Electricity is crucial for economic growth and human well-being, yet its primary generation from fossil fuels raises significant environmental and supply security issues. This study addresses these concerns by focusing on renewable wind energy, offering a safer and more sustainable alternative. Effective wind farm site selection, essential for long-term investment in wind infrastructure, requires a detailed analysis of technical, environmental, social, and spatial criteria. This research employs a multi-criteria decision-making (MCDM) model integrated with Geographic Information Systems (GIS) to pinpoint suitable locations for wind turbines in Sabah, Malaysia. Key factors considered include wind speed, topography, and proximity to power lines, land use, and environmental constraints. Utilizing data such as Digital Elevation Models (DEM), local wind measurements, geological data, and proximity to infrastructure, the study aims to establish appropriate criteria for wind farm location in Sabah, identify suitable sites using ArcGIS Pro, and generate suitability maps for wind energy farms. The study's findings reveal that Alipaga, Sabah, is the most suitable location for wind energy farms, primarily due to its favorable wind speed and topography. The Wind Energy Suitability Index Map created using the MCDM-GIS approach underscores the importance of these factors, alongside proximity to infrastructure, in determining optimal sites. The implications of this research are significant for Malaysia's renewable energy strategy, providing a practical framework for site selection that supports the country's shift towards sustainable energy sources.