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All Journal Ficco Public Health Journal
Mufida, Ananda Azmi
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Public Health

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Pemetaan Hasil Kredensial Tenaga Kesehatan Berbasis Sistem Informasi Geografis di Kabupaten Kediri Mufida, Ananda Azmi
Ficco Public Health Journal Vol. 1 No. 02 (2024): August 2024
Publisher : Ficco Scientific Corner

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14561221

Abstract

Background: The presence of doctors who have and have not completed their credentialing should be accompanied by easy access to information. The rapid development in the field of technology and information provides convenience in accessing information through visualization media. The purpose of this study is to map the distribution of healthcare professionals, specifically doctors who have completed their healthcare credentialing in Kediri Regency. Methods: This study uses an observational research design, analyzing secondary data obtained from the Kediri Regency Health Office, using Quantum GIS software. Data was collected from health reports and mapped to visualize the distribution of doctors who have completed their credentialing across the health centers. Results: Kediri Regency has 37 health centers (puskesmas), of which 10 health centers implemented credentialing in 2022, and 27 others implemented credentialing in 2023. The map created provides a clear visualization of the distribution and status of credentialing across the region, helping to identify areas that may require further attention or intervention. Conclusions: Information about healthcare professionals who have completed their credentialing, which can be accessed quickly, can be presented through information technology implemented in a Geographic Information System.
Pemetaan Kasus Stunting di Kabupaten Lamongan Tahun 2023 Mufida, Ananda Azmi; Fahmi, Mohamad Anis
Ficco Public Health Journal Vol. 1 No. 02 (2024): August 2024
Publisher : Ficco Scientific Corner

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14561145

Abstract

Background: Stunting is a condition in toddlers who experience growth failure due to chronic malnutrition that causes children to be shorter than their group. The results of the Indonesia Nutrition Status Survey (SSGI) in 2022 show that the prevalence of stunting in Lamongan Regency is 27.5%. and is still above the WHO standard of ≤20%. The purpose of this study is to find out if there is a spatial autocorrelation of stunting incidence in Lamongan Regency in 2023. Methods: The methods used are Moran Index, Moran's Scatterplot, Local Indicator of Spatial Association (LISA). Results: The value of the Moran Index of stunting incidence was 0.1851, indicating a positive spatial autocorrelation or forming a grouping pattern. Population Density with Stunting Incidence of -0.1966 indicates a negative spatial autocorrelation or random pattern of spreading. The availability of clean water with a stunting incidence is -0.3497 which indicates a negative spatial autocorrelation or a random spreading pattern. Conclusions: There is a positive Spatial Autocorrelation or forming a clustered pattern in stunting events in Lamongan Regency in 2023, There is a negative spatial autocorrelation of random distribution patterns between population density and stunting events in Lamongan Regency in 2023, There is a negative spatial autocorrelation of random distribution patterns between the availability of clean water and stunting events in Lamongan Regency in 2023.
Co-Authors Mohamad Anis Fahmi