STUNTING DETERMINANTS AMONG TODDLERS IN PROBOLINGGO DISTRICT OF INDONESIA USING PARAMETRIC AND NONPARAMETRIC ORDINAL LOGISTIC REGRESSION MODELS

Stunting is a chronic nutritional problem in toddlers characterized by a shorter height than other children of their age. Stunting is a major nutritional problem faced by Indonesia. This research aimed to develop a risk model for the incidence of stunting in toddlers. This research was conducted in the village of stunting locus in the Public Health Center area that was selected to be the sample in Probolinggo District. Data were collected in the villages of Alaspandan, Bucorwetan, Petunjungan, and Sukodadi. The samples taken were 202 toddlers. The results show that the prevalence of a stunted toddler was 26.7% consisting of 21.3% moderately stunting and 5.4% severely stunting, and birth length, maternal height, and health services were important determinants of stunting in toddlers. Also, the value of the classification accuracy of the obtained model using parametric ordinal logistic regression approach was 72.45% which is less than that using nonparametric ordinal logistic regression approach namely 73.98%. It means that the best model for modeling risk of toddlers stunting in Probolinggo District was obtained based on the nonparametric logistic regression approach.