The application of cubic spline in rainfall modelling in Bogor and its impact on paddy production

Abstract

Rice is a crop that serves as a primary food source to fulfill the carbohydrate needs of the population, especially in Indonesia. In the agricultural production process, several factors can influence the eventual yield. One of these factors is rainfall. Rainfall is the amount of precipitation in a specific area within a certain period. Rainfall can be classified based on its intensity, and the more extreme the rainfall is, the more it affects various activities, including agriculture. This research explores rainfall interpolation using the Cubic Spline and examines the correlation between rainfall and paddy productivity. Cubic Spline is one of interpolation methods used to approximate and calculate a function that is smooth and continuous but retains the shape of the data. This study demonstrates that Cubic Spline interpolation is suitable for modeling rainfall and illustrating the relationship between rainfall intensity and paddy production. This can provide insight into rainfall criteria, especially helping farmers in determining production periods, as well as providing important information for decision making in the agricultural sector.