Machine Learning Approach for Smart City Development
A Comprehensive Study on IoT Integration and Data Analytics
Penulis: Dr. Ahmad Sutanto, Prof. Sri Wahyuni, M.Eng, Dr. Bambang Priyanto
Informasi Konferensi
Konferensi: International Conference on Information and Communication Technology (ICICT)
Tanggal: 2024-10-15
Lokasi: Jakarta, Indonesia
Abstrak
Abstract
This paper presents a comprehensive study on the application of machine learning techniques in smart city development through IoT integration and data analytics. The research focuses on developing efficient algorithms for urban data processing, real-time decision-making systems, and predictive analytics for city management.
Key Contributions:
- Novel machine learning framework for smart city data processing
- IoT integration architecture for real-time urban monitoring
- Predictive analytics model for traffic and energy management
- Case study implementation in Jakarta smart city initiative
The experimental results demonstrate significant improvements in urban resource management efficiency, with 25% reduction in traffic congestion and 30% improvement in energy consumption optimization.
Kata Kunci
machine learning, smart city, IoT, artificial intelligence, data analytics, urban computing