Rahman, Annisa Auliya (2022) Pemodelan Kejadian Stunting Pada Balita Di Indonesia Dengan Multivariate Adaptive Regression Splines (Mars). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Stunting merupakan masalah kekurangan gizi kronis pada anak yang ditandai dengan tubuh pendek dan termasuk masalah gizi kronis di Indonesia. Tahun 2021, angka prevalensi stunting di Indonesia menurun dari tahun sebelumnya, namun masih berada di atas standar WHO. Percepatan penurunan stunting juga termasuk prioritas dalam Rencana Pembangunan Jangka Menengah Nasional (RPJMN) 2020-2024. Penelitian ini bertujuan untuk mengetahui karakteristik kejadian stunting dan faktor-faktor yang diduga memengaruhi serta memodelkan kejadian stunting di Indonesia dengan metode Multivariate Adaptive Regression Spline (MARS). Metode tersebut dipilih karena hubungan antar variabel yang tidak membentuk pola tertentu, terdapat perubahan pola data pada interval tertentu, dan cenderung terdapat interaksi pada variabel prediktor. Rata-rata persentase kejadian stunting pada balita di Indonesia yaitu 25,22%. Sementara itu, mayoritas variabel yang diduga memengaruhi kejadian stunting pada penelitian ini memiliki rata-rata yang cukup rendah dan memiliki persebaran data yang cukup tinggi. Model MARS terbaik untuk kejadian stunting pada balita di Indonesia yaitu menggunakan nilai maksimum BF=12 MI=2, dan MO=1 dengan nilai GCV sebesar 17,688. Model tersebut mampu menjelaskan 68,7% keragaman data yang ada. Urutan variabel yang masuk ke dalam model berdasarkan tingkat kepentingan tertinggi adalah persentase rumah tangga dengan sanitasi layak (100%), persentase rumah tangga dengan jaminan kesehatan (93,165%), persentase bayi dengan ASI eksklusif (51,345%), dan persentase rumah tangga dengan sumber air minum layak (20,185%).
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Stunting is a chronic malnutrition problem in children characterized by short stature and is a chronic nutritional problem in Indonesia. In 2021, the stunting prevalence rate in Indonesia decreased from the previous year but was still above the WHO standard. The acceleration of stunting reduction is also a priority in the 2020-2024 National Medium-Term Development Plan. This study aims to determine the characteristics of stunting and the factors that are thought to influence and model the incidence of stunting in Indonesia using the Multivariate Adaptive Regression Spline (MARS) method. This method was chosen because the relationship between variables does not form a certain pattern, there is a change in the data pattern at certain intervals, and there may be interactions in the predictor variables. The average percentage of stunting in children under five in Indonesia is 25.22%. Meanwhile, most of the variables that are thought to influence the incidence of stunting in this study have a low average and have a high distribution of data. The best MARS model for stunting in children under five in Indonesia is using maximum BF=12, MI=2, and MO=1 with a GCV value of 17,688. The model can explain 68,7% of the diversity of existing data The order of variables included in the model based on the highest level of importance is the percentage of households with proper sanitation (100%), the percentage of households that have health insurance (93.165%), the percentage of infants with exclusive breastfeeding (51.345%), and the percentage of households with proper source of drinking water (20.185%).
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSSt 519.536 Rah p-1 2022 |
| Uncontrolled Keywords: | Indonesia. Multivariate Adaptive Regression Splines (MARS). Stunting. Indonesia. Multivariate Adaptive Regression Splines (MARS). 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 02:21 |
| Last Modified: | 10 Jun 2026 03:26 |
| URI: | http://repository.its.ac.id/id/eprint/133673 |
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