Enterprise Architecture for Efficient Integration of IoT Lighting System in Smart City Framework

Authors

DOI:

10.33395/sinkron.v8i2.13591

Keywords:

Enterprise Architecture, Energy Efficiency, System Integration, Internet of Things, Smart City

Abstract

This research investigates the influence of enterprise architecture design in integrating Internet of Things (IoT)-based street lighting systems into an innovative city framework, emphasizing the importance of efficient lighting infrastructure as a fundamental component of a creative urban ecosystem. With a focus on building an architectural model that supports the integration of IoT street lighting with other components of a smart city, this research addresses the knowledge gap in optimizing enterprise architecture design for integration efficiency, considering technological complexity and interoperability needs between systems. The methodology applied involved an in-depth analysis of the architectural components essential to facilitate the integration of IoT-based street lighting within the more extensive intelligent city infrastructure. The findings of this study show that a well-structured enterprise architecture model can significantly improve operational efficiency, reduce energy consumption, and provide a rich source of data for strategic decision-making regarding the management and maintenance of city infrastructure. Furthermore, these results emphasize the importance of an adaptive and unified architecture design, which not only improves the functionality of the lighting system but also strengthens the synergy between IoT technologies and innovative city operations. These discoveries have a wide range of repercussions and implications, offering new insights into designing enterprise architectures that can support the transition to more efficient and sustainable smart cities, thereby improving the quality of service for citizens.

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References

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How to Cite

Amalia, N. ., & Hindarto, D. (2024). Enterprise Architecture for Efficient Integration of IoT Lighting System in Smart City Framework. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 8(2), 1091-1099. https://doi.org/10.33395/sinkron.v8i2.13591

Issue

Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024

Section

Articles

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Copyright (c) 2024 Nadia Amalia, Djarot Hindarto

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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