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All Journal Jurnal Aplikasi Statistika & Komputasi Statistik
Alda Fuadiyah Suryono
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Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Modeling the Stunting Prevalence Rate in Indonesia Using Multi-Predictor Truncated Spline Nonparametric Regression Alda Fuadiyah Suryono; Kurniawan, Ardi; Widyangga, Pressylia Aluisina Putri; Dewanti, Maria Setya
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 16 No 1 (2024): Jurnal Aplikasi Statistika & Komputasi Statistik
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v16i1.719

Abstract

Introduction/Main Objectives: Stunting is the impaired growth and development that children experience from poor nutrition, repeated infection, and inadequate psychosocial stimulation. Background Problems: Based on data from the National Nutrition Status Survey (SSGI) in 2022, the prevalence of stunting in Indonesia was 21.6%, which is still above the WHO standard of below 20%. Novelty: This study was conducted with the aim of analysing the factors that influence the stunting prevalence rate in Indonesia using multi-predictor truncated spline nonparametric regression. Research Methods: The research data is secondary data taken from Health Statistics 2022 with response variables in the form of stunting prevalence. Finding Result: Based on the analysis, the best model to model the stunting prevalence rate is a multi-predictor truncated spline with three knots. In addition, it was found that four predictor variables which are the percentage of infants under 6 months old receiving exclusive breastfeeding, the average age of a mother's first pregnancy, the percentage of married women aged 15-49 using contraception, and the percentage of mothers who gave birth to a live child in the past two years and initiated early breastfeeding had a significant effect simultaneously and partially on the stunting prevalence rate in Indonesia.
Pemodelan Angka Prevalensi Stunting di Indonesia Menggunakan Regresi Nonparametrik Spline Truncated Multiprediktor Pressylia Aluisina Putri Widyangga; Alda Fuadiyah Suryono; Maria Setya Dewanti; Ardi Kurniawan
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 16 No 1 (2024): Jurnal Aplikasi Statistika & Komputasi Statistik
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Stunting merupakan gangguan pertumbuhan dan perkembangan yang dialami anak akibat gizi buruk, infeksi berulang, dan stimulasi psikososial yang tidak memadai.. Berdasarkan data Survei Status Gizi Nasional (SSGI) tahun 2022, prevalensi stunting di Indonesia adalah 21,6% dimana angka tersebut masih diatas angka standar menurut WHO yaitu 20%. Penelitian ini dilakukan dengan tujuan untuk menganalisis faktor-faktor yang mempengaruhi angka prevalensi stunting di Indonesia menggunakan regresi nonparametrik spline truncated multiprediktor. Data penelitian merupakan data sekunder yang diambil dari Statistik Kesehatan 2022 dengan variabel respon berupa angka prevalensi stunting.
Co-Authors Ardi Kurniawan Ardi Kurniawan Dewanti, Maria Setya Maria Setya Dewanti Pressylia Aluisina Putri Widyangga Widyangga, Pressylia Aluisina Putri