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All Journal Jurnal Informasi Kesehatan Indonesia (JIKI) Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan
Saini, Izzatul Mardiah
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Health Professions Nursing Public Health

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HUBUNGAN PENCAPAIAN PANDU PTM DENGAN DIABETES (ANALISIS RISKESDAS 2018 DAN PROFIL KESEHATAN 2018) Saini, Izzatul Mardiah; Misana, Fatima Nur; Bagus, Nurzahara; Siregar, Kemal N
Jurnal Informasi Kesehatan Indonesia (JIKI) Vol 9 No 1 (2023): Jurnal Informasi Kesehatan Indonesia
Publisher : Politeknik Kesehatan Kemenkes Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31290/jiki.v9i1.3939

Abstract

Background: Non-communicable disease (NCD) has been the leading cause of death in Indonesia. To prevent that, the government of the Republic of Indonesia made some policies that resulted in programs such as Pandu PTM. Pandu PTM is an approach for early detection and monitoring of NCD risk factors which is integrated and done through Posbindu PTMAims: This research aims to know the relationship between the implementation of Pandu PTM with the incident numbers of diabetes melitus in IndonesiaSubjects and Method: This research was done through March—April 2023. This research was done through observational analytic design with an ecological study approach. The samples used were the 34 provinces of Indonesia. The data being used was secondary data which was obtained from Riset Kesehatan Dasar (Riskesdas) 2018 and Health Profile Year 2018. The independent variable was the achievement of Pandu PTM in percent and the dependent variable was the diabetes melitus prevalence. The data was then analyzed using simple linear regressionResults: The result shows that there was no relationship between Pandu PTM implementation with diabetes melitus incident number in Indonesia (p-value= 0,067)Conclusion: The implementation of Pandu PTM was not supported by expert health workers and there was still little awareness among the society. It was suggested to increase the expertise of health workers and increase people’s awareness of the importance of early detection of NCD risk factors.
Spatial Autocorrelation of Tuberculosis Cases in Central Java Province in 2022 Saini, Izzatul Mardiah; Eryando, Tris
Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan Vol. 4, No. 3
Publisher : UI Scholars Hub

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Abstract

Tuberculosis still becomes a health problem both in the world and in Indonesia. Central Java is The third highest province of tuberculosis in Indonesia. Spatial analysis is an essential tool for evaluating the tuberculosis distribution pattern according to geographic location. This research aims to determine tuberculosis hotspot areas and discover whether there is a spatial correlation between districts/cities in Central Java based on tuberculosis cases using the spatial autocorrelation method through the Moran Index and Local Indicators of Spatial Associations (LISA). Secondary data in the form of the aggregate number of all tuberculosis cases in 2022 was collected from the Indonesian Central Statistics Agency published in Central Java in Figures 2023. Analysis was carried out using ArcViw Gis 3.3 and GeoDa software and the unit of analysis of the study is districts/cities. The results of the research show that there is negative spatial autocorrelation with no spatial autocorrelation. This result means tuberculosis cases in one adjacent district/city in Central Java Province have different values and tend to spread. The area that will become a tuberculosis hotspot in Central Java in 2022 is Tegal Regency. The health intervention is suggested to be performed in tuberculosis hotspot areas to reduce tuberculosis cases in Central Java
Co-Authors Bagus, Nurzahara Kemal N. Siregar Misana, Fatima Nur Tris Eryando