Authors:

EVI NOVIYANTARI FATIMAH, I KOMANG GDE SUKARSA, MADE SUSILAWATI

Abstract:

“This research is aim to determine the comparison of logistic regression models and models Geographically Weighted Logistic Regression and the factors that significantly affect the risk of pneumonia in toddlers in East Java Province. Logistic regression is a statistical analysis that is used to describe the response variable is categorical with the independent variables are categorical or continuous. The main problem of this method if it’s applied in data that is affected of geographic location or spatial data. One of many method to solve the spatial data is Geographically Weighted Logistic Regression (GWLR). GWLR is a statistical method for analyze the data to account for spatial factor. The results showed that there are no significant differences between the logistic regression model with GWLR model. Factors that significantly affect the risk of pneumonia in toddlers in East Java Province is the percentage of low birth weight, the percentage of toddlers who get measles immunization, the percentage of toddlers who get vitamin A, and the percentage of toddlers who get DPT+HB immunization.”

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PDF:

https://jurnal.harianregional.com/mtk/full-13466

Published

2015-05-30

How To Cite

FATIMAH, EVI NOVIYANTARI; SUKARSA, I KOMANG GDE; SUSILAWATI, MADE. PEMODELAN RISIKO PENYAKIT PNEUMONIA PADA BALITA DI PROVINSI JAWA TIMUR DENGAN PENDEKATAN GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION.E-Jurnal Matematika, [S.l.], v. 4, n. 2, p. 31 - 36, may 2015. ISSN 2303-1751. Available at: https://jurnal.harianregional.com/mtk/id-13466. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/MTK.2015.v04.i02.p085.

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Issue

Vol 4 No 2 (2015)

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License