Articles
Quantum Bayesianism: Interpretation of Probability in Quantum Mechanics
Judijanto, Loso
Journal of Tecnologia Quantica Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi
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DOI: 10.70177/quantica.v2i1.1956
Quantum mechanics presents challenges in understanding probability, which is often seen as a measure of uncertainty in quantum systems. Quantum Bayesianism (QBism) is an alternative interpretation that considers probability as an observer's subjective belief, not as an objective representation of the state of the system. This study aims to delve deeper into the role of probability in quantum mechanics through the perspective of QBism. This study aims to examine the differences between Quantum Bayesianism and traditional quantum probability interpretations, as well as analyze how QBism can provide a more dynamic understanding of probability in quantum experiments. The methods used include literature analysis to identify publication trends related to QBism as well as case studies of quantum experiments that show the application of subjective probability theory. Data is obtained from various scientific sources and the latest publications in the field of quantum physics. The results show that Quantum Bayesianism provides a more flexible and subjective approach to probability, which allows probabilities to be calculated based on the observer's beliefs and can change according to the information obtained. The study also confirms that more and more researchers are adopting QBism in their research, replacing the more traditional view of objective probability. The study concluded that QBism offers a more relevant and applicable view of probability in quantum mechanics. Although there are still limitations in practical application, QBism opens up new opportunities in the understanding and development of quantum technology in the future.
Quantum Information Theory for Network Quantum Communication
Judijanto, Loso
Journal of Tecnologia Quantica Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi
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DOI: 10.70177/quantica.v2i1.1957
The background of this research focuses on the importance of quantum communication in overcoming the challenges of global communication security and efficiency. Using quantum information theory, this study aims to explore the potential of network quantum communication in presenting safer and more efficient solutions. The research methods used combine hands-on experiments and analysis of quantum theory to understand how quantum communication systems can be applied in the real world. The results show that although there are still technical challenges, especially in qubit management and error correction, significant progress has been made in experiments that integrate quantum communication with satellites and optical fibers. These results open up great opportunities for the development of quantum communication technology in practical applications, especially for cryptography and secure transmission of information. The conclusion of this study highlights that despite the many challenges to be faced, this research makes an important contribution in understanding ways to develop and implement stable and efficient network quantum communication. Further research is needed to overcome technical limitations and accelerate the development of this technology on a global scale.
Topological Quantum Computing: Challenges and Potential
Judijanto, Loso;
Aziz, Safiullah;
Khan, Omar
Journal of Tecnologia Quantica Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi
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DOI: 10.70177/quantica.v2i1.1960
Quantum computing offers great potential for a technological revolution, but challenges related to the stability and resilience of computing systems remain a major obstacle. Topological Quantum Computing (TQC) emerged as one of the solutions to overcome this problem. This study aims to analyze the challenges and potential of TQC in the development of quantum computing that is more stable and resistant to external disturbances. The method used in this study is a literature study by analyzing secondary data from various experiments conducted by leading research institutions. The results show that TQC has the potential to improve the reliability of quantum computing, especially in reducing the error rate that often occurs in conventional quantum systems. Nonetheless, the main challenges faced are the greater scalability and integration issues of the system. The study concludes that despite the promise of TQC, the development of this technology still requires further research to overcome existing technical constraints. The future research direction needs to be focused on the development of topological qubits on a large scale and more efficient integration for practical applications.
Quantum Field Theory in Curved Spacetime
Judijanto, Loso;
Al-Khouri, Bassam;
Khatib, Rania
Journal of Tecnologia Quantica Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi
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DOI: 10.70177/quantica.v2i1.1964
Quantum field theory and general relativity are the two main pillars of modern physics. However, the two still cannot be combined consistently to explain cosmic phenomena at the microscopic level, especially in the context of curved spacetime. This research aims to explore the interaction between quantum fields and the curvature of spacetime, with a focus on the implications of quantum gravity. This research aims to understand how quantum fields interact with curved spacetime, as well as to develop a more comprehensive model of physics that combines these two concepts. The methods used include the development of mathematical models and numerical simulations to integrate quantum field theory with general relativity. The analysis was carried out by examining the impact of space-time curvature on quantum field fluctuations around massive objects such as black holes. The findings show that the curvature of spacetime has a major influence on the behavior of the quantum field, leading to modifications in energy distribution and field fluctuations. This discovery opens up new possibilities in the development of a more complete theory of quantum gravity. This study provides new insights into understanding the relationship between quantum fields and curved spacetime, as well as opening the way for further research in the field of quantum gravity and extreme cosmic phenomena.
Quantum Computing and Complexity Theory
Sucipto, Purwo Agus;
Judijanto, Loso;
Qudah, Nasser
Journal of Tecnologia Quantica Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi
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DOI: 10.70177/quantica.v2i1.1967
The background of this research is driven by the rapid development of quantum computing which has the potential to change the paradigm in complexity theory and computational algorithms. The purpose of this study is to explore the advantages and limitations of quantum algorithms in solving problems with high complexity, as well as to understand their role in complexity theory. The research method used involves quantum computer simulations to analyze the performance of Shor and Grover's algorithms in solving cryptographic problems and large database searches, as well as comparing them with classical algorithms. The results show that quantum algorithms have significant advantages in solving certain problems, although there are technical obstacles in quantum hardware that affect overall performance. Quantum computing has great potential in the fields of cryptography and big data processing, but challenges such as quantum errors and decoherence still have to be overcome. The conclusion of this study confirms the importance of further research in improving quantum hardware and developing more efficient algorithms, as well as opening up new opportunities for the application of quantum computing in various industries.
The Role of AI in Personalized Learning: Enhancing Creative Thinking in Online Classrooms
Judijanto, Loso;
Al-Momani, Ammar;
Hanim, Siti Aisyah;
Nampira, Ardi Azhar
Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi
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DOI: 10.70177/innovatsioon.v2i4.2363
The rapid integration of Artificial Intelligence (AI) into education has transformed the dynamics of online learning, creating opportunities for personalized learning pathways. However, the potential of AI to enhance creative thinking skills among students remains underexplored. This study aims to investigate the role of AI-driven personalized learning systems in fostering creative thinking in online classrooms. A quantitative research design with a quasi-experimental approach was applied, involving 240 university students enrolled in fully online courses. The experimental group used AI-powered adaptive learning platforms, while the control group participated in conventional online learning. Data were collected through creative thinking tests and analyzed using ANCOVA to measure the impact of the intervention. The findings indicate that AI-based personalization significantly improves students’ creative thinking, particularly in generating novel ideas, problem-solving flexibility, and originality of responses. The study concludes that AI can serve as an effective catalyst for promoting creativity in digital learning environments by tailoring content, pace, and feedback to individual learners. This research provides evidence for integrating AI tools in designing student-centered online learning models that emphasize creativity as a 21st-century skill.
The Precision Agriculture Revolution in the United States: The Utilization of Drone Technology and Big Data
Judijanto, Loso;
Zaki, Amin;
Razak, Faisal
Techno Agriculturae Studium of Research Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi
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DOI: 10.70177/agriculturae.v1i3.1589
Precision agriculture is an innovative approach that is increasingly being applied in the United States to increase agricultural productivity through the use of cutting-edge technology. The background of this research focuses on the importance of adopting modern technologies, such as drones and big data, in addressing global challenges such as climate change, resource limitations, and increasing food needs. The purpose of this study is to explore how the integration of drone technology and big data can revolutionize the agricultural sector in the United States, specifically in improving efficiency, reducing waste, and increasing crop yields. This study uses a qualitative method with a case study approach to several agricultural companies that have adopted drone technology and big data. Data collection was carried out through in-depth interviews with farmers, document analysis, and field observations regarding the implementation of the technology. The data collected was then analyzed using thematic analysis methods to identify patterns and impacts that arise from the adoption of this technology. The results show that the use of drones allows for real-time monitoring of land, early detection of plant diseases, and more efficient resource management, while big data helps in more accurate data-driven decision-making. These two technologies significantly improve the productivity and sustainability of agriculture in the study area. The conclusion of this study confirms that the integration of drone technology and big data can make a great contribution in facing the challenges of modern agriculture. Precision agriculture, with the support of technology, has the potential to be a long-term solution to improve the efficiency and yield of agricultural production.
Innovation in Vertical Agriculture in Dutch Cities: Sustainable Solutions with Modern Hydroponics
Judijanto, Loso;
Chai, Nong;
Tubangsa, Ian
Techno Agriculturae Studium of Research Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi
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DOI: 10.70177/agriculturae.v1i3.1590
Vertical agriculture has emerged as an innovative solution to the challenge of food security in densely populated urban areas such as those in the Netherlands. The background of this research is driven by the need to find more efficient and sustainable agricultural methods amid the limitations of conventional agricultural land. The purpose of this study is to examine the potential application of modern hydroponic technology in vertical farming systems in urban Netherlands, as well as to analyze its impact on environmental and economic sustainability. This study uses a qualitative method with a case study approach, where data is collected through interviews with agricultural experts, literature analysis, and direct observation on vertical farming facilities using hydroponic technology. The results show that vertical farming systems with hydroponic technology are able to reduce water use by up to 90% compared to traditional agriculture, as well as increase crop production up to 3 times on the same land area. In conclusion, hydroponic vertical agriculture innovations not only provide solutions to urban land limitations, but also support more environmentally friendly and sustainable agricultural practices. However, challenges in terms of initial costs and technology are still the main obstacles that need to be overcome for wider implementation.
Urban Agricultural Revolution in Japan With Verticulture Technology
Judijanto, Loso;
Tan, Ethan;
Lee, Ava
Techno Agriculturae Studium of Research Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi
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DOI: 10.70177/agriculturae.v1i4.1596
Japan's urban agricultural revolution with vertical culture technology emerged as a solution to overcome the limitations of agricultural land due to rapid urbanization. Vertical culture technology allows the cultivation of plants in urban environments by utilizing vertical spaces, thereby increasing food security and reducing environmental impact. This study aims to analyze the development and impact of the application of verticulture technology in major Japanese cities, as well as identify the factors that support its success. The research method used is qualitative descriptive with data collection through in-depth interviews, direct observation, and secondary data analysis from government reports and scientific publications. The results show that the number of vertical culture installations in Japan has increased significantly in the last five years, supported by government policies and local community initiatives. In addition to increasing food production in urban areas, this technology also helps create green spaces and improve environmental quality in densely populated areas. The conclusion of this study is that verticulture can be a sustainable solution for urban food security, but further research is needed to evaluate the long-term impact on the environment and energy efficiency.
Application of Robotics in Large-Scale Agriculture in Australia
Judijanto, Loso;
Takahashi, Haruto;
Nakamura, Yui
Techno Agriculturae Studium of Research Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi
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DOI: 10.70177/agriculturae.v1i4.1597
Large-scale agriculture in Australia faces various challenges, such as labor shortages, land management efficiency, and suboptimal use of resources. Robotic technology offers innovative solutions to address these problems by automating agricultural processes, such as planting, fertilizing, and harvesting. This study aims to evaluate the impact of the application of robotics technology in large-scale agriculture in Australia, including its impact on productivity, resource use efficiency, and environmental sustainability. The research uses a combined qualitative and quantitative approach. Quantitative data was collected through surveys of farmers in different regions of Australia, while qualitative data was obtained from in-depth interviews with farmers and agronomists. The data collected was analyzed to understand the impact of robotics technology on productivity and resource use. The results show that the use of robotic technology increases productivity by 20% in the wheat and cotton sectors. In addition, the use of sensor-based automated irrigation systems reduces water consumption by up to 30%, while drones for pesticide applications help reduce chemical use by up to 25%. Robotics technology has contributed significantly to improving the efficiency of large-scale agriculture in Australia, both in terms of increasing crop yields and reducing resource use. These findings suggest that robotics can be a sustainable solution for modern agriculture, although more research is needed to evaluate its long-term impact on the environment.