Pemodelan Faktor-Faktor Yang Mempengaruhi Persentase Stunting Pada Balita Di Indonesia Dengan Pendekatan Regresi Data Panel

Asmoyo, Okka Kusumawati (2021) Pemodelan Faktor-Faktor Yang Mempengaruhi Persentase Stunting Pada Balita Di Indonesia Dengan Pendekatan Regresi Data Panel. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Gizi yang berkualitas merupakan penentu keberlangsungan hidup, kesehatan serta pertumbuhan anak. Kondisi stunting, berat badan rendah, dan anak sangat kurus (wasting) terus mempengaruhi anak usia balita. Stunting dapat menimbulkan dampak jangka panjang, antara lain hambatan pertumbuhan, penurunan kemampuan kognitif dan mental, kerentanan terhadap penyakit, produktivitas ekonomi rendah, dan kualitas hasil reproduksi rendah. Hasil Survei Status Gizi Balita Indonesia pada tahun 2019 menunjukkan prevalensi stunting mencapai 27,67 persen. Untuk mengetahui faktor yang berpengaruh terhadap stunting pada balita di Indonesia dari tahun 2015 hingga 2019 digunakan metode regresi panel, metode regresi data panel merupakan metode dengan menggabungkan data cross section dan time series. Variabel yang digunakan pada penelitian ini yaitu persentase stunting, persentase pemberian ASI Eksklusif, persentase rumah tangga dengan akses sanitasi layak, dan cakupan kunjungan ibu hamil K-4 dengan unit observasi 34 provinsi. Hasil penelitian ini menunjukkan tidak adanya multikolinearitas antar variabel independen. Model estimasi terbaik yang diperoleh untuk menganalisis persentase stunting pada balita di Indonesia adalah FEM antar individu dan waktu dengan variabel yang berpengaruh signifikan yaitu cakupan kunjungan ibu hamil K-4 dengan R2 sebesar 85,23 persen.
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Quality of nutrition is a determinant of survival, health and growth child. Stunting conditions, low body weight, and very thin children (wasting) continue to affect children under five. Stunting can have long-term impacts, including stunted growth, decreased cognitive and mental abilities, susceptibility to disease, low economic productivity, and low quality of reproductive output. The results of Survei Status Gizi Balita Indonesia in 2019 showed the prevalence of stunting reached 27.67 percent. To find out the factors that influence stunting in toddlers in Indonesia from 2015 to 2019 the panel regression method is used, the panel data regression method is a method by combining cross section and time series data. The variables used in this study were the percentage of stunting, the percentage of exclusive breastfeeding, the percentage of households with access to proper sanitation, and the coverage of visits by pregnant women K-4. The results of this study indicate that there is no multicollinearity between independent variables. The best estimation model obtained to analyze the percentage of stunting in children under five in Indonesia is FEM between individuals and time with a variable that has a significant effect, namely the coverage of visits by pregnant women K-4 with an R2 of 85.23 percent.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Balita, Fixed Effect Model Individu dan Waktu, Regresi Data Panel, Stunting, Fixed Effect Individual and Time Model, Panel Data Regression, Stunting, Toddler
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HA Statistics > HA31.3 Regression. Correlation R Medicine > RJ Pediatrics > RJ101 Child Health. Child health services
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Okka Kusumawati Asmoyo
Date Deposited:	02 Sep 2021 06:16
Last Modified:	02 Sep 2021 06:16
URI:	http://repository.its.ac.id/id/eprint/91488

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