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Design and Implementation of SEMAR IoT Server Platform with Applications.

Yohanes Yohanie Fridelin Panduman1, Nobuo Funabiki1, Pradini Puspitaningayu1

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Summary

Smart Environmental Monitoring and Analytical in Real-Time (SEMAR) is a new IoT server platform that integrates diverse IoT application systems using standards. SEMAR enhances smart city capabilities through flexible data management and machine learning for real-time analysis.

Keywords:
Internet of ThingsIoT application systemMQTTREST APISEMARsensorserver platform

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Area of Science:

  • Computer Science
  • Environmental Science
  • Engineering

Background:

  • Internet of Things (IoT) technologies are rapidly advancing, enabling smart city development.
  • Current IoT application systems often lack standardization, hindering integration and collaboration.
  • Independent deployment of IoT systems leads to interoperability issues in smart city environments.

Purpose of the Study:

  • To design and implement a standardized IoT server platform for integrating diverse IoT application systems.
  • To develop a platform, SEMAR, that supports Big Data environments with machine learning capabilities.
  • To enhance interoperability and flexibility in smart city IoT integrations.

Main Methods:

  • Developed the Smart Environmental Monitoring and Analytical in Real-Time (SEMAR) IoT server platform.
  • Integrated built-in functions for data aggregation, synchronization, classification, and machine learning.
  • Implemented plug-in functions and Representational State Transfer Application Programming Interface (REST API) services for data access and external integration.
  • Integrated five distinct IoT application systems for evaluation: air-conditioning, indoor localization, water quality, environment, and air quality monitoring.

Main Results:

  • SEMAR successfully integrated five different IoT application systems.
  • The platform demonstrated efficient data aggregation, synchronization, and classification using machine learning.
  • SEMAR provided real-time data access through user interfaces, text files, and REST API services.
  • Evaluated systems showed direct data acceptance from various sensors and network connections.

Conclusions:

  • The proposed SEMAR IoT server platform offers superior flexibility and interoperability compared to existing solutions.
  • SEMAR facilitates seamless integration of IoT device management, data communication, and decision-making functions.
  • The platform's design allows easy integration with external programs and IoT applications without code modification, confirming its effectiveness and efficiency.