Gusti, Putri Pinaring and , Nirma Lila Anggani, S.Si., M.Sc (2025) Analisis Hubungan Antara Tingkat Kemiskinan Dan Prevalensi Stunting Pada Balita Di Kabupaten Boyolali. Skripsi thesis, Universitas Muhammadiyah Surakarta.
|
PDF (Naskah Publikasi)
NASKAH PUBLIKASI.pdf Download (568kB) |
|
|
PDF (Halaman Depan)
HALAMAN DEPAN.pdf Download (669kB) |
|
|
PDF (Bab I)
BAB I.pdf Download (215kB) |
|
|
PDF (Bab II)
BAB II.pdf Restricted to Repository staff only Download (53kB) |
|
|
PDF (Bab III)
BAB III.pdf Restricted to Repository staff only Download (1MB) |
|
|
PDF (Bab IV)
BAB IV.pdf Restricted to Repository staff only Download (364kB) |
|
|
PDF (Bab V)
BAB V.pdf Restricted to Repository staff only Download (104kB) |
|
|
PDF (Bab VI)
BAB VI.pdf Restricted to Repository staff only Download (140kB) |
|
|
PDF (Daftar Pustaka)
DAFTAR PUSTAKA.pdf Download (185kB) |
|
|
PDF (Lampiran)
LAMPIRAN.pdf Restricted to Repository staff only Download (84kB) |
|
|
PDF (Surat Pernyataan Publikasi)
SURAT PERNYATAAN PUBLIKASI.pdf Restricted to Repository staff only Download (305kB) |
Abstract
Stunting is a long-term nutritional issue that impacts children's physical and cognitive development, and it reduces the quality of human resources. Boyolali Regency is one of the regions with a relatively high stunting rate, making it important to conduct further analysis on the factors influencing this condition. This study aims to analyze the spatial distribution of stunting prevalence and its correlation with poverty levels in Boyolali Regency. The method used is a quantitative descriptive approach with a Geographic Information System (GIS) using ArcGIS software. The data used are secondary data from 2023, including stunting prevalence and Integrated Social Welfare Data (DTKS) per subdistrict. The analysis results show that several subdistricts, such as Wonosegoro and Karanggede, have high stunting prevalence, while other subdistricts have moderate or low prevalence. The factors influencing stunting prevalence include geographical conditions, access to healthcare services, socioeconomic status, and child-rearing practices. This distribution map can be used as a basis for formulating targeted policies to reduce stunting rates, with a focus on improving healthcare services, nutrition education, and the improvement of sanitation and food security in areas with high prevalence. Regions with higher poverty levels tend to have higher stunting prevalence. These findings provide a visual representation of the potential spatial correlation between poverty and stunting, which can serve as a foundation for the formulation of more targeted stunting mitigation policies. By utilizing GIS and more in-depth data analysis, more precise interventions can be made in efforts to reduce stunting rates in Boyolali Regency.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Stunting, Kemiskinan, Data Terpadu Kesejahteraan Sosial, Sistem Informasi Geografis, Boyolali |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) R Medicine > Nutrition > Stunting |
| Divisions: | Fakultas Geografi > S1 Geografi |
| Depositing User: | PUTRI PINARING GUSTI |
| Date Deposited: | 06 May 2025 06:00 |
| Last Modified: | 06 May 2025 06:00 |
| URI: | http://eprints.ums.ac.id/id/eprint/133905 |
Actions (login required)
![]() |
View Item |
