GIS Technology provides a systematic spatial and attribute representation and has been a tool to solve complex problems in spatial data analysis. Aquaculture farm data collection and assessing the suitability of various site locations are unique problems in aquaculture farm information management. The research aims to create a system that will aid information management of aquaculture farms on decision-making by improving data processing to provide accurate information, automating data organization, and collecting spatial data for analysis. The system can compare the spatial data generated to the region's actual distribution of aquaculture farms. The study used descriptive methods such as interviews, observations, field visits, and data collection to address challenges associated with the collection of non-spatial and spatial data. The software development process uses the Scrum framework as a guide during the system's development. The developed system used the GMapGIS application, integrated with the Visual Basic.Net framework and SQL Server creation of the database. The point pattern analysis technique was applied to determine the most general commodities and culture type to establish the point locations of the various aquaculture farms. The application used a network of interconnected clients to connect to the central server. The general assessment of the developed system gave "very great extent" of compliance based on the user-end evaluation in terms of the ISO/IEC 25010 Software Quality Standards and a 5-point Likert Scale.

Keywords : GIS, Spatial Data Analysis, Aquaculture Farm, Information Management.