Abstract
Climate is the average weather conditions over a relatively long time. Climate change is a problem for living things, such as the agricultural sector. It affects the availability of community food reserves, public health, and socio-economics. The impact of climate change causes dramatic changes in agricultural patterns and shifts in planting time. Water availability for agricultural needs is complicated to predict, so the failure rate of agricultural production is getting bigger. Failure is due to a mismatch between the availability of water and the applied cropping pattern. This study aims to analyze and predict the spatial distribution of the Schmidt-Ferguson climate classification on Lombok Island from 2018-2035. This study generated rainfall data using the Thomas Fiering method from 18 rain stations on Lombok Island for 24 years (1994-2017). Determine the dry, moist, and wet months based on the Schmidt-Ferguson classification. From the analysis results, the most significant Q value is at the Geres Daya, Sapit, and Sopak rain stations with the classification