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Kriez Academy
Published by Yayasan Kreatif Indonesia Emas
ISSN : 30318025     EISSN : -     DOI : -
Core Subject : Economy, Science, Social, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences
KRIEZ ACADEMY as a journal that places community development and service as its main focus, is pleased to receive research articles from community service projects. We invite researchers, academics, and practitioners to contribute with research that is not only academically orientated but also has a direct impact on the development and service of communities in Indonesia.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 1 No. 12 (2024): Kriez Academy - November" : 5 Documents clear
Harnessing IoT for Industrial Efficiency: Innovations in Automation and Process Optimization Aripin, Zaenal
KRIEZ ACADEMY : Journal of development and community service Vol. 1 No. 12 (2024): Kriez Academy - November
Publisher : Yayasan Kreatif Indonesia Emas

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Abstract

The Internet of Things (IoT) has become a transformative force in industrial automation, offering significant enhancements in efficiency, cost-effectiveness, and real-time decision-making. This study provides a comprehensive examination of IoT’s application in industrial settings, with a focus on its impact on predictive maintenance, real-time monitoring, supply chain management, quality assurance, and energy optimization. Using a mixed-method approach, the research integrates qualitative insights from case studies and interviews with quantitative data from industry surveys in Indonesia. The results reveal substantial improvements in operational performance, cost reduction, and workplace safety across various sectors. However, significant implementation challenges persist, including cybersecurity vulnerabilities, high initial investments, and interoperability issues. The findings underscore the critical need for strategic planning, standardization, and robust cybersecurity frameworks to fully leverage IoT’s potential in industrial environments.
ASSESSING THE ROLE OF NANOTECHNOLOGY IN ENHANCING BIOMEDICAL ENGINEERING APPLICATIONS Kumala Dewi, Nu
KRIEZ ACADEMY : Journal of development and community service Vol. 1 No. 12 (2024): Kriez Academy - November
Publisher : Yayasan Kreatif Indonesia Emas

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Abstract

Background: Nanotechnology has emerged as a transformative discipline, enabling groundbreaking advancements in biomedical engineering. The integration of nanoscale materials and techniques has revolutionized diagnostics, therapeutics, and regenerative medicine, offering unprecedented precision and efficiency. Aims: This paper examines the pivotal role of nanotechnology in advancing biomedical engineering applications, focusing on drug delivery systems, diagnostic tools, and tissue engineering innovations. Research Method: A comprehensive review methodology was employed, analyzing peer-reviewed articles, experimental studies, and clinical trials from reputable scientific databases. The analysis emphasized the design, synthesis, and implementation of nanomaterials and their impact on biomedical outcomes. Results and Conclusion: Nanotechnology significantly enhances drug delivery systems by enabling targeted therapy with minimized side effects. In diagnostics, nanosensors and imaging agents improve early disease detection. Tissue engineering has benefited from nanomaterials that mimic natural extracellular matrices, promoting cell proliferation and differentiation. Challenges such as biocompatibility, scalability, and regulatory issues persist but are gradually being addressed through interdisciplinary collaboration. Contribution: This study consolidates current knowledge on nanotechnology’s contributions to biomedical engineering and identifies future directions for research, emphasizing the need for ethical and sustainable practices in nanotechnology applications.  
INVESTIGATING THE INFLUENCE OF SMART GRID TECHNOLOGIES ON ENERGY DISTRIBUTION AND CONSUMPTION EFFICIENCY Dahyawan, Dodi
KRIEZ ACADEMY : Journal of development and community service Vol. 1 No. 12 (2024): Kriez Academy - November
Publisher : Yayasan Kreatif Indonesia Emas

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Abstract

Background:The global demand for energy is increasing at an unprecedented rate, necessitating more efficient methods of energy distribution and consumption. Traditional energy grids are becoming less efficient in handling the dynamic needs of modern consumers, leading to significant losses and inefficiencies. Smart grid technologies, which incorporate advanced information and communication technologies, offer promising solutions to address these challenges. Aims:This study aims to investigate the influence of smart grid technologies on energy distribution and consumption efficiency. It focuses on the impact of these technologies on reducing energy losses, improving demand response, and optimizing energy consumption patterns. Research Method:A mixed-method approach is employed in this research, combining qualitative case studies and quantitative data analysis. The study examines smart grid implementations in various regions, evaluating their effects on energy distribution efficiency through statistical analysis and real-world case studies. Data was collected from energy providers, consumers, and industry experts to assess the performance of smart grid systems. Results and Conclusion:The results indicate that smart grid technologies significantly improve the efficiency of energy distribution and consumption. Key benefits include a reduction in energy losses, better integration of renewable energy sources, enhanced demand response capabilities, and overall cost savings. However, challenges such as high initial investment costs and technological integration hurdles remain. The conclusion emphasizes the need for continued innovation and policy support to fully realize the potential of smart grids in achieving sustainable energy systems. Contribution:This study contributes to the understanding of how smart grid technologies can transform energy systems by enhancing efficiency and sustainability. It provides valuable insights for policymakers, energy providers, and researchers looking to adopt or improve smart grid technologies.
EXPLORING THE ROLE OF RENEWABLE ENERGY TECHNOLOGIES IN ACHIEVING SUSTAINABLE DEVELOPMENT GOALS Nehru, Kalmet
KRIEZ ACADEMY : Journal of development and community service Vol. 1 No. 12 (2024): Kriez Academy - November
Publisher : Yayasan Kreatif Indonesia Emas

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Abstract

Background: The rapid depletion of fossil fuels and growing concerns over climate change have led to an urgent need for renewable energy technologies (RETs) to meet the world's energy demands sustainably. RETs offer a solution to reduce greenhouse gas emissions, mitigate environmental degradation, and enhance energy security, directly supporting the United Nations Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action). These technologies have the potential to address pressing issues such as energy poverty, climate change, and economic inequality. Aims: This study aims to explore the role of renewable energy technologies in advancing sustainable development goals. Specifically, it focuses on examining the environmental, economic, and social impacts of RETs and evaluates the challenges and barriers to their widespread adoption. Additionally, the study seeks to provide policy recommendations to accelerate the integration of renewable energy systems worldwide. Research Method: The research employs a mixed-methods approach, combining both qualitative and quantitative methods. Respondents include policymakers, industry experts, and energy consumers, with purposive sampling for case studies and random sampling for surveys. The instruments used include structured interviews, surveys, and secondary data collection from reputable sources such as the International Renewable Energy Agency (IRENA) and the World Bank. The data collection procedure involves literature reviews, case study analyses, and survey distribution, followed by statistical analysis for quantitative data and thematic analysis for qualitative data. Results and Conclusion: The results of this study highlight that renewable energy technologies contribute significantly to reducing emissions, improving energy access, and creating employment opportunities. However, significant barriers still exist, such as high initial costs, technological challenges like intermittency, and the lack of consistent policies across regions. Overcoming these barriers requires comprehensive policy support, technological innovations, and international cooperation to ensure the successful integration of RETs into global energy systems, thereby achieving SDGs. Contribution: This research contributes to the body of knowledge on renewable energy by providing insights into the environmental, economic, and social benefits of RETs. It also offers practical recommendations for policymakers and stakeholders in the energy sector to foster the adoption of renewable energy technologies and contribute to achieving the SDGs.
EXAMINING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON AUTOMATION AND EFFICIENCY IN MANUFACTURING SYSTEMS Ruli Fahmi, Mohamad
KRIEZ ACADEMY : Journal of development and community service Vol. 1 No. 12 (2024): Kriez Academy - November
Publisher : Yayasan Kreatif Indonesia Emas

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Abstract

Background: The integration of Artificial Intelligence (AI) in manufacturing systems has revolutionized the way industries operate, offering significant improvements in automation, efficiency, and quality control. As manufacturing processes become increasingly complex, AI technologies such as machine learning, robotics, and computer vision have enabled manufacturers to streamline operations, reduce costs, and enhance productivity. Aims: The primary aim of this research is to examine the role of AI in enhancing operational efficiency and productivity within manufacturing environments. Specifically, the study seeks to evaluate the impact of AI on key areas such as predictive maintenance, robotics in production, quality control systems, and supply chain management. Additionally, it aims to assess the implications of AI on workforce dynamics and identify the benefits and challenges manufacturers face when implementing AI technologies. By doing so, the research intends to provide valuable insights into how AI adoption can drive sustainable growth and competitiveness in the manufacturing sector. Research Method: This study employs a mixed-methods approach, combining both qualitative and quantitative research methods to gain a comprehensive understanding of AI's impact on manufacturing. The qualitative component involves in-depth interviews with industry professionals, AI experts, and managers in manufacturing companies that have adopted AI technologies. The quantitative aspect consists of surveys distributed to manufacturing professionals to gather data on AI applications and their effectiveness. Results and Conclusion: The results of the study demonstrate that AI significantly enhances operational efficiency across various dimensions of manufacturing systems. Key benefits include reduced downtime through predictive maintenance, improved production speed and accuracy with robotics, enhanced product quality through AI-powered quality control systems, and optimized supply chain management. The integration of AI has also transformed the workforce, requiring reskilling and upskilling of employees. Despite challenges such as high initial costs, data integration issues, and concerns about workforce displacement, the study concludes that the long-term advantages of AI adoption outweigh these obstacles. Manufacturers that embrace AI technologies gain a competitive edge in the market by improving productivity, reducing operational costs, and enhancing the flexibility of their operations. Contribution: This research contributes to the existing body of knowledge by providing a detailed analysis of AI's role in modern manufacturing systems. The study not only highlights the technical and operational advantages of AI but also addresses the social implications, particularly in terms of workforce adaptation and skill development. By examining case studies and gathering insights from industry professionals, the research offers practical recommendations for manufacturers considering AI adoption. The findings can guide decision-makers in optimizing AI integration, ensuring that they realize both immediate and long-term benefits while mitigating potential challenges.

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