There is georeferenced data and information gap in protected areas tourism facilityrndevelopments site identification so these studies aimed at identify and prioritize suitable sit forrnecotourism facility development in Bale Mountains National Park (BMNP), using multi criteriarndecision making (MCDM) analytical hierarchical process (AHP) and by applying GeographicrnInformation System (GIS) technique. Therefore, Ecotourism facility development suitable sitesrnwere identified by seating criteria. For this study, five criteria were identified to evaluaternsuitability of sites, based on literature review, tourism master plans and regulations and expertsâ€™rnopinions. The identified criteria were slope, land use/land cover, elevation, distance to river andrnroad, where weights of the criteria were determined using the pair-wise comparison technique ofrnAHP. The site suitability model and suitability maps were generated in ArcMap 10.7.1 using Geornprocessing model builder and subsequently, the land suitability map of ecotourism was createdrnusing GIS spatial analyst weighted overlay tool.rnThe degree of suitability was classified as highly suitable, moderately suitable, marginallyrnsuitable and not suitable for ecotourism facility development. In general, the result of the landrnsuitability analysis for ecotourism facility development in this study yielded four suitabilityrnclasses, ranging from class 1 to 4. Class 1 represent the highly suitable areas which covers 1.6%rn(35.6 km2rn), Class 2 the moderately suitable areas make up about 26.2% (571.6 km2rn), 3rd class isrnmarginally suitable areas which covers 52.5% (1143.8 km2rn), and not suitable area groupedrnunder class 4 and account for 19.7 % (427.9 km2rn) of the study area. From the analysis, one canrnlearn that geographical information system and multi-criteria decision making framework canrnbe used as a solution for a complicated decisions making in ecotourism development and forrnproper site selection of land use planning in protected areas including BMNP.