Analisis Faktor-Faktor yang Memengaruhi Kesehatan Keluarga Provinsi Jawa Timur Tahun 2021 Menggunakan Analisis Komponen Utama dan Analisis Faktor

Sindy Ayu Porwitasari, Hellen Aldenia Rovi, Ifayanti Rohmatul Hidayah, Sri Pingit Wulandari

Abstract

Family health is a fundamental aspect in public health development and is one of the important indicators in measuring the welfare of a region. There are many indicators that cause family health problems, but in this practicum, several indicators will be used as follows, namely the percentage of low birth weight babies, the percentage of thin toddlers, the percentage of exclusive breastfeeding, the percentage of K1 service coverage, the percentage of K4 service coverage, the percentage of KN3 coverage, the number of neonatal deaths, the number of toddler deaths, the percentage of deliveries assisted by health workers, the number of maternal deaths, the percentage of postpartum family planning, and the percentage of elderly health service coverage. Principal Component Analysis (PCA) is a multivariate analysis technique that can be used to reduce data dimensions by producing new variables that are linear combinations of the original variables. So in this practicum, principal component analysis is used on factors that influence family health in East Java Province in 2021. Based on the results of the analysis, it was found that the data on factors that influence family health in East Java Province in 2021 have fulfilled the multivariate normal distribution, are interdependent, the data is sufficient to be factored, and have fulfilled the assumption of correlation between variables, and it was found that from 12 variables, 4 components were formed with a new factor analysis of the 4 components, namely the maternal and child mortality risk index, the health service coverage index, the infant and toddler nutritional health index, and the health welfare index.

Keywords

Factor Analysis, Principal Component Analysis, Family Health

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