Journal of Statistics and Data Science
Vol. 4 No. 2 (2025)

Analysis of Effective Policy Strategies to Address Multidimensional Stunting Using the Biplot Method in Bengkulu Province

Regina Adelisa (Unknown)
Vivi Elvira Sahputri Syah (Unknown)
Gihon Nakata Silaen (Unknown)
Firdaus (Unknown)
Fahrulriza, Teuku (Unknown)
Fajariyanto, Eko (Unknown)
Pratama, Novrian (Unknown)



Article Info

Publish Date
30 Dec 2025

Abstract

This study aims to analyze the factors contributing to stunting in Bengkulu Province. The method used is biplot analysis, by reducing the Principal Component Analysis (PCA) dimensions into two components. A quantitative approach was employed, involving ten variables representing health, nutrition, education, housing, food security, and social protection factors. The results indicate that Bengkulu City has characteristics that are significantly different from other regencies. The key contributing factors include limited access to basic health services (particularly the availability of skilled birth attendants and immunization coverage), high levels of food insecurity, low access to proper sanitation and safe drinking water, limited practice of exclusive breastfeeding, and low utilization of government assistance programs such as BPJS Kesehatan (National Health Insurance) and KPS/KKS (Social Welfare Cards). It is expected that the findings of this study can provide valuable insights and contribute to efforts in reducing the prevalence of stunting in Bengkulu Province.

Copyrights © 2025






Journal Info

Abbrev

jsds

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Other

Description

Established in 2022, Journal of Statistics and Data Science (JSDS) publishes scientific papers in the fields of statistics, data science, and its applications. Published papers should be research-based papers on the following topics: experimental design and analysis, survey methods and analysis, ...