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Optimizing Renewable Energy System Performance with Real-Time Monitoring Techniques Deng Jiao; Bouyea Jonathan; Snyder Bradford
Journal of Moeslim Research Technik Vol. 1 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v1i1.830

Research Background: In the face of climate change challenges and the need for sustainable energy, renewable energy systems are becoming increasingly important. However, to maximize the efficiency and performance of renewable energy systems, monitoring techniques are needed that can provide real-time information about the operational conditions of the system. Research Objectives: This research aims to optimize the performance of renewable energy systems through the application of real-time monitoring techniques. This is done by utilizing data obtained directly from sensors connected to the energy system. Research Methods: The research methods used include literature study, system requirements analysis, real-time monitoring infrastructure design, prototype implementation, and functionality testing. The collected data was analyzed to evaluate the system performance and effectiveness of real-time monitoring techniques. Research Results: The implementation of real-time monitoring techniques successfully improves the performance of renewable energy systems by providing accurate and timely information about operational conditions. This allows for more efficient management and responsiveness to changes in environmental conditions or energy demand. Research Conclusion: The application of real-time monitoring techniques can significantly improve the efficiency and performance of renewable energy systems. With real-time information, better decision-making can be made, enabling more effective management and responsiveness to system and environmental dynamics.

Structural Engineering's Readiness to Face the Challenges of Natural Disasters in the 21st Century Lie Jie; Xie Guilin; Deng Jiao
Journal of Moeslim Research Technik Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v1i2.832

Research Background: In the modern era, the challenges of natural disasters are increasing as a result of climate change and uncontrolled development. Therefore, structural engineering preparedness in the face of natural disasters is crucial to minimize losses and negative impacts. This research aims to investigate structural engineering preparedness in facing the challenges of natural disasters in the 21st century. This is done by analyzing technical approaches, regulations, and innovations in structural engineering that can improve the resilience of infrastructure to natural disasters. The research methods used include literature review, policy analysis, and interviews with structural engineering experts. Data were collected and analyzed to understand recent developments in structural technology that can cope with natural disasters, and to evaluate the successful implementation of regulations and best practices. The results showed that structural engineering has undergone significant developments in dealing with natural disasters in the 21st century. Approaches such as anti-earthquake design, sensor technology for structural monitoring, and construction of disaster-resistant infrastructure have helped improve the resilience of infrastructure to natural disasters. From the results of this study, it can be concluded that the readiness of structural engineering to face the challenges of natural disasters in the 21st century has improved significantly. However, further efforts in technology development, regulation, and public awareness are still needed to ensure more resilient infrastructure against natural disasters in the future.

The Precision Agriculture Revolution in Asia: Optimizing Crop Yields with IoT Technology Xie Guilin; Deng Jiao; Yuanyuan Wang; Guijiao Zou; Lie Jie
Journal of Selvicoltura Asean Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v1i2.857

Research Background: Agriculture in Asia faces challenges in meeting increasing food needs due to population growth. Conventional farming methods are often less efficient and unsustainable. Precision agricultural technology, especially the Internet of Things (IoT), offers solutions to significantly increase farm productivity and efficiency. Research Objectives: This research aims to explore the potential application of IoT technology in precision agriculture in Asia and analyze its impact on optimizing crop yields. Research Method: This research uses a case study approach by analyzing the implementation of IoT technology in precision agriculture in several Asian countries, such as China, India, and Indonesia. Data was collected through interviews with farmers, agricultural experts, related stakeholders, and field observations. esearch Results: Research results show that the application of IoT technology in precision agriculture in Asia provides significant benefits, including (1) monitoring soil conditions, weather, and plant growth in real-time, (2) optimizing the use of fertilizer and irrigation water, (3) early detection of pests and plant diseases, and (4) increasing the efficiency of agricultural management. In addition, this research found that adopting IoT technology still needs to be improved by factors such as limited infrastructure, initial investment costs, and human resource readiness. Research Conclusion: It can be concluded that IoT technology has great potential in supporting the precision agriculture revolution in Asia. Its implementation can optimize crop yields through more efficient and sustainable agricultural management. However, systematic efforts are needed to overcome challenges in implementing IoT technology in the farming sector, such as infrastructure investment, human resource training, and supporting policies from the government.

Application of Augmented Reality-based Educational Technology to Increase Student Engagement in Elementary Schools Wa Ode Riniati; Deng Jiao; Sri Nur Rahmi
International Journal of Educatio Elementaria and Psychologia Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijeep.v1i6.1461

The rapid development of educational technology has significantly influenced teaching and learning practices, particularly in elementary education. Traditional classroom methods often struggle to engage young learners effectively, leading to reduced attention and participation. This study addresses this issue by exploring the application of Augmented Reality (AR)-based educational technology to increase student engagement in elementary schools. The research aims to investigate the impact of AR tools on students’ cognitive and affective engagement, thereby enhancing their overall learning experience. A quasi-experimental design was adopted for this research, involving 120 students from three different elementary schools. The students were divided into experimental and control groups, with the experimental group using AR applications to supplement their learning activities while the control group used conventional teaching methods. Data were collected through observations, pre- and post-intervention tests, and student interviews to measure engagement levels and academic performance. The results indicated a significant increase in engagement and understanding of the subject matter among students who used AR-based tools compared to those in the control group. Specifically, the experimental group demonstrated a 35% higher engagement rate and a 20% improvement in academic performance. Interviews also revealed that students found AR tools more interactive and motivating. In conclusion, the application of AR-based educational technology has a positive impact on student engagement and learning outcomes in elementary schools. The study recommends integrating AR tools in the curriculum to foster a more engaging and effective learning environment for young learners.

Outcome Measurement of Counseling Interventions: A Data-Driven Approach to Assessing the Effectiveness of Therapy Programs Fauzi Aldina; Lusiana Rahmadani Putri; Deng Jiao
Research Psychologie, Orientation et Conseil Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v1i4.1384

Measuring the effectiveness of counseling interventions is essential for ensuring the quality and impact of therapy programs. However, assessing therapeutic outcomes can be challenging due to the subjective nature of mental health improvements and the diversity of therapeutic approaches. A data-driven approach offers an opportunity to quantitatively evaluate the effectiveness of these programs, enabling a more objective assessment of therapy outcomes. This study aims to develop and implement a data-driven model for measuring the outcomes of counseling interventions. The goal is to provide a structured and reliable method to assess the effectiveness of therapy programs across various mental health conditions. A mixed-methods approach was used, incorporating both quantitative and qualitative data. Quantitative data were collected using standardized mental health assessment tools such as the Depression Anxiety Stress Scales (DASS) and the General Health Questionnaire (GHQ) to track changes in clients' mental health over time. Additionally, qualitative data from client feedback and therapist evaluations were analyzed using thematic analysis to capture subjective experiences. Statistical analysis was performed to evaluate the overall effectiveness of the interventions. The data-driven approach demonstrated significant improvements in mental health outcomes across various counseling interventions. Clients reported reductions in symptoms of depression, anxiety, and stress, with quantitative scores showing consistent improvements. Qualitative feedback further supported these findings, with clients highlighting increased emotional resilience and coping strategies as key benefits of the therapy programs. A data-driven approach to measuring counseling outcomes provides a reliable and comprehensive way to assess the effectiveness of therapy interventions. This model can be used to improve the quality of mental health services and guide the development of more effective therapeutic strategies.

Recent Quantum Optics Experiments: Uncovering the Mysteries of Compressed Matter Xie Guilin; Deng Jiao; Yuanyuan Wang
Journal of Tecnologia Quantica Vol. 1 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i1.871

The physics of compressed matter has become a widely interesting research field mainly due to its relevance in understanding the structure and behavior of matter under extreme pressure conditions. Despite advances made, many mysteries within this field, especially related to the quantum properties of compressed matter, remain unsolved. This research aims to utilize recent quantum optics experiments to unveil the mysteries contained in compressed matter. The primary focus is to understand the quantum properties of matter under high pressure and explore unique behaviors that may emerge in this situation. This research employs a combined approach of quantum optics experiments and theoretical analysis. Experiments are conducted using sophisticated quantum optics equipment to manipulate and examine compressed matter on a quantum scale. Meanwhile, theoretical analysis is used to deepen understanding of the phenomena observed during the experiments. The findings indicate that recent quantum optics experiments have provided new insights into the quantum properties of compressed matter. Some intriguing results include the observation of quantum phase transitions and other quantum effects that may arise under extreme pressure conditions. These results contribute significantly to the understanding of the physics of compressed matter and pave the way for further research in this area. The conclusion of this study is that recent quantum optics experiments have helped unveil the mysteries contained in compressed matter. By integrating experimental and theoretical approaches, this research has deepened the understanding of the quantum properties of matter under high pressure.

Quantum Optics Innovation in Photonics-Based Technology Development Embrechts Xavier; Xie Guilin; Deng Jiao
Journal of Tecnologia Quantica Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i2.901

The interaction between light and matter is a fundamental topic in physics that has broad implications for developing new technologies. With the development of nanotechnology and photonics, a deeper understanding of how light can be affected by and affect matter at the micro and nano scales has become important. This research aims to explore and characterize the interaction of light with matter under various experimental and theoretical conditions to reveal new phenomena that can be exploited in future technologies, such as in the development of quantum computers, advanced sensors, and optical communication systems. This research uses a combination of experimental methods and computer simulation. The experiments were carried out using advanced spectroscopy and microscopy techniques to observe interactions at the atomic and molecular levels. Computer simulations are used to model interactions and predict the behavior of materials under the influence of different light. The results show that by manipulating the structure of materials at the nanoscale, we can significantly change the way materials interact with light. This includes creating meta-material effects not found in nature, which allow the control of light in a highly efficient and selective manner. This study's conclusions confirm that the potential for controlling and exploiting light in technological applications has been substantially expanded through high-precision manipulation of materials at the nanoscale. These findings pave the way for the development of various advanced technological applications that are more efficient and effective, providing a strong foundation for future technological innovations that rely on the interaction of light and matter.

The Precision Agriculture Revolution in Asia: Optimizing Crop Yields with IoT Technology Xie Guilin; Deng Jiao; Yuanyuan Wang
Techno Agriculturae Studium of Research Vol. 1 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v1i1.916

Agriculture in Asia faces challenges in meeting increasing food needs due to population growth. Conventional farming methods are often less efficient and unsustainable. Precision agricultural technology, especially the Internet of Things (IoT), offers solutions to significantly increase farm productivity and efficiency. This research aims to explore the potential application of IoT technology in precision agriculture in Asia and analyze its impact on optimizing crop yields. This research uses a case study approach by analyzing the implementation of IoT technology in precision agriculture in several Asian countries, such as China, India, and Indonesia. Data was collected through interviews with farmers, agricultural experts, related stakeholders, and field observations. Research results show that the application of IoT technology in precision agriculture in Asia provides significant benefits, including (1) monitoring soil conditions, weather, and plant growth in real-time, (2) optimizing the use of fertilizer and irrigation water, (3) early detection of pests and plant diseases, and (4) increasing the efficiency of agricultural management. In addition, this research found that adopting IoT technology still needs to be improved by factors such as limited infrastructure, initial investment costs, and human resource readiness. It can be concluded that IoT technology has great potential in supporting the precision agriculture revolution in Asia. Its implementation can optimize crop yields through more efficient and sustainable agricultural management. However, systematic efforts are needed to overcome challenges in implementing IoT technology in the farming sector, such as infrastructure investment, human resource training, and supporting policies from the government

Utilization of Multi-Agent Systems in Managing Smart Transportation Systems in Urban Areas Amelia Hayati; Rachmat Prasetio; Mariana Diah Puspitasari; Deng Jiao
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1534

Urban areas face increasing challenges in managing transportation systems due to rising population densities and traffic congestion. Traditional traffic management methods often lack the flexibility and responsiveness needed to address dynamic conditions in real time. This study explores the utilization of multi-agent systems (MAS) as a solution for optimizing smart transportation systems within urban environments. The research aims to evaluate the effectiveness of MAS in improving traffic flow, reducing congestion, and enhancing system responsiveness through autonomous decision-making and coordination among multiple agents. A simulation-based methodology was employed to analyze MAS performance in managing various transportation variables, including traffic density, signal timing, and incident response. Each agent was programmed to perform specific tasks, such as monitoring traffic, optimizing traffic signals, and re-routing vehicles, with collaborative decision-making to address congestion in real time. Results indicate that MAS implementation led to a 30% improvement in traffic flow efficiency and a 25% reduction in congestion levels. The system also demonstrated adaptive capabilities, allowing for real-time adjustments to unexpected conditions, such as accidents or road closures. The findings suggest that multi-agent systems provide a viable, scalable solution for smart transportation management in complex urban settings. Implementing MAS can significantly enhance the efficiency and adaptability of urban transportation systems, contributing to more sustainable and efficient mobility solutions in rapidly growing cities.

The Role of Augmented Reality in Enhancing Social Business Models: a Pathway to Sustainable Development Xie Guilin; Deng Jiao; Yuanyuan Wang
Journal of Social Entrepreneurship and Creative Technology Vol. 1 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v1i1.1003

Augmented reality (AR) technology has emerged as a powerful tool in various sectors, offering innovative solutions that enhance user engagement and experience. In the context of social business models, AR has the potential to drive sustainable development by addressing key social and environmental challenges. Despite its growing popularity, the role of AR in enhancing social business models remains underexplored. This research aims to investigate the impact of augmented reality on social business models and its potential to contribute to sustainable development. The study seeks to identify how AR can be integrated into social enterprises to enhance their effectiveness and sustainability. The research employs a mixed-methods approach, combining quantitative surveys and qualitative case studies. A survey was conducted with 150 social entrepreneurs to gather data on the use of AR and its perceived impact. Additionally, five in-depth case studies of social enterprises utilizing AR were conducted to provide detailed insights into implementation strategies and outcomes. The findings indicate that AR significantly enhances the effectiveness of social business models by improving user engagement, education, and operational efficiency. Social enterprises using AR reported higher levels of community engagement and greater impact on their social and environmental goals. The case studies revealed successful strategies for integrating AR, such as interactive educational content and immersive storytelling, which contributed to achieving sustainable development outcomes. The study concludes that augmented reality holds substantial potential for enhancing social business models and promoting sustainable development. By leveraging AR technology, social enterprises can create more engaging and impactful solutions to address social and environmental challenges. Continued research and investment in AR applications within the social enterprise sector are recommended to fully realize its potential.

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