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All Journal Mathvision : Jurnal Matematika
Rizkyanto, Muhammad
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Mathematics

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REGRESI LOGISTIK MULTINOMIAL PADA FAKTOR-FAKTOR YANG MEMPENGARUHI KASUS MALNUTRISI DI KABUPATEN BONE BOLANGO Rizkyanto, Muhammad; Payu, Muhammad Rezky Friesta; Adityaningrum, Amanda
MathVisioN Vol 7 No 1 (2025): Maret 2025
Publisher : Prodi Matematika FMIPA Unirow Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55719/mv.v7i1.1653

Abstract

Malnutrition in children under five, including stunting, wasting, and underweight, is a significant public health issue in the Bone Bolango District. This study aims to examine the factors associated with these three categories of malnutrition using the multinomial logistic regression analysis. Data were collected from 150 children under five and analyzed based on gender, birth weight, birth length, history of exclusive breastfeeding, family income, history of infectious diseases, mother's education level, and iron supplement consumption during pregnancy. The correlation analysis revealed that five factors significantly correlate with malnutrition: gender, history of exclusive breastfeeding, family income, mother's education level, and iron supplement consumption during pregnancy. For the category of malnutrition with more than 1 case, compared to the stunting category, the value of Odds Ratio was 6.8 (p-value = 0.000). For the underweight category, when compared to stunting, the Odds Ratio values for gender and mother's education level were 4.0 (p-value = 0.009) and 0.3 (p-value = 0.047), respectively. In the case of wasting, when compared to stunting, the Odds Ratio values for exclusive breastfeeding and iron supplement consumption during pregnancy were 5.9 (p-value = 0.004) and 5.1 (p-value = 0.007), respectively. Moreover, the Hosmer and Lemeshow goodness of fit test indicated that the regression model was suitable (p-value = 0.126).
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