Integration of Geographic Information Systems and Spatial Data Analysis in Location Decision Making for Manufacturing Industries

Abstract

-This research analyzes potential locations for the manufacturing industry studied using a GIS approach and data analysis. Researchers combine statistical and spatial analysis methods and unique techniques such as TOPSIS and MOORA to evaluate the most suitable locations based on predefined criteria. Key findings show that Purbalingga Regency is the optimal location, supported by high labor availability, developed logistics infrastructure, and supportive environmental regulations. Sumedang Regency also shows good potential, especially regarding vital market accessibility and strict environmental regulations. However, Bengkulu City faces challenges in several aspects, such as underdeveloped logistics infrastructure and suboptimal ecological regulations. The implications of these findings for manufacturing location decision-making practices, the advantages and disadvantages of GIS approaches and data analysis, and the research contributions to science and the manufacturing industry are also discussed in depth. Thus, this research provides valuable insights for decision-makers in allocating resources and planning investments in the manufacturing industry.