ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI ANGKA PREVALENSI BALITA STUNTING DI PROVINSI JAWA TIMUR DENGAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR)

Hoyi, Hans Abried Agrippina Khansa Dewi Citra Hoyi (2024) ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI ANGKA PREVALENSI BALITA STUNTING DI PROVINSI JAWA TIMUR DENGAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sustainable Development Goals (SDGs) merupakan sebuah program berkelanjutan yang
memiliki tujuan untuk menyejahterakan masyarakat dunia dan melestarikan alam. Stunting
merupakan salah satu target dari SDGs yang termasuk pada tujuan ke-2. Stunting disebabkan
oleh faktor multi dimensi seperti faktor kesehatan dan gizi, faktor sosial ekonomi dan faktor
lingkungan. Penelitian ini membahas mengenai analisis faktor-faktor yang diduga
mempengaruhi angka prevalensi balita stunting pada kabupaten/kota di Jawa Timur. Variabel
respon dari penelitian ini adalah angka prevalensi balita stunting dan unit penelitiannya adalah
kabupaten/kota di Provinsi Jawa Timur. Analisis dilakukan menggunakan regresi linier
berganda dan Geographically Weighted Regression dengan melibatkan karakteristik pada
masing-masing kabupaten/kota. Hasil analisis regresi linier berganda menunjukkan bahwa
persentase keluarga dengan akses sanitasi yang layak dan persentase balita mendapatkan
imunisasi lengkap berpengaruh signifikan terhadap angka prevalensi stunting di Provinsi Jawa
Timur. Berdasarkan analisis perbandingan model, diperoleh kesimpulan bahwa model
Geographically Weighted Regression lebih baik daripada model regresi linier berganda
karena memiliki nilai koefisien determinasi lebih besar yaitu 73,87%sedangkan model regresi
linier berganda memiliki koefisien determinasi sebesar 51,20%=Sustainable Development Goals (SDGs) is a sustainable program that aims to improve
the welfare of the world community and preserve nature. Stunting is one of the targets of the
SDGs which is included in the 2nd goal. Stunting is caused by multi-dimensional factors such
as health and nutritional factors, socio-economic factors and environmental factors. This
research discusses the analysis of factors that are thought to influence the prevalence rate of
stunting under five in districts/cities in East Java. The response variable for this research is the
prevalence rate of stunting under five and the research unit is the district/city in East Java
Province. The analysis was carried out using multiple linear regression and Geographically
Weighted Regression involving the characteristics of each district/city. The results of multiple
linear regression analysis show that the percentage of families with access to adequate
sanitation and the percentage of children under five who receive complete immunization have
a significant effect on the stunting prevalence rate in East Java Province. Based on the model
comparison analysis, it was concluded that the Geographically Weighted Regression model is
better than the multiple linear regression model because it has a greater coefficient of
determination which is 73,87%, while the multiple linear regression model has a coefficient of
determination of 51,20%.

Item Type:	Thesis (Other)
Subjects:	H Social Sciences > HA Statistics > HA30.6 Spatial analysis H Social Sciences > HA Statistics > HA31.3 Regression. Correlation
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Hans Abried Agrippina Khansa Dewi Citra Hoyi
Date Deposited:	09 Aug 2024 03:29
Last Modified:	09 Aug 2024 03:29
URI:	http://repository.its.ac.id/id/eprint/114829

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