Robust SmartCityAI Lakehouse: IKN (New Capital City of Indonesia) Case Study

The rapid advancement of smart cities, driven by innovative communication and information technologies (ICT), has transformed urban management. This paper introduces the Robust SmartCityAI Lakehouse, a hybrid framework specifically designed to implement smart city solutions in IKN, the New Capital City of Indonesia. The proposed architecture seamlessly integrates diverse data sources and supports a wide range of applications, including real-time AI-driven transportation management, energy optimization, public safety enhancement, waste and water management, environmental monitoring, and air quality control. By leveraging both on-premises processing and scalable cloud infrastructure, this framework enhances urban sustainability and improves the quality of life for citizens. The paper also explores the key benefits and challenges of deploying this architecture, providing practical strategies for its implementation in complex urban environments.

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Publication Details

Published
2024-09-04
DOI
https://doi.org/10.1109/iciss62896.2024.10751179
Citations
1
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.20
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Robust SmartCityAI Lakehouse: IKN (New Capital City of Indonesia) Case Study

Suhono Harso Supangat, Davy Ronald Hermanus, Fadhil Hidayat, Danny Robert Hermanus
1 citations
Water Quality Monitoring Technologies
0.20
article

Robust SmartCityAI Lakehouse: IKN (New Capital City of Indonesia) Case Study

Suhono Harso Supangat, Davy Ronald Hermanus, Fadhil Hidayat, Danny Robert Hermanus
article en
1 citations

Abstract

The rapid advancement of smart cities, driven by innovative communication and information technologies (ICT), has transformed urban management. This paper introduces the Robust SmartCityAI Lakehouse, a hybrid framework specifically designed to implement smart city solutions in IKN, the New Capital City of Indonesia. The proposed architecture seamlessly integrates diverse data sources and supports a wide range of applications, including real-time AI-driven transportation management, energy optimization, public safety enhancement, waste and water management, environmental monitoring, and air quality control. By leveraging both on-premises processing and scalable cloud infrastructure, this framework enhances urban sustainability and improves the quality of life for citizens. The paper also explores the key benefits and challenges of deploying this architecture, providing practical strategies for its implementation in complex urban environments.

Bandung Institute of Technology (ID), Binus University (ID), Walden University (US)
Sustainable cities and communities
Openalex Percentile: Top 44%
Water Quality Monitoring Technologies
0.20
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