http://journal2.uad.ac.id/index.php/tech/issue/feed 2024-06-24T15:17:17+00:00 Tole Sutikno ts@ee.uad.ac.id Open Journal Systems <p>The <strong>High-Tech and Innovative Series</strong> is a semi-annual peer-reviewed open-access book chapter series dedicated to emerging technologies and innovations. Emerging technology and innovation trends shape industries, businesses, and society by influencing interactions, work, and lifestyle. Staying compeatitive in a rapidly changing digital landscape necessitates staying current on these trends, making informed decisions about adopting new tools, and capitalizing on growth opportunities.</p> <p>Technology is constantly evolving, enabling faster change and progress. Engineers and IT professionals must stay current with emerging technologies and trends to secure high-paying jobs around the world. The top emerging technology trends include AI-generated content, quantum computing, 5G expansion, virtual reality 2.0, augmented reality in retail, IoT in smart cities, biotechnology in agriculture, autonomous vehicles, blockchain beyond crypto, edge computing, personalized medicine, neuromorphic computing, and green energy technologies. AI-generated content uses algorithms to generate high-quality content, while quantum computing uses quantum mechanics to process information faster. 5G expansion enables real-time communication and processing of large amounts of data with minimal delay, supporting a new wave of technological innovation. AR in retail visualizes products in real-world contexts, while IoT in smart cities manages complexities and improves living conditions. Blockchain Beyond Crypto provides transparency, enhances security, and reduces fraud. These advancements are transforming industries, enhancing learning outcomes, reducing training costs, and promoting sustainability. The development of these technologies is crucial for enhancing the quality of life and ensuring the safety of individuals and the environment.</p> http://journal2.uad.ac.id/index.php/tech/article/view/10929 2024-06-24T09:03:29+00:00 Tole Sutikno ts@ee.uad.ac.id Lina Handayani lina.handayani@ikm.uad.ac.id

<p>Urban waste management is a pressing global issue because of rapid urbanization and population growth. Researchers have developed innovative technologies to responsibly treat, recycle, and dispose of urban waste, thereby mitigating environmental impact and public health risks. Waste collection technologies, such as the garbage monitoring system (GMS) and IoT technology, help municipalities monitor waste generation patterns and optimize collection schedules. Advanced treatment methods are crucial for managing medical waste, requiring advanced treatment technologies to mitigate risks and improve disposal processes. Innovative waste-to-energy plants, recycling facilities, and smart sorting technologies can reduce urban waste's environmental impact and promote sustainability. These technologies minimize landfill waste, generate renewable energy, and recover valuable materials. In conclusion, urban waste management technologies are essential for reducing environmental impact, promoting sustainability, and improving resource efficiency in cities. However, widespread implementation requires further research and investment.</p> <p style="text-align: justify; margin: 0cm 16.95pt 0cm 14.2pt;"><span style="font-size: 10.0pt; font-family: 'Calibri',sans-serif;"> </span></p>

2024-06-01T00:00:00+00:00 Copyright (c) 2024 High-tech and Innovative Series http://journal2.uad.ac.id/index.php/tech/article/view/10931 2024-06-24T09:33:39+00:00 Tole Sutikno tole@te.uad.ac.id Lina Handayani lina.handayani@ikm.uad.ac.id Munawar Agus Riyadi munawar@elektro.undip.ac.id Mochammad Facta facta@elektro.undip.ac.id

<p>Urban waste management technologies, such as sensor-based systems, waste-to-energy plants, and advanced recycling facilities, play a crucial role in tackling environmental issues and enhancing resource efficiency in urban regions. These technologies have the potential to increase recycling rates and minimize environmental impact. However, due to financial limitations and infrastructure constraints, strong policy support is necessary. State-of-the-art waste segregation technologies, such as robotic arms and optical sorting machines, optimize the process. Intelligent digital technologies, such as effective recycling and waste-to-energy solutions, adhere to environmental regulations and encourage community involvement. Implementing AI-powered solutions in waste-to-energy conversion processes can improve operational efficiency and promote sustainability. An all-encompassing strategy that considers legal, technical, economic, and cultural factors is essential. The Garbage Monitoring System (GMS) exemplifies how sensor technologies and data analytics are transforming waste collection processes.</p>

2024-06-01T00:00:00+00:00 Copyright (c) 2024 http://journal2.uad.ac.id/index.php/tech/article/view/10936 2024-06-24T11:51:16+00:00 Tole Sutikno tole@te.uad.ac.id Arsyad Cahya Subrata arsyad.subrata@te.uad.ac.id Mohd Hatta Jopri hatta@utem.edu.my Eneng Nuraeni eneng.iaes@gmail.com

<p>Sensor technologies are revolutionizing urban waste management by enabling real-time monitoring of waste levels, optimizing collection routes, and providing data-driven insights for sustainable waste management practices. These technologies can reduce operational costs, minimize environmental impact, and enhance cleanliness and quality of life for residents. Ultrasonic sensors measure waste container fill levels in real time, whereas gas sensors monitor harmful gases from landfills. Optical sensors automate waste sorting and recycling processes, enhancing sustainability and effectiveness. However, compatibility and standardization are key challenges in integrating different systems, as there is a lack of uniformity in data collection and processing. The diversity of waste types and compositions in urban areas also impacts the reliability and accuracy of sensor systems. To fully harness the potential of sensor-based technologies in urban waste management, further research and development are necessary to address challenges such as sensor reliability, data security, and public acceptance.</p>

2024-06-01T00:00:00+00:00 Copyright (c) 2024 http://journal2.uad.ac.id/index.php/tech/article/view/10937 2024-06-24T12:45:51+00:00 Tole Sutikno tole@te.uad.ac.id Imam Much Ibnu Subroto imam@unissula.ac.id Deris Stiawan deris@unsri.ac.id Lina Handayani lina.handayani@ikm.uad.ac.id

<p>Urban waste management is undergoing a transformation due to rapid population growth, leading to increased waste generation. Smart technologies, such as data analytics, sensor networks, and IoT devices, can optimize waste collection, sorting, and recycling processes, enhancing resource allocation, reducing environmental impact, and improving efficiency. Advanced technologies like convolutional neural networks (CNN) and deep learning models can revolutionize waste segregation, sorting processes, and operational efficiency. The use of swarm intelligence and the Internet of Things for opportunistic data collection presents promising solutions. Sensor technologies can also revolutionize waste monitoring practices, promoting environmental sustainability. However, there are gaps in rural solid waste management systems, necessitating effective citizen participation for comprehensive success.</p>

2024-06-01T00:00:00+00:00 Copyright (c) 2024 http://journal2.uad.ac.id/index.php/tech/article/view/10938 2024-06-24T13:26:31+00:00 Tole Sutikno tole@te.uad.ac.id Deris Stiawan deris@unsri.ac.id Imam Much Ibnu Subroto imam@unissula.ac.id Lina Handayani lina.handayani@ikm.uad.ac.id

<p>Due to rising waste and limited disposal space, urban waste management is crucial. Modern recycling methods can reduce landfill waste and maximize resource recovery. These technologies recover valuable materials from waste streams using waste-to-energy systems and advanced sorting. Cities can move towards a circular economy by incorporating advanced recycling technologies into waste management systems. In traditional materials recovery facilities (MRFs), robotics and AI transform waste separation, recycling, and environmental impact. Ecological balance and resource efficiency are promoted by smarter urban waste management. Environmental and economic benefits from advanced recycling technologies in urban smart waste management could boost economic growth and sustainable urban development. Innovations like AI-enabled sorting, IoT-based waste monitoring, and robotic waste collection are changing urban waste management. These innovations boost efficiency, reduce pollution, and recycle resources. For maximum benefits, integration requires stakeholder collaboration and ongoing research.</p>

2024-06-01T00:00:00+00:00 Copyright (c) 2024 http://journal2.uad.ac.id/index.php/tech/article/view/10940 2024-06-24T14:06:20+00:00 Tole Sutikno tole@te.uad.ac.id Haris Imam Karim Fathurrahman haris.fathurrahman@te.uad.ac.id Tri Wahono 2307057010@webmail.uad.ac.id Lina Handayani lina.handayani@ikm.uad.ac.id

<p>Urban waste management is a critical issue due to population growth and urbanization, requiring sustainable and innovative approaches. Robotics technologies offer promising solutions to optimize waste collection, sorting, and recycling processes in urban environments. By incorporating robotics into waste management systems, cities can enhance efficiency, reduce environmental impact, and improve urban sustainability. Robotics can automate tasks, reduce manual labor, and improve safety by minimizing human exposure to hazardous environments. They can also enhance waste monitoring and tracking, enabling real-time data collection and analysis. Artificial intelligence can result in predictive maintenance systems, reducing downtime and improving system reliability. However, the environmental impact and cost-effectiveness of robotic waste disposal systems in urban environments need further research. Future research should focus on advanced G-IoT applications, cybersecurity concerns, and evaluating the impact of IoT on waste reduction and resource optimization</p>

2024-06-01T00:00:00+00:00 Copyright (c) 2024 http://journal2.uad.ac.id/index.php/tech/article/view/10941 2024-06-24T15:17:17+00:00 Tole Sutikno tole@te.uad.ac.id Ardiansyah Ardiansyah ardiansyah@tif.uad.ac.id Ardi Pujiyanta ardipujiyanta@tif.uad.ac.id Lina Handayani lina.handayani@ikm.uad.ac.id

<p>Efficiency and sustainability are being transformed by artificial intelligence (AI) in waste management. City waste collection, sorting, recycling, and disposal processes can be streamlined, sustainable, and environmentally friendly by using robotics and AI. Artificial intelligence can improve waste classification accuracy, efficiency, and cost. Automatic sorting, machine learning waste classification, and smart containers with sensors can improve waste segregation and disposal. For successful implementation, data privacy, regulatory compliance, and technological scalability must be addressed. AI can improve sorting accuracy, reduce contamination, and adapt to altered waste compositions. Artificial intelligence, IoT, and smart bins can optimize waste collection routes, lower costs and emissions, and boost efficiency. Waste recycling systems can improve recycling rates and quality control with AI, promoting a circular economy. We must set industry standards and regulations for ethical implementation. AI waste management could improve environmental sustainability and public health.</p>

2024-06-01T00:00:00+00:00 Copyright (c) 2024