Pemodelan Balita Stunting di Provinsi Nusa Tenggara Timur Menggunakan Metode Multivariate Adaptive Regression Splines (MARS)

Azizah, Dewi Muslimatul (2019) Pemodelan Balita Stunting di Provinsi Nusa Tenggara Timur Menggunakan Metode Multivariate Adaptive Regression Splines (MARS). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Stunting adalah kondisi gagal tumbuh pada anak balita (bayi di bawah lima tahun) akibat dari kekurangan gizi kronis sehingga anak terlalu pendek untuk usianya. Kekurangan gizi terjadi sejak bayi dalam kandungan dan pada masa awal setelah bayi lahir. Akan tetapi, kondisi stunting baru nampak setelah bayi berusia 2 tahun. Berdasarkan Riset Kesehatan Dasar pada tahun 2017 Provinsi dengan prevalensi tertinggi balita pendek dan sangat pendek di Indonesia adalah Nusa Tenggara Timur yaitu sebesar 40.3 persen. Hal ini menunjukkan bahwa prevalensi balita stunting di Provinsi NTT masih jauh dari prevalensi balita stunting secara keseluruhan di Indonesia. Kasus balita stunting dapat dianalisis menggunakan metode Multivariate Adaptive Regression Splines (MARS) karena data yang digunakan merupakan data berdimensi tinggi serta tidak menunjukkan pola hubungan yang jelas antara variabel respon dengan variabel prediktor. Data yang digunakan adalah data persentase balita stunt-ing di NTT pada tahun 2017 dengan unit penelitian kabupaten/kota. Berdasarkan analisis yang dilakukan diperoleh hasil bahwa kabupat-en di NTT dengan persentase balita stunting tertinggi adalah Timor Timur Selatan dan kabupaten dengan persentase terendah adalah Manggarai Timur. Model MARS terbaik terbentuk dari 3 fungsi basis dengan 2 variabel prediktor yang masuk model yaitu variabel persen-tase ibu hamil berisiko kurang energi kronik (X1) dan variabel persen-tase bayi dengan berat badan lahir rendah (X6).
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Stunting is a condition of failure to thrive in children under five (in-fants under five years old) due to chronic malnutrition so children are too short for their age. Malnutrition occurs since the baby is in the womb and in the early days after the baby is born. However, the stunt-ing condition only appears after a 2 year old baby. Based on Basic Health Research in 2017 Province with the highest prevalence of short and very short toddlers in Indonesia is East Nusa Tenggara, which amounted to 40.3 percent. This shows that the prevalence of stunting toddlers in NTT Province is far from the prevalence of overall stunting toddlers in Indonesia. Cases of stunting toddlers can be analyzed using the Multivariate Adaptive Regression Splines (MARS) method because the data used are high dimensional data and do not show a clear pat-tern of relationships between response variables and predictor varia-bles. The data used is the data on the percentage of stunt-ing toddlers in NTT in 2017 with the district / city research unit. Based on the anal-ysis conducted, it was found that the districts in NTT with the highest percentage of stunting toddlers were South East Timor and the lowest percentage districts were East Manggarai. The best MARS model is formed from 3 basic functions with 2 predictor variables that enter the model, namely the variable percentages of pregnant women at risk of less chronic energy (X1) and the percentage percent of infants with low birth weight (X6).

Item Type:	Thesis (Other)
Additional Information:	RSSt 519.535 Azi p-1 2019 3100019081118
Uncontrolled Keywords:	Balita Stunting, Multivariate Adaptive Regression Splines, Nusa Tenggara Timur
Subjects:	H Social Sciences > HA Statistics H Social Sciences > HA Statistics > HA31.3 Regression. Correlation. Logistic regression analysis. H Social Sciences > HN Social history and conditions. Social problems. Social reform
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Dewi Muslimatul Azizah
Date Deposited:	29 Oct 2025 10:14
Last Modified:	29 Oct 2025 10:45
URI:	http://repository.its.ac.id/id/eprint/64601

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