APLIKASI REGRESI SPLINE TRUNCATED PADA DAMPAK KEBAKARAN HUTAN TERHADAP PENDERITA ISPA DI PROVINSI RIAU TAHUN 2015-2020

Simple item page
dc.contributor.authorPutri, Yustitio Mauli
dc.contributor.supervisorSirait, Haposan
dc.date.accessioned2023-03-16T03:08:58Z
dc.date.available2023-03-16T03:08:58Z
dc.date.issued2022-12
dc.description.abstractForest 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.en_US
dc.description.sponsorshipFakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10909
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectForest firesen_US
dc.subjectscatterplotsen_US
dc.subjecttruncated spline regressionen_US
dc.subjectthe selection of the optimum knot pointen_US
dc.subjectand generalized cross validationen_US
dc.titleAPLIKASI REGRESI SPLINE TRUNCATED PADA DAMPAK KEBAKARAN HUTAN TERHADAP PENDERITA ISPA DI PROVINSI RIAU TAHUN 2015-2020en_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Yustitio Mauli Putri_compressed.pdf
Size:
264.32 KB
Format:
Unknown data format
Description:
artikel
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Mathematics