Spatial Asset Management System's Integration with AI and IoT-Logger to Reduce Water Loss

Loss of water due to channel leaks has become an urgent problem in Indonesia which reaches up to 75%. The research aims to identify leak locations and their impacts, as well as the number of customers affected by the use of spatial asset management (SAM)-based technology integrated with internet of things devices. Furthermore, this research is conducted to develop spatial data models using artificial intelligence techniques and spatial analysis. Two types of methods is used in this research, Quantitative Data Analysis (QDA) and Data Visualization (DV). The scope is limited to PDAM Kota Malang Data to conduct the research. The results show the SAM reduced leaks by up to below 20%.