Proceedings of the 5th International Conference on Innovation in Education, Science, and Culture, ICIESC 2023, 24 October 2023, Medan, Indonesia

Research Article

Health Profile in North Sumatra Province

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  • @INPROCEEDINGS{10.4108/eai.24-10-2023.2342323,
        author={Ainul  Mardhiyah and Fitrawaty  Fitrawaty and Munajat  Munajat},
        title={Health Profile in North Sumatra Province},
        proceedings={Proceedings of the 5th International Conference on Innovation in Education, Science, and Culture, ICIESC 2023, 24 October 2023, Medan, Indonesia},
        publisher={EAI},
        proceedings_a={ICIESC},
        year={2024},
        month={1},
        keywords={poverty level government expenditures number of community health centers number  of medical personnel},
        doi={10.4108/eai.24-10-2023.2342323}
    }
    
  • Ainul Mardhiyah
    Fitrawaty Fitrawaty
    Munajat Munajat
    Year: 2024
    Health Profile in North Sumatra Province
    ICIESC
    EAI
    DOI: 10.4108/eai.24-10-2023.2342323
Ainul Mardhiyah1,*, Fitrawaty Fitrawaty1, Munajat Munajat1
  • 1: Faculty of Economics, Universitas Negeri Medan, North Sumatera, 20221, Indonesia
*Contact email: ainul@gmail.com

Abstract

Public health is an aspect that determines the level of poverty. A healthy society will create a high level of productivity. Government policy guarantees citizens' right to remain healthy by facilitating complete and guaranteed quality health services at relatively low costs so that they can be reached by the entire community, even those from the lower classes. The aim of this research is to try to analyze the influence of government spending in the health sector, the number of community health centers and the number of medical personnel on poverty levels in North Sumatra. The data used is data from the National Socio-Economic Survey (Susenas) March 2022. This data includes many social and economic indicators carried out by the Central Statistics Agency, poverty levels, and total government spending. Number of health centers and number of medical personnel in districts/municipalities in North Sumatra Province. This research uses a panel data model to see the condition of each region. The research results show the influence of different variables in each region, the response of each region is influenced by the profile and resources it has, but in general all policies are able to reduce the level of poverty in society.