Analysis of Trends in COVID-19 Mortality and Cure Based on Statistical Data between Provinces Indonesia

Authors

  • Lukman Nur E Universitas Teknologi Bandung
  • Fachril Dzulfian Universitas Teknologi Bandung
  • Ikeu Yulianti Universitas Teknologi Bandung

Keywords:

COVID-19, CFR, CRR, provincial area, descriptive quantitative

Abstract

This study aims to analyze trends in deaths and recoveries from COVID-19 in Indonesia during the period 2020 to 2022 with a quantitative descriptive approach. Data were obtained from the open platform Kaggle and included total cases, recovered cases, and deaths per province each year. The two main epidemiological indicators analyzed were Case Fatality Rate (CFR) and Case Recovery Rate (CRR), which were used to measure the severity and effectiveness of COVID-19 treatment in each region. The analysis was conducted spatially and temporally and visualized using Tableau to highlight inequality between regions. The results show that 2021 is the peak of the pandemic with the highest number of cases and deaths nationally. Provinces on the island of Java, such as East Java, Central Java and DKI Jakarta are under enormous health system pressure, reflected in high CFR and low CRR. In contrast, provinces outside Java such as Papua, West Kalimantan and North Sulawesi show lower CFR and higher CRR, despite having fewer cases. This disparity indicates differences in health facility capacity, population density, effectiveness of data reporting, and speed of medical treatment between regions. Spatial visualization reinforces these findings by showing that areas with high mobility and dense urbanization tend to be centers of virus spread. This study emphasizes the importance of a region-based pandemic response strategy, tailored to local characteristics. Recommendations include strengthening health infrastructure, improving the quality of reporting and data recording systems, and developing data-based responsive policies. The results of this study are expected to serve as a reference in the formulation of more adaptive and equitable public health policies, as well as a basis for further research that is more in-depth with a multidimensional approach.

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Published

2026-02-15

How to Cite

Nur E, L., Dzulfian, F., & Yulianti, I. (2026). Analysis of Trends in COVID-19 Mortality and Cure Based on Statistical Data between Provinces Indonesia. Journal of Artificial Intelligence Computer Engineering Science and Technology, 1(1), 10–17. Retrieved from https://journals.eduped.org/index.php/jaicest/article/view/1644

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