STATISTICAL ANALYSIS OF DENGUE FEVER (DF) CASES IN RIAU PROVINCE IN 2024

Abstract

This study aims to analyze the distribution of Dengue Fever (DF) incidence rates per 100,000 population in Riau Province in 2024 and to develop data visualizations in the form of data-driven batik patterns. The method used is a quantitative approach involving descriptive statistical analysis of secondary data obtained from official reports of the Riau Provincial Health Office. The analysis was conducted by calculating measures of central tendency and dispersion, as well as observing distribution patterns using tables and graphs. The results indicate that the DBD incidence rate in Riau Province in 2024 exhibits significant variation, with a minimum value of 7.70 and a maximum of 246.50 per 100,000 population. Most regions fall into the low to moderate categories, while some regions exhibit significantly higher values, resulting in an uneven distribution that is right-skewed. Graphical visualizations reveal a wave-like pattern reflecting data variations across regions. Subsequently, these graphical patterns were transformed into batik motifs through geometric approaches involving translation, reflection, and repetition. The resulting motifs not only possess aesthetic value but also visually represent the data structure. Thus, this study demonstrates that statistical data can be processed into creative and innovative visual forms without losing its informative meaning.