Dashboard IoT untuk Real-Time Monitoring Berbasis Node-RED dengan JSON dan Edge Computing pada Raspberry Pi

Authors

  • Luh Putu Ary Sri Tjahyanti Universitas Panji Sakti, Singaraja
  • Putu Aditya Pratama Universitas Panji Sakti, Singaraja
  • Putu Shantiawan Prabawa Universitas Panji Sakti, Singaraja
  • Made Santo Gitakarma Universitas Pendidikan Ganesha, Singaraja

DOI:

https://doi.org/10.53842/juki.v8i1.2387

Keywords:

Internet of Things, Node-RED, Raspberry Pi, Edge Computing, Real-Time Monitoring

Abstract

The development of the Internet of Things (IoT) has enabled the implementation of real-time environmental monitoring systems in various sectors, including education. However, many schools still rely on manual facility monitoring, resulting in underutilized monitoring data. This study aims to develop and implement an IoT-based monitoring dashboard using Node-RED with JSON data exchange on a Raspberry Pi as an edge computing device to support real-time monitoring of school facilities at SMK Negeri 2 Seririt. The research adopts an applied research approach using a system engineering method that includes requirements analysis, system design, implementation, and system performance evaluation. The developed system utilizes Raspberry Pi as the edge device, Node-RED as the data integration platform, and a web-based dashboard for visualizing sensor data. The testing results show that the system achieves a data processing success rate of 98% with an average response time of 2.1 seconds, and reduces manual monitoring activities by approximately 35%. The contribution of this study lies in the development of an edge computing-based IoT monitoring dashboard and its direct implementation in a school environment, supporting data-driven smart school initiatives.

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References

S. Madakam, R. Ramaswamy, and S. Tripathi, “Internet of Things (IoT): A Literature Review,” Journal of Computer and Communications, 2021.

A. Alsharif et al., “IoT-Based Smart Monitoring Systems: Applications and Challenges,” IEEE Access, 2022.

M. A. Hossain et al., “Smart School Framework Using IoT Technologies,” Sensors, 2023.

S. K. Sharma and X. Wang, “Toward Smart Education: IoT-Based Monitoring Systems,” Education and Information Technologies, 2022.

R. Kumar et al., “Challenges in IoT-Based Monitoring Systems,” Future Internet, 2021.

Y. Liu et al., “Cloud-Based IoT Monitoring Systems: A Review,” Future Generation Computer Systems, 2022.

W. Shi et al., “Edge Computing: Vision and Challenges,” IEEE Internet of Things Journal, 2021.

M. Satyanarayanan, “The Emergence of Edge Computing,” Computer, 2022.

D. Atmodjo et al., “Node-RED-Based IoT System Integration and Dashboard Development,” Journal of ICT Research and Applications, 2023.

E. Upton, “Raspberry Pi in IoT Applications,” Electronics, 2022.

Y. K. Dwivedi et al., “Artificial Intelligence (AI): Multidisciplinary Perspectives,” International Journal of Information Management, 2021.

J. Xu et al., “System Engineering Approach in IoT Systems,” IEEE Access, 2022.

J. Roostaei et al., “IoT-Based Edge Computing for Environmental Monitoring,” Sensors, 2023.

P. P. Ray, “JSON-Based Data Communication in IoT Systems,” Journal of Ambient Intelligence and Smart Environments, 2021.

A. Faroqi, “Usability Evaluation of Information Systems,” Nusantara Science and Technology Proceedings, 2024.

S. Anita, “Likert Scale Analysis in System Evaluation,” Journal of Smart Computing Systems, 2025.

H. Gupta et al., “Reliability Analysis of IoT Systems,” IEEE Access, 2022.

J. Xu et al., “Edge Computing for Real-Time IoT Applications,” IEEE Access, 2024.

D. Romero et al., “Cloud-Based IoT Monitoring Systems and Limitations,” Results in Engineering, 2024.

M. Chiang and T. Zhang, “Fog and Edge Computing in IoT Systems,” IEEE Internet of Things Journal, 2022.

M. Blackstock and R. Lea, “IoT Flow-Based Programming Using Node-RED,” Future Internet, 2021.

R. Hermawan et al., “IoT Monitoring Systems in Smart Environments,” Sustainable Computing, 2025.

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Published

2026-05-27

How to Cite

Tjahyanti, L. P. A. S. ., Pratama, P. A. ., Prabawa, P. S. ., & Gitakarma, M. S. . (2026). Dashboard IoT untuk Real-Time Monitoring Berbasis Node-RED dengan JSON dan Edge Computing pada Raspberry Pi. JUKI : Jurnal Komputer Dan Informatika, 8(1), 166–181. https://doi.org/10.53842/juki.v8i1.2387