%A NIM.: 18106010014 Frima Aji Umargani
%O Pembimbing: Dr. Epha Diana Supandi, S.Si., M.Sc.
%T PERBANDINGAN ANALISIS KORELASI KANONIK ANTARA METODE KLASIK DAN ROBUST (ESTIMASI M)  (STUDI KASUS : PENGARUH HUBUNGAN PERUBAHAN IKLIM DENGAN PENYAKIT MALARIA DAN DBD DI INDONESIA TAHUN 2020)
%X Canonical Correlation Analysis is a method used to identify and measure
linear relationships, which involve several dependent and independent variables.
Classical canonical correlation analysis using the variance covariance matrix does
not work well and will make the analysis of a series of data biased, or not reflect
the actual phenomenon due to data containing outliers.
In this study, we will compare the canonical correlation analysis between the
classical and robust methods (Estimation M) in the case of the effect of the
relationship between climate change and the emergence of Malaria and DHF in
Indonesia in 2020. Estimation M estimator can better replace the covariance
variance matrix from the classical method even though there are outliers and will
result in a more effective analysis.
The canonical correlation analysis method between classical and robust
methods (Estimation M) in this study was applied to the effect of the relationship
between climate change and the emergence of malaria and dengue in Indonesia in
2020. Based on the results of the robust canonical correlation analysis, it can be
interpreted further because it can find a significant function while classical
canonical correlation could not find a significant function. From the results of the
robust canonical correlation analysis, there are two significant functions but only
one function that can be interpreted further, namely 1 = 0.686886 where the
function is optimal. The results of the analysis show that the relationship that occurs
is the high air temperature, and rainfall, affects the high incidence of Malaria.
%K Demam Berdarah Dengue, Korelasi Kanonik, robust (Estimasi M)
%D 2022
%I UIN SUNAN KALIJAGA YOGYAKARTA
%L digilib54410