Pemodelan Prevalensi Stunting di Nusa Tenggara Timur Menggunakan Regresi Data Panel

Dikie, Helga Ananta (2025) Pemodelan Prevalensi Stunting di Nusa Tenggara Timur Menggunakan Regresi Data Panel. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Stunting, atau kekerdilan kronis, menjadi hal menakutkan bagi Indonesia, dengan prevalensi mencapai 21,5% di tahun 2023 berdasarkan data hasil survei kesehatan Indonesia tahun 2023. Lebih dari sekadar masalah kesehatan, stunting berakibat fatal pada perkembangan kognitif, pertumbuhan fisik, dan masa depan anak bangsa. Pemerintah, dengan komitmennya untuk menurunkan prevalensi stunting hingga 14% di tahun 2024, telah meluncurkan berbagai program seperti Stranas Stunting, 1.000 Hari Pertama Kehidupan (HPK), dan Pemberian Makan Tambahan (PMT). Memahami penyebab stunting akan membantu merumuskan intervensi yang tepat sasaran. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis pengaruh terkait faktor-faktor yang memengaruhi prevalensi stunting serta memprediksi prevalensi stunting di Provinsi Nusa Tenggara Timur. Data diolah menggunakan analisis regresi data panel dengan data cross-section yaitu Kota/Kabupaten di Provinsi Nusa Tenggara Timur dan data rentan waktu dari tahun 2021 sampai 2023. Dengan menggunakan Regresi Data Panel didapatkan hasil bahwa berdasarkan pendekatan FEM efek individu dari tujuh variabel, yang berpengaruh signifikan terhadap prevalensi stunting pada Balita Nusa Tenggara Timur adalah persentase wasting, PDRB per kapita, dan persentase penduduk miskin. Variabel tersebut dapat menjelaskan prevalensi stunting sebesar 82,23% dan 12,77% lainnya dijelaskan oleh variabel lain di luar model.
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Stunting, or chronic stunting, is a scary thing for Indonesia, with prevalence reaching 21.5% in 2023 based on data from the Indonesian Health Survey 2023. More than just a health issue, stunting is fatal to the cognitive development, physical growth, and future of the nation's children. The government, with its commitment to reduce the prevalence of stunting to 14% by 2024, has launched various programs such as Stranas Stunting, the First 1,000 Days of Life (HPK), and Supplementary Feeding (PMT). Understanding the causes of stunting will help formulate targeted interventions. This study aims to identify and analyze influences related to factors that affect the prevalence of stunting and predict the prevalence of stunting in East Nusa Tenggara Province. The data is processed using panel data regression analysis with cross-section data, namely cities/districts in East Nusa Tenggara Province and time-varying data from 2021 to 2023. By using Panel Data Regression, it was found that based on the individual effect FEM approach of seven variables, the ones that have a significant effect on the prevalence of stunting in East Nusa Tenggara toddlers are the percentage of wasting, GRDP per capita, and the percentage of poor people. These variables can explain the prevalence of stunting by 82.23% and the other 12.77% is explained by other variables outside the model.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Nusa Tenggara Timur, Prevalensi Stunting, Regresi Data Panel, East Nusa Tenggara, Panel Data Regression, Stunting Prevalence.
Subjects:	H Social Sciences > HA Statistics Q Science Q Science > Q Science (General) > Q180.55.M38 Mathematical models R Medicine > R Medicine (General)
Divisions:	Faculty of Vocational > 49501-Business Statistics
Depositing User:	Helga Ananta Dikie
Date Deposited:	10 Jul 2025 04:11
Last Modified:	10 Jul 2025 04:11
URI:	http://repository.its.ac.id/id/eprint/119464

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