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All Journal JURNAL KESEHATAN LINGKUNGAN (Journal of Environmental Health) Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity AKSIOMA : Jurnal Sains Ekonomi dan Edukasi
Syavera, Venita
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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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-Mollié 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.
The Impact of Different Types of Conflict on the U.S. Dollar Exchange Rate Syavera, Venita; Alfarisi, Salman
Jurnal Pertahanan: Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity Vol 11, No 2 (2025)
Publisher : The Republic of Indonesia Defense University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33172/jp.v11i2.19874

Abstract

Fluctuations in the dollar exchange rate reflect the macroeconomic dynamics experienced by a country. Exchange rate instability is often triggered by external factors, one of which is socio-political conflicts such as wars, violence against civilians, explosions, and protests. This study aims to examine the impact of various types of conflicts on the changes in USD-IDR in Indonesia. The research was conducted using data from 2015–2022 and applying the Generalized Linear Model (GLM) approach, specifically Poisson regression with a log link function, which is deemed appropriate for count-type data that do not follow a normal distribution. Exchange rate data was obtained from Badan Pusat Statistik (BPS), while conflict data came from the Armed Conflict Location Event Data (ACLED) database. The independent variables analyzed include the categories of war, civil violence, explosions, and protests. The estimation results show that war has a significant negative impact on the exchange rate, while incidents of explosions and protests have a significant positive impact. On the other hand, civil violence has not been statistically proven to have an impact. The results of this study indicate that not all types of conflict have the same impact on exchange rates, making it important for policymakers to identify and differentiate types of conflict in economic analysis. This study opens up opportunities for further research by incorporating other macroeconomic variables and cross-country comparative approaches.
Co-Authors Romadhona, Wulanova Salman Alfarisi Salman Alfarisi