CD Skripsi
Metode Regresi Logistik Lasso Untuk Analisis Gizi Buruk Pada Balita Di Sumatera Tengah
ABSTRACT
The nutritional status of toddlers can be classified into two groups, namely normal
nutrition and malnutrition. The emergence of nutritional problems in toddlers can
be influenced by several things such as unbalanced nutrition, infectious diseases
and malnutrition. In this thesis, a selection is made of the factors that have an
influence on cases of toddlers malnutrition in 49 districts and cities in Middle
Sumatera. The study was conducted using the logistic regression method of Least
Absolute Shrinkage and Selection Operator (LASSO). The dependent variable is a
variable with two categories of cases in each region, namely above and below the
average. This study showed that there are three variables that influence cases of
toddlers malnutrition in Middle Sumatera, namely the number of poor people,
provincial minimum wage and the total population.
Keywords: Malnutrition of toddlers, logistic regression, least absolute shrinkage
and selection operator (LASSO)
Tidak tersedia versi lain