Pemodelan Prevalensi Stunting Pada Balita Menggunakan Multivariate Adaptive Regression Spline (Mars) Di Provinsi Jawa Timur Tahun 2019

Wijaya, Rizky Adi (2022) Pemodelan Prevalensi Stunting Pada Balita Menggunakan Multivariate Adaptive Regression Spline (Mars) Di Provinsi Jawa Timur Tahun 2019. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Stunting atau kerdil adalah kondisi gagal tumbuh pada anak berusia di bawah lima tahun (balita) yang diakibatkan kekurangan gizi kronis dan infeksi berulang terutama pada periode 1.000 Hari Pertama Kehidupan (HPK), yaitu dari janin hingga anak berusia 23 bulan. Data World Bank tahun 2020 menunjukkan, prevalensi stunting Indonesia berada pada urutan ke 115 dari 151 negara di dunia. Dalam RPJMN 2020-2024, pemerintah telah menargetkan angka stunting turun menjadi 14 persen pada tahun 2024 selain itu stunting juga merupakan salah satu prioritas dari Sustainable Development Goals (SDGs). Berdasarkan riset kesehatan dasar (Riskesdas) tahun 2018, angka kejadian stunting di Jawa Timur mencapai 26,9%, angka tersebut tidak jauh dari rata-rata nasional yaitu 27,67% yang masih diatas standar WHO yang sebesar 20%. Kabupaten Probolinggo memiliki angka prevalensi stunting paling tinggi yaitu sebesar 54,75% dan Kota Kediri memiliki angka prevalensi stunting paling rendah yaitu sebesar 10,94. Rata-rata prevalensi stunting di Kabupaten/Kota di Jawa Timur berkisar pada angka 26,85%. Model MARS terbaik didapatkan dari kombinasi basis fungsi (BF) =14 dengan maksimum interaksi (MI)=2 dan minimum observasi (MO) =1 1. Nilai GCV minimum yang didapatkan sebesar 31.98247 dengan R-sq sebesar 72,38% serta variabel prediktor yang masuk kedalam model sebanyak 4 yaitu persentase berat bayi lahir normal (X1) dengan tingkat kepentingan 66,8%, persentase bayi yang mendapatkan ASI eksklusif (X2) dengan tingkat kepentingan 52,8%, persentase peserta KB aktif (X5) dengan tingkat kepentingan 52,8%, dan persentase rumah tangga yang memiliki akses terhadap layanan sanitasi layak (X7) dengan tingkat kepentingan 100%.
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Stunting is a condition of failure to thrive in children under five years old (toddlers) caused by chronic malnutrition and repeated infections, especially in the first 1,000 days of life (HPK), from fetus to child aged 23 months. World Bank data for 2020 shows that the prevalence of stunting in Indonesia is at 115th out of 151 countries in the world. In the 2020-2024 RPJMN, the government has targeted the stunting rate to drop to 14 percent by 2024. In addition, stunting is also one of the priorities of the Sustainable Development Goals (SDGs). Based on the 2018 Basic Health Research (Riskesdas), the stunting rate in East Java reached 26.9%, this figure is not far from the national average namely 27.67% which is still above the WHO standard of 20%. Probolinggo Regency has the highest stunting prevalence rate, which is 54.75% and Kediri City has the lowest stunting prevalence rate, which is 10.94. The average prevalence of stunting in districts/cities in East Java is around 26.85%. The best MARS model is obtained from a combination of basis functions (BF)=14 with a maximum interaction (MI)=2 and a minimum observation (MO)=1 The minimum GCV value obtained is 31.98247 with an R-sq of 72.38% and the predictor variable There are 4 models included, namely the percentage of normal birth weight (X1) with an importance level of 66.8%, the percentage of infants receiving exclusive breastfeeding (X2) with an importance level of 52.8%, the percentage of active family planning participants (X5) with the level of importance is 52.8%, and the percentage of households that have access to proper sanitation services (X7) with an importance level of 100%.

Item Type:	Thesis (Other)
Additional Information:	RSSt 519.536 Wij p-1 2022
Uncontrolled Keywords:	Jawa Timur, MARS, Prevalensi, SDGs, Stunting. East Java, MARS, Prevalence, SDGs, Stunting.
Subjects:	H Social Sciences > HA Statistics
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Mr. Marsudiyana -
Date Deposited:	10 Jun 2026 01:43
Last Modified:	10 Jun 2026 03:18
URI:	http://repository.its.ac.id/id/eprint/133668

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