Pemodelan Faktor-Faktor yang Memengaruhi Stunting di Kabupaten Tuban Menggunakan Metode Regresi Spasial

Adityawan, Ignatius Pandu (2024) Pemodelan Faktor-Faktor yang Memengaruhi Stunting di Kabupaten Tuban Menggunakan Metode Regresi Spasial. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 5003201127-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (13MB) | Request a copy

Abstract

Masalah stunting di Kabupaten Tuban menjadi isu krusial yang memerlukan penanganan serius. Menurut Survei Status Gizi Indonesia (SSGI) tahun 2022, Kabupaten Tuban, memperlihatkan angka stunting yang tinggi, mencapai 24.9%. Angka ini menempatkannya sebagai salah satu wilayah dari 10 kabupaten dengan prevalensi tertinggi di Provinsi Jawa Timur. Stunting sendiri merupakan kondisi gizi kronis pada anak yang timbul karena kekurangan asupan nutrisi dalam jangka waktu yang lama, sehingga menghambat pertumbuhan mereka. Untuk menyelesaikan permaslahan tersebut, pemodelan dengan mempertimbangkan efek spasial merupakan metode yang umum digunakan untuk melihat pola penyebaran penyakit dan masalah kesehatan. Metode yang digunakan dalam penelitian ini adalah regresi spasial berbasis area. Beberapa faktor diduga memengaruhi prevalensi stunting di Kabupaten Tuban, antara lain persentase bayi Berat Badan Lahir Rendah (BBLR), persentase balita mendapat ASI eksklusif, persentase ibu hamil mengonsumsi Tablet Tambah Darah (TTD), persentase balita imunisasi hepatitis B, persentase balita imunisasi polio, dan persentase balita imunisasi campak. Dari hasil penelitian, pola persebaran stunting di Kabupaten Tuban bersifat mengelompok. Model terbaik yang diperoleh adalah model Spatial Autoregressive Moving Average (SARMA). Variabel yang signifikan adalah persentase bayi Berat Badan Lahir Rendah (BBLR) dan persentase balita imunisasi hepatitis B.
========================================================================================================================
The issue of stunting in Tuban Regency has become a critical concern requiring serious intervention. According to the 2022 Indonesian Nutrition Status Survey (SSGI), Tuban Regency exhibited a high stunting rate, reaching 24.9%. This figure places it among the ten districts with the highest prevalence in East Java Province. Stunting is a chronic nutritional condition in children that arises from prolonged inadequate nutritional intake, leading to impaired growth. To address this issue, modeling that considers spatial effects is commonly employed to analyze the distribution patterns of diseases and health problems. The method used in this study is area-based spatial regression. Several factors are hypothesized to influence the prevalence of stunting in Tuban Regency, including the percentage of low birth weight (LBW) infants, the percentage of toddlers receiving exclusive breastfeeding, the percentage of pregnant women consuming iron tablets, the percentage of toddlers receiving hepatitis B immunization, the percentage of toddlers receiving polio immunization, and the percentage of toddlers receiving measles immunization. The study found that the stunting distribution pattern in Tuban Regency is clustered. The best model obtained is the Spatial Autoregressive Moving Average (SARMA) model. The significant variables are the percentage of low birth weight (LBW) infants and the percentage of toddlers receiving hepatitis B immunization.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Stunting, Kabupaten Tuban, Regresi Spasial, SARMA, Tuban Regency, Spatial Regression
Subjects:	H Social Sciences > HA Statistics > HA30.6 Spatial analysis
Divisions:	Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Ignatius Pandu Adityawan
Date Deposited:	08 Aug 2024 12:15
Last Modified:	08 Aug 2024 12:15
URI:	http://repository.its.ac.id/id/eprint/114906

Actions (login required)

View Item