychological adaptation strategies using a community-based participatory approach in the Global South. A Community-Based Participatory Research (CBPR) framework, employing a sequential explanatory mixed-methods design, was implemented in two climate-vulnerable sites (coastal Southeast Asia and agrarian Sahel, N=804). Qualitative methods informed the co-development of the Community Climate Distress and Resilience Scale (CCD-RS). Findings revealed that “solastalgia” (present-tense, place-based grief) is the dominant psychological burden, significantly superseding future-oriented ‘eco-anxiety’. Qualitative analysis identified local idioms of distress (e.g., “the sea is tired”). Resilience was not an individual trait but a collective process, strongly predicted by involvement in community rituals (\beta = .31, p < .001). The study provides an empirical corrective to the ethnocentric bias in climate psychology, demonstrating that psychological adaptation in the Global South is collective and place-based.
Diamond-Based Quantum Sensors for High-Resolution Magnetic Field Imaging of Neural Activity A, Muhammad Firdaus; Tan, Ethan; Lee, Ava
Journal of Tecnologia Quantica Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.2795

Abstract

Advances in quantum sensing technologies have opened new opportunities for noninvasive, high-resolution detection of neural activity, particularly through diamond-based quantum sensors utilizing nitrogen–vacancy (NV) centers. Conventional neuroimaging techniques often face limitations in spatial resolution, temporal precision, and sensitivity to weak magnetic fields generated by neuronal currents. These constraints motivate the development of quantum-enhanced sensing approaches capable of capturing neural dynamics with unprecedented fidelity. This study aims to evaluate the performance of diamond-based quantum sensors for high-resolution magnetic field imaging and to assess their potential for real-time neural activity monitoring. A combined experimental and simulation-based methodology was employed, involving controlled magnetic field measurements using NV-center ensembles, calibration against established magnetometry systems, and computational modeling of neuronal magnetic signatures. The results show that NV-based sensors achieve sub-micron spatial resolution and detect magnetic fields in the nanotesla range, significantly outperforming traditional optical and electromagnetic techniques. The findings further demonstrate strong temporal responsiveness, enabling the reconstruction of fast neuronal firing patterns. The study concludes that diamond-based quantum sensors represent a promising frontier for next-generation neuroimaging, offering a scalable, minimally invasive platform for studying neural circuits with high spatial–temporal precision.
Device-Independent Quantum Key Distribution Over Long-Distance Fiber Networks Using Entanglement Swapping Architectures Lee, Ava; Tan, Marcus; Gankhuyag, Baasandorj
Journal of Tecnologia Quantica Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.3194

Abstract

Quantum Key Distribution (QKD) has emerged as a powerful solution for secure communication, relying on the principles of quantum mechanics to guarantee the security of transmitted keys. However, traditional QKD protocols are dependent on the trustworthiness of the devices used, which introduces vulnerabilities. Device-independent quantum key distribution (DI-QKD) eliminates this dependency, offering a higher level of security. This research explores the use of DI-QKD over long-distance fiber networks by incorporating entanglement swapping architectures to extend the reach and enhance the security of quantum key distribution systems. The objective of this study is to evaluate the feasibility of DI-QKD over long-distance fiber-optic networks, employing entanglement swapping as a means to mitigate photon loss and noise over extended distances. The research employs both theoretical modeling and experimental validation, simulating long-distance fiber links with quantum repeaters and entanglement swapping nodes. The results demonstrate that entanglement swapping significantly extends the distance over which secure DI-QKD can be achieved, maintaining low quantum bit error rates (QBER) and high key generation rates even at distances of 200 km. The findings confirm that DI-QKD is feasible over practical fiber networks, and entanglement swapping is a key enabler for long-distance secure quantum communication.    
The Humanities of Food Sustainability: A Cultural History of Local Food Movements and Agro-biodiversity in Indonesia Hanafi, Imam; Tan, Jaden; Lee, Ava
Journal of Humanities Research Sustainability Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v2i6.2788

Abstract

Background. Indonesia’s contemporary food sustainability challenges reflect deep historical, cultural, and ecological transformations that have reshaped local food systems and agro-biodiversity. Local food movements have re-emerged as a response to the growing homogenization of diets, the erosion of indigenous agricultural knowledge, and the impact of industrial food regimes. These movements represent not only environmental initiatives but also cultural practices rooted in longstanding traditions of communal agriculture and ecological stewardship. Purpose. The research aims to analyze the cultural foundations of Indonesia’s local food movements, trace their historical development, and examine their contributions to sustaining agro-biodiversity.   Method. A qualitative historical-cultural method was employed, drawing on archival materials, ethnographic accounts, visual documentation, and policy analysis. Analytical procedures included thematic coding, cultural narrative reconstruction, and cross-period comparison to map continuities and ruptures in food sustainability practices. Results. Findings show that local food movements are deeply embedded in cultural memory and collective identity, functioning as mechanisms for ecological resilience, resistance to food commodification, and revitalization of traditional crop varieties. The movements demonstrate how cultural narratives, ritual practices, and local knowledge systems actively shape community-led strategies for conserving agro-biodiversity. Conclusion. The study concludes that food sustainability in Indonesia cannot be understood solely through ecological or economic lenses; it must be grounded in cultural history and humanistic inquiry. Strengthening local food movements therefore requires integrating cultural values, historical understanding, and community agency into national food sustainability policies.
CODING REVOLUTION: HOW AI AGENTS ARE TAKING OVER SOFTWARE REPOSITORY MAINTENANCE Teo, Ryan; Lee, Ava; Lim , Sofia
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.v3i6.3322

Abstract

The rapid expansion of global software infrastructure has created a critical bottleneck, as human developers struggle to manage escalating technical debt and complex repository maintenance. This research explores the transformative shift toward “Autonomous Repository Management” (ARM), where AI agents transition from passive assistants to independent maintainers. The primary objective is to evaluate the efficacy of agentic architectures in performing end-to-end maintenance tasks across diverse software ecosystems. Employing a longitudinal experimental design, this study utilized a purposive sample of 50 open-source repositories, applying a custom “RepoHealth-Bench” framework to measure performance. Findings indicate that AI agents reduced technical debt by 31.5% in legacy systems and achieved a 96.5% patch success rate in standardized libraries, significantly outperforming human-centric benchmarks in speed and security remediation. Inferential analysis reveals a strong correlation between repository documentation quality and agent reliability, suggesting a “compounding health” effect through iterative machine-led refactoring. The study concludes that the “Coding Revolution” effectively reverses software entropy, shifting the developer's role from manual execution to high-level orchestration. These results provide a foundational blueprint for integrating autonomous digital workforces into the modern software development lifecycle, marking the end of the manual maintenance era.