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Spatiotemporal Analysis of Interaction of Pollutants on Pneumonia Cases Distribution in Metropolitan Jakarta Salman Alfarisi; Syavera, Venita
JURNAL KESEHATAN LINGKUNGAN Vol. 17 No. 2 (2025): JURNAL KESEHATAN LINGKUNGAN
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jkl.v17i2.2025.136-145

Abstract

Introduction: Pneumonia is one of the leading causes of death in children under five globally, including in Indonesia. Large metropolitan cities such as Jakarta face a heavier burden due to poor air quality and high population density, further increasing the spread of this disease. This study aims to identify areas with high pneumonia risk and contributing pollutant factors to support more effective interventions and guide policy-making in reducing the impact of pneumonia in urban areas. Methods: This study used the Besag-York-MolliƩ 2 spatiotemporal model with INLA to analyze the geographic distribution of disease and the influence of pollutant factors. The data comes from Social Security Agency, which has not been used in previous similar studies, and the Jakarta Environmental Agency, thus providing a more accurate description of the actual conditions. Results and Discussion: The effects of pollutants were analyzed based on their credibility intervals, with CO (0.0004, 0.0014); SO2 (-0.0220, 0.0092); and PM10 (-0.0123, 0.0362). Meanwhile, the effect of the time factor (year) has a credibility interval of (0.1669, 0.3464). Spatiotemporal analysis shows an increase in relative risk spread across Jakarta. Conclusion: It was shown through the study that pollutants, particularly CO, positively affected the rising cases of pneumonia, whereas other pollutants discussed under the study had no significant impact. Additionally, time also made a significant impact on the study. The risk ratio for every region of Jakarta rose, and this highlights the importance of air quality management, sustainable urban development, and access to health in an equitable equally.
Generalized Linear Model Menggunakan Distrbusi Lognormal dan Gamma: Aplikasi Terhadap Indeks Demokrasi Indonesia di Jawa Barat Romadhona, Wulanova; Syavera, Venita
AKSIOMA : Jurnal Sains Ekonomi dan Edukasi Vol. 2 No. 1 (2025): AKSIOMA : Jurnal Sains, Ekonomi dan Edukasi
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/gbezv413

Abstract

Generalized Linear Models (GLM) is a statistical approach that generalize linear regression models to handle response variables that are not necessarily normal. This research uses Gamma and Lognormal distributions to analyze the effect of Labor Force Participation Rate, Gini Ratio, and Percentage of Working Population on the Indonesia Democracy Index in West Java during 2021-2023. Both distributions are used and compared using AIC. Some of the results of this research are: 1) Lognormal GLM has a lower AIC, so it is better to use than Gamma GLM. 2) From these two models, obtained the same analysis results, that are Gini Ratio and Percentage of Working Population have a significant effect on Indonesia Democracy Index, with the Gini Ratio having a negative effect and the Percentage of Working Population having a positive effect. This shows that the higher of the Gini Ratio, the lower the Indonesia Democracy Index and vice versa, while the higher of the Percentage of Working Population, the higher the Indonesia Democracy Index and vice versa. 3) Meanwhile the Labor Force Participation Rate does not have a significant effect on the Indonesia Democracy Index. This research can be concluded that reducing social inequality and increasing population participation in employment contribute to improving the quality of democracy in West Java.