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SMART TRUCK WEIGHING SYSTEM WITH SECURE INTEGRATION

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dc.contributor.author Purnamasari, Bulan
dc.date.accessioned 2025-05-28T04:00:59Z
dc.date.available 2025-05-28T04:00:59Z
dc.date.issued 2024
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/12872
dc.description.abstract The evolution of smart truck weighing systems represents a significant advancement in logistics and transportation, addressing inefficiencies and enhancing accuracy in freight management. This paper explores the integration of a smart truck weighing system with a secure data management framework, emphasizing its technological underpinnings and potential benefits. Traditional weighing methods, often manual and error-prone, are being superseded by automated, sensor-based systems that leverage the Internet of Things (IoT) and advanced analytics. These smart systems provide real-time weight data, reducing the risk of human error and improving overall efficiency. A critical aspect of this integration is the secure transmission and storage of data. With the increase in cyber threats, it is imperative to safeguard the integrity and confidentiality of the information collected. The proposed system employs advanced encryption techniques and secure communication protocols, ensuring that data remains protected from unauthorized access and tampering. Blockchain technology is utilized to create an immutable record of transactions, enhancing transparency and trust among stakeholders. The smart weighing system's architecture includes edge computing to process data locally, minimizing latency and reducing the burden on centralized servers. This local processing capability ensures timely decision-making, crucial for dynamic logistics environments. The system also supports predictive analytics, enabling proactive maintenance and operational adjustments based on weight patterns and trends. This integration of smart weighing technology with secure data management not only streamlines the weighing process but also provides comprehensive insights into vehicle load distribution and compliance with regulatory standards. It facilitates seamless integration with existing fleet management systems, contributing to more efficient route planning and fuel consumption optimization. The system's scalability allows it to adapt to various operational scales, from small fleets to large transportation networks. In conclusion, the smart truck weighing system with secure integration represents a transformative approach to freight management, offering enhanced accuracy, security, and operational efficiency. This paper underscores the system's potential to revolutionize the transportation industry by fostering more intelligent and secure logistics practices. Future research will focus on expanding the system's capabilities and exploring new applications within the broader scope of smart transportation technologies. en_US
dc.language.iso en_US en_US
dc.publisher President University en_US
dc.relation.ispartofseries Information System;012202100084
dc.title SMART TRUCK WEIGHING SYSTEM WITH SECURE INTEGRATION en_US
dc.type Thesis en_US


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