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Photocatalytic Degradation of Pharmaceutical Waste Using ZnO/CuO Thin Films Under Visible Light Vann, Dara; Dara, Ravi; Rocha, Thiago; Shofiah, Siti
Research of Scientia Naturalis Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i3.2384

Abstract

The increasing presence of persistent pharmaceutical contaminants in water bodies poses a significant threat to environmental and human health, necessitating effective remediation technologies. This study aimed to develop and evaluate zinc oxide/copper oxide (ZnO/CuO) composite thin films as an efficient photocatalyst for degrading pharmaceutical waste under visible light. The ZnO/CuO thin films were synthesized via a sol-gel spin-coating method, and their photocatalytic activity was assessed using diclofenac as a model pollutant. The results demonstrated that the ZnO/CuO heterostructure exhibited enhanced visible light absorption and superior photocatalytic performance compared to pure ZnO. The composite films achieved over 90% degradation of diclofenac within 120 minutes, with the process following pseudo-first-order kinetics. The enhanced efficiency is attributed to effective charge separation at the ZnO/CuO interface. This research confirms that ZnO/CuO thin films are promising, reusable photocatalysts for the sustainable treatment of pharmaceutical-contaminated water.
Getting Funding: Analysis of Challenges and Opportunities for Creative Startups in Indonesia Silva, Pedro; Mendes, Clara; Rocha, Thiago
Journal of Social Entrepreneurship and Creative Technology Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v1i3.1728

Abstract

Creative startups in Indonesia have become key players in the country's economic growth, contributing significantly to job creation and innovation. However, securing funding remains a major challenge for these startups. The gap in access to financing and the lack of understanding of investors about the creative sector often hinder the growth potential of these businesses. Despite the promising prospects, these challenges require a comprehensive analysis to identify the opportunities for overcoming funding barriers. This study aims to analyze the challenges faced by creative startups in Indonesia when seeking funding and explore the opportunities available to facilitate their access to capital. The research focuses on identifying key obstacles and evaluating potential solutions that could improve the startup ecosystem in the country. A mixed-methods approach was employed, combining qualitative interviews with creative startup founders and quantitative surveys conducted among investors and funding bodies. Data was analyzed to identify common challenges and potential opportunities within the funding landscape. The study found that limited awareness among investors, a lack of tailored financial products, and the perception of high risk associated with creative startups were the primary challenges. However, there are emerging opportunities, including government initiatives and the growing popularity of crowdfunding platforms, which are becoming viable alternatives for funding. To enhance the growth of creative startups in Indonesia, both government and private sectors must collaborate to provide more accessible and specialized funding options. Additionally, increasing awareness among investors about the potential of the creative sector can unlock new funding opportunities.
Psychological Capital in Educators: The Role of Hope, Efficacy, and Resilience in Preventing Teacher Burnout Miftahuddin, Miftahuddin; Alves, Livia; Rocha, Thiago
Research Psychologie, Orientation et Conseil Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i4.2526

Abstract

Teacher burnout is a pervasive challenge in education, negatively affecting both educators’ well-being and student outcomes. Psychological capital, encompassing hope, self-efficacy, resilience, and optimism, has emerged as a critical protective factor against occupational stress. Understanding how specific components of psychological capital influence burnout can inform interventions aimed at promoting teacher well-being and sustaining instructional effectiveness. This study investigates the role of hope, self-efficacy, and resilience in preventing burnout among educators in primary and secondary schools. A quantitative research design was employed, involving 150 teachers selected through stratified random sampling. Participants completed standardized questionnaires measuring psychological capital dimensions and burnout levels. Statistical analyses, including correlation and multiple regression, were conducted to examine predictive relationships. Findings indicate that higher levels of hope, self-efficacy, and resilience are significantly associated with lower burnout scores. Among the components, self-efficacy exhibited the strongest protective effect, followed by resilience and hope. The study concludes that cultivating psychological capital is essential for mitigating teacher burnout, enhancing professional commitment, and promoting sustainable teaching practices.  
A Novel Quantum Algorithm for Solving Non-Linear Differential Equations with Potential Exponential Speedup Judijanto, Loso; Rocha, Thiago; Lima, Rafaela
Journal of Tecnologia Quantica Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i4.2792

Abstract

Non-linear differential equations constitute the mathematical foundation of complex physical, biological, and engineering systems, yet classical numerical solvers often suffer from prohibitive computational costs as system dimensionality increases. Quantum computation offers a promising pathway for accelerating such calculations, although existing quantum algorithms primarily address linear differential models and fail to generalize efficiently to non-linear regimes. This study aims to develop and evaluate a novel quantum algorithm designed specifically to approximate solutions to non-linear differential equations with a potential exponential speedup over classical methods. The proposed approach integrates a variational quantum ansatz with non-linear Hamiltonian embedding and amplitude encoding to capture non-linearity within a tractable quantum framework. Simulations were conducted on noisy intermediate-scale quantum (NISQ) models and idealized quantum circuits to benchmark accuracy, convergence behavior, and computational scaling. The results indicate that the algorithm achieves stable convergence across representative non-linear systems while demonstrating a significant reduction in computational complexity relative to classical solvers, particularly for high-dimensional models. The study concludes that the proposed algorithm represents a viable direction for quantum-enhanced numerical analysis and may serve as a foundation for future quantum solvers targeting complex dynamical systems.
Coherent Coupling Between a Superconducting Qubit and a Spin Ensemble in a Hybrid Quantum System for Microwave-to-Optical Transduction Gomez, Raul; Rocha, Thiago; Santos, Luis
Journal of Tecnologia Quantica Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i6.3198

Abstract

The coupling of superconducting qubits with spin ensembles has emerged as a promising solution to bridge the microwave-optical frequency gap in hybrid quantum systems. These systems are crucial for advancing quantum communication, quantum networks, and integrated quantum technologies. However, achieving coherent coupling between these two platforms remains a significant challenge due to the differences in their operational frequency regimes and their susceptibility to decoherence. This research aims to explore the coherent coupling between a superconducting qubit and a spin ensemble, specifically focusing on its potential for efficient microwave-to-optical transduction. The primary objective of this study is to develop a hybrid quantum system that enables the transfer of quantum information between microwave and optical domains with minimal loss of coherence. Experimental and theoretical approaches were used, involving superconducting qubits and nitrogen-vacancy (NV) centers in diamonds as the spin ensemble. The results demonstrate that the coupling mechanism is efficient, achieving high transduction efficiencies and long coherence times, particularly at optimized coupling strengths. These findings suggest that the hybrid system can be used for scalable quantum communication systems, facilitating quantum information transfer across different frequency domains. In conclusion, this study provides a robust method for microwave-to-optical transduction, opening new avenues for quantum network development and hybrid quantum technologies.
Analysis of Factors that Drive Startup Growth in Indonesia Chai, Napat; Tan, Marcus; Rocha, Thiago
Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v2i6.1973

Abstract

The rapid growth of startups in Indonesia has become a significant driver of economic development, especially in the digital and tech sectors. Despite the increasing number of startups, understanding the factors that contribute to their growth remains a complex challenge. This study aims to analyze key drivers of startup success in Indonesia, focusing on external factors, internal strategies, and market conditions that influence their scalability. The primary objective of this research is to identify and analyze the critical factors that contribute to the growth of startups in Indonesia. It seeks to explore the role of innovation, funding, government policies, market demand, and networking opportunities in driving the expansion of new ventures. This study uses a mixed-methods approach, combining quantitative surveys of 100 startup founders and qualitative interviews with industry experts. Data analysis is conducted using descriptive statistics and thematic analysis to identify recurring themes and patterns in the factors that influence startup growth. The findings indicate that access to funding, government support, and a robust market demand are the most influential factors in driving startup growth. Additionally, networking and mentorship play critical roles in providing startups with necessary resources and strategic insights. Startups in the tech and e-commerce sectors show higher growth potential compared to those in other industries. The growth of startups in Indonesia is primarily driven by a combination of financial resources, strategic government initiatives, and market opportunities.
DEVELOPMENT OF A BIO-MEMS CANTILEVER-BASED BIOSENSOR FOR THE RAPID, LABEL-FREE DETECTION OF THE AVIAN INFLUENZA VIRUS Rocha, Thiago; Mendes, Clara; Lima, Rafaela
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i6.2979

Abstract

Avian influenza virus remains a significant threat to global public health, poultry industries, and food security due to its high transmissibility and zoonotic potential. Rapid and reliable detection is essential for early outbreak control, yet conventional diagnostic methods are often time-consuming, laboratory-dependent, and rely on labeled reagents, limiting their applicability in field and point-of-care settings. This study aims to develop a Bio-MEMS cantilever-based biosensor capable of rapid, label-free detection of the avian influenza virus with high sensitivity and specificity. An experimental Bio-MEMS approach was employed, involving microfabrication of silicon cantilevers, surface biofunctionalization with virus-specific recognition elements, and real-time mechanical sensing of virus–receptor interactions. The biosensor’s performance was evaluated by measuring cantilever deflection responses under controlled exposure to varying viral concentrations. The results demonstrate stable baseline behavior, low noise levels, and clear concentration-dependent deflection signals, achieving rapid detection within minutes and a low limit of detection without signal amplification. Non-target analytes produced negligible responses, confirming high specificity. In conclusion, the developed Bio-MEMS cantilever-based biosensor provides an effective platform for rapid, label-free detection of avian influenza virus. This technology shows strong potential for integration into portable diagnostic systems and could be adapted for surveillance of other viral pathogens.
A Mini-Review of Digital Technologies (IoT, AI) for Enhancing Sustainability Monitoring in Indonesian Agriculture and Forestry Fahrati, Eny; Rocha, Thiago; Lima, Lucas
Journal of Multidisciplinary Sustainability Asean Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v2i6.2777

Abstract

Background. The integration of digital technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) into agriculture and forestry holds great potential for enhancing sustainability monitoring, especially in Indonesia, where these sectors are crucial to the economy and environment. Purpose. The challenges of climate change, deforestation, and inefficient resource use have led to the need for advanced technologies to better manage natural resources and monitor sustainability in these sectors. This mini-review aims to assess the role of IoT and AI in improving sustainability monitoring in Indonesian agriculture and forestry, exploring the benefits, challenges, and future prospects. Method. A comprehensive review of existing literature, case studies, and reports was conducted to gather data on the applications of IoT and AI in agriculture and forestry in Indonesia. The research examines the current technologies being implemented, their impact on resource efficiency, and the potential for scalability and integration into existing systems. Results. The findings indicate that IoT-based sensors and AI-driven analytics have significantly improved data collection and decision-making processes, enabling better management of water, soil, and forest resources. However, challenges such as infrastructure limitations, data privacy concerns, and the need for skilled labor remain. Conclusion. In conclusion, digital technologies such as IoT and AI offer promising solutions for enhancing sustainability monitoring in Indonesia’s agriculture and forestry sectors. While progress is being made, there is a need for further investment in infrastructure, capacity building, and policy development to maximize the impact of these technologies.