Non-Parametric Analysis of Factors Influencing Maximum Heart Rate in the Healthcare Sector

Penulis

  • Nicholas Andrew Tanubrata Universitas Pelita Harapan
  • William Samuel Sambow Universitas Pelita Harapan
  • Jonathan Christian Universitas Pelita Harapan
  • Ferry Vincenttius Ferdinand Universitas Pelita Harapan http://orcid.org/0009-0003-8535-7008

DOI:

https://doi.org/10.19166/jstfast.v8i2.9009

Kata Kunci:

Expanded Median Test (K-Sample), Kruskal-Wallis Test, maximum heart rate factors, non-parametric analysis, Pearson Correlation Test

Abstrak

This study aimed to analyze factors affecting maximal heart rate, including resting electrocardiogram (ECG) results, chest pain type, and blood pressure. Respondents were classified into risk groups based on these factors to facilitate analysis. In addition, the study applied a variety of non-parametric statistical tests tailored to the type of data and the objectives of the study. The methods used in this study were Expanded Median Test (K-Sample), Pearson Correlation Test, and Kruskal-Wallis Test, which were chosen because they were appropriate for the type of data and the purpose of the study which involved testing the median between multiple groups. The results showed that the factors that significantly affected maximal heart rate were ECG and type of chest pain, while blood pressure had no effect. The findings are expected to contribute to efforts in early detection and management of cardiovascular conditions by identifying modifiable factors that affect maximal heart rate

Biografi Penulis

Nicholas Andrew Tanubrata, Universitas Pelita Harapan

Program Studi Matematika

William Samuel Sambow, Universitas Pelita Harapan

Program Studi Matematika

Jonathan Christian, Universitas Pelita Harapan

Program Studi Matematika

Ferry Vincenttius Ferdinand, Universitas Pelita Harapan

Program Studi Matematika

Referensi

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Diterbitkan

2024-11-30

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