Site suitability analysis for industrial zones in Boyolali Regency using geospatial data and random forest machine learning algorithm

Department of Civil and Planning, Diponegoro University, Semarang, Indonesia

^* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

The industrial sector plays a crucial role in driving regional economic growth. Therefore, the location of industrial areas is a fundamental aspect that directly impacts operational efficiency, the quality of life of the surrounding community, and environmental sustainability. Boyolali Regency, located at the heart of the Joglosemar triangle—connecting Yogyakarta, Solo, and Semarang—has a strategic location, making it suitable for industrial development. The development of the industry in Boyolali is expected to improve logistics efficiency and strengthen its appeal to investors and industries seeking expansion in Central Java. This study aims to determine potential locations for industrial area development in Boyolali Regency by utilizing the advantages of Geographic Information Systems (GIS) and geospatial data. The potential location model was analyzed using a random forest machine learning algorithm with existing industrial area location data as the training data. . The result obtained from this study is a map model of potential industrial development locations in Boyolali Regency. This study is expected to provide recommendations that will serve as important guidance for the government in taking initiatives and directing future investments, consistent with the region's long-term growth goals.