Analisis Faktor Sosial Ekonomi dan Lingkungan Tergadap Prevalensi Stunting di Indonesia Menggunakan Spatial Autoregression

Rahmawati, Nadia Alma Rahmawati (2026) Analisis Faktor Sosial Ekonomi dan Lingkungan Tergadap Prevalensi Stunting di Indonesia Menggunakan Spatial Autoregression. Diploma thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Stunting merupakan masalah kesehatan yang berdampak jangka panjang terhadap kualitas sumber daya manusia dan pertumbuhan ekonomi. Pada tahun 2024 prevalensi stunting nasional Indonesia tercatat sebesar 19,8%, angka tersebut masih lebih tinggi dari target RPJMN 14% dan menunjukkan ketimpangan antar provinsi dimana 24 provinsi berada di atas rata-rata nasional. Penelitian ini bertujuan untuk menganalisis faktor sosial, ekonomi, dan lingkungan yang memengaruhi prevalensi stunting di 36 provinsi di Indonesia tahun 2024 menggunakan pendekatan Spatial Autoregressive (SAR). Variabel yang digunakan meliputi rata-rata lama sekolah perempuan, persentase penduduk miskin, persentase pengeluaran per kapita sebulan untuk makanan, persentase perempuan menikah dini, persentase bayi yang mendapat ASI eksklusif, persentase rumah tangga dengan akses air minum tidak layak, persentase rumah tangga dengan sanitasi tidak layak, dan kepadatan penduduk. Hasil penelitian menunjukkan bahwa model SAR lebih baik jika dibandingkan regresi linear berganda dalam memodelkan prevalensi stunting. Selain itu, persentase penduduk miskin dan persentase pengeluaran per kapita sebulan untuk makanan berpengaruh signifikan terhadap prevalensi stunting, serta terdapat keterkaitan spasial antarprovinsi yang menunjukkan bahwa prevalensi stunting pada suatu provinsi dipengaruhi oleh kondisi di provinsi-provinsi yang bertetangga.
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Stunting is a public health problem that has long-term impacts on the quality of human resources and economic growth. In 2024, the national stunting prevalence in Indonesia reached 19.8%, which remained higher than the National Medium-Term Development Plan (RPJMN) target of 14% and indicated disparities among provinces, with 24 provinces recording prevalence rates above the national average. This study aims to analyze the social, economic, and environmental factors affecting stunting prevalence across 36 provinces in Indonesia in 2024 using the Spatial Autoregressive (SAR) approach. The variables examined include women's average years of schooling, poverty rate, monthly per capita food expenditure, percentage of women married at an early age, percentage of infants receiving exclusive breastfeeding, percentage of households with inadequate access to drinking water, percentage of households with inadequate sanitation, and population density. The results indicate that the SAR model performs better than multiple linear regression in modeling stunting prevalence. In addition, the poverty rate and monthly per capita food expenditure have a significant effect on stunting prevalence. The findings also reveal the existence of spatial dependence among provinces, indicating that the stunting prevalence in a province is influenced by the stunting prevalence in neighboring provinces.

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	Ekonomi, Lingkungan, Sosial, Spatial Autoregressive, Stunting, Economy, Environment, Social, Spatial Autoregressive, Stunting
Subjects:	H Social Sciences > HA Statistics > HA31.3 Regression. Correlation. Logistic regression analysis.
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Nadia Alma Rahmawati
Date Deposited:	05 Aug 2026 03:03
Last Modified:	05 Aug 2026 03:03
URI:	http://repository.its.ac.id/id/eprint/143814

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