Putri, Yustitio Mauli2023-03-162023-03-162022-12PerpustakaanElfitrahttps://repository.unri.ac.id/handle/123456789/10909Forest fires are a crucial problem in Riau Province because they cause haze pollution that affects public activities and health. In 2019, based on data from the Health Office, victims of ARI disease have reached 281,626 people. Factors that are suspected to affect the number of people with ARI disease are nitrogen dioxide (𝑁02), sulfur dioxide (𝑆02), the number of hotspots, and the area of burnt areas. In this study, skunder data from 2015-2020 was used in 12 districts of Riau Province, by looking at the scatterplot of each variable that is suspected to be influential and does not have a certain pattern so that using the truncated spline regression method, the selection of the optimum knot point of the smallest generalized cross validation value is able to provide the best truncated spline regression model, the results of the method obtained can explain the forest fire against the large number of ARI sufferers. There are 2 variables that significantly affect the number of people with ARI, namely (𝑁02) and hotspots.enForest firesscatterplotstruncated spline regressionthe selection of the optimum knot pointand generalized cross validationArticle