The Use of Data Science and Big Data Analytics in Smart Environment for Environmental Quality Evaluation in Jakarta City

Abstract

This research investigates the use of data science and big data analytics in smart environments to evaluate environmental quality in Jakarta City through a descriptive analysis of existing literature. The study examines resource management techniques, the application of machine learning models in simulations, edge data center deployment, and the integration of these technologies in smart city and energy management applications. By synthesizing findings from various studies, the research aims to identify how big data can improve environmental policies and resource management strategies in Jakarta, thereby addressing environmental challenges and promoting sustainable urban development.