STATISTICAL DATA ANALYSIS OF TUBERCULOSIS DISEASE IN YOGYAKARTA CITY IN 2024
Keywords:
Tuberculosis, TB detection rate, treatment success rate, Yogyakarta City, DI Yogyakarta, simulation, mathematical modelAbstract
Tuberculosis (TB) is an infectious disease that remains a public health problem in Indonesia, including in the Special Region of Yogyakarta (DIY). This study aims to analyze the TB case detection rate and TB treatment success rate in Yogyakarta City and compare them with the average values in the Special Region of Yogyakarta (DIY) in 2024, based on official data from the Central Statistics Agency (BPS). The research method used was quantitative with a descriptive analytical approach using secondary data. Data were analyzed through tabulation, difference calculations, comparison ratios, and diagrammatic visualization. Furthermore, this study also developed a simple mathematical model in the form of a ratio comparison as a simulation to illustrate the trend of the TB detection rate indicator on a specific scale. The results showed that Yogyakarta City had a TB detection rate of 143.0, higher than Yogyakarta (83.0). However, the TB treatment success rate in Yogyakarta City, at 82.0, was slightly lower than Yogyakarta (84.4). The mathematical model simulation showed that the slope of the graph in Yogyakarta City was greater than in Yogyakarta, indicating a higher case detection rate. The conclusion of this study is that TB case detection in Yogyakarta City is quite good, but efforts are still needed to improve treatment success through strengthening patient compliance, therapy monitoring, and public health education.
