ANLYSIS OF POVERTY RATE AND STUNTING PREVALENCEIN THE PROVINCE OF ACEH

Authors

  • Arfah Husna Faculty of Health Science, Universitas Teuku Umar, Aceh Barat, Indonesia
  • Dadang Sukandar Departement of Community Nutrition, Faculty of Human Ecology, IPB University, Bogor, Indonesia
  • Siti Maisyaroh Fitri Siregar Faculty of Health Science, Universitas Teuku Umar, Aceh Barat, Indonesia
  • Dian Fera Faculty of Health Science, Universitas Teuku Umar, Aceh Barat, Indonesia

Keywords:

poverty severity index, poverty depth index, percentage of poor people, stunting prevalence

Abstract

This study aims to classifies districts in Aceh Province based on poverty rates and stunting prevalence indicators. The data used is cross-section data for 2022 which includes the poverty severity index, poverty depth index, the percentage of poor people, and the prevalence of stunting from the 2022 SSGI results. The method used is cluster analysis, using poverty percentage data (P0) to determine clusters and analyze differences in district clusters with an average stunting rate. Based on the results of the analysis it can be concluded that poverty at the district level is grouped into three categories. Group 1 consists of districts such as Aceh Besar, Aceh Jaya, Aceh Tamiang, Central Aceh, Southeast Aceh, Biruen, Banda Aceh, Langsa, Sabang, and East Aceh. Group 2 includes the districts of West Aceh, Southwest Aceh, North Aceh, Nagan Raya, Lhokseumawe and Subussalaam. Group 3 consists of Singkil, Bener Meriah, Gayo Lues, Pidie, Pidie Jaya, and Simeulu Regencies. Cluster analysis shows that districts with lower poverty rates are in group 1, while group 2 shows moderate poverty, and group 3 has a high poverty index. Furthermore, the results of the correlation analysis show that there is a positive correlation between the percentage of stunting prevalence and the percentage of poverty with a real relationship and the correlation is significant. This study concluded that a cluster analysis of poverty rates with stunting prevalence showed that lower poverty percentages were associated with lower stunting rates, while higher poverty rates were associated with higher stunting rates.the government needs to take real steps to overcome the problem of poverty and stunting in Indonesia. By focusing on areas with a high prevalence of stunting and involving various sectors, it is hoped that the government can achieve its goal of improving the quality of life of the Indonesian people.

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Published

2023-12-28

How to Cite

Husna, A., Sukandar, D., Siregar, S. M. F., & Fera, D. (2023). ANLYSIS OF POVERTY RATE AND STUNTING PREVALENCEIN THE PROVINCE OF ACEH. Malaysian Journal of Public Health Medicine, 23(3), 162–168. Retrieved from https://mjphm.org/index.php/mjphm/article/view/2353