This research is motivated by the agricultural sector ranks first and plays a vital role in GRDP income in Majalengka Regency. This study aims to predict areas suitable for land use for sustainable food agriculture (LP2B) and evaluate land suitability for rice. We use the Analytical Hierarchical Process (AHP), and Geography Information System (GIS) approaches to give weight to the suitability of criteria and sub-criteria that influence multi-criteria decisions. Including using parameters; Soil morphology, elevation, rainfall, water cover, land area, disaster risk, erosion, and slope are the criteria identified as requirements for the intended application. The resulting weights to build a suitability map layer using a weighted sum overlay tool on a GIS platform by involving government stakeholders in Majalengka Regency. The results showed that the map of the evaluation of the suitability of rice production in the study area with the land was very suitable, namely 11% (15,038.49 ha) of the total study area, which was very suitable for rice production. The relationship between suitability maps and changes in spatial patterns in 2022 in the study area has also overlapped. The results showed the suitability of the spatial plan with the results of the suitability map of paddy fields.