The Influence of Political Parties in the 2024 Bengkulu Provincial Gubernatorial Election: A Correlation and Anova Analysis

Main Article Content

Fierianti Fierianti
J.H. Isabel D. Gultom
Arum Pujiastuti
Etis Sunandi
Chesa Nabilla Azzahra

Abstract

This study examines the role of political parties in the 2024 Bengkulu Gubernatorial Election using a quantitative survey-based approach. Data were collected from 33 respondents in Muara Bangka Hulu District, Kandang Limun Village, through stratified random sampling based on age groups. The study focuses on three key variables: the influence of political parties, perceptions of political parties, and financial support. Correlation analysis revealed a strong positive relationship between the variables, with the highest coefficient observed between political party influence and public perception (0.877). However, ANOVA results indicated no statistically significant impact of political parties on voter preferences (p-value = 0.231). These findings suggest that while political parties play a role in electoral dynamics, other factors such as candidate characteristics and local political issues may have a greater influence on voter decisions.

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How to Cite
Fierianti, F., D. Gultom, J. I. ., Pujiastuti, A. ., Sunandi, E. ., & Azzahra, C. N. . (2024). The Influence of Political Parties in the 2024 Bengkulu Provincial Gubernatorial Election: A Correlation and Anova Analysis. Symmetry & Sigma: Journal of Mathematical Structures and Statistical Patterns, 1(2), 87-98. https://doi.org/10.58989/symmerge.v1i2.22
Section
Articles
Author Biography

Etis Sunandi, University of Bengkulu, Indonesia

Doctor of Statistics

Department of Statistics, University of Bengkulu, Indonesia

(Scopus ID: 57204559776; Sinta ID: 5983173; Google Schoolar ID: 7f5cXHgAAAAJ&hl

How to Cite

Fierianti, F., D. Gultom, J. I. ., Pujiastuti, A. ., Sunandi, E. ., & Azzahra, C. N. . (2024). The Influence of Political Parties in the 2024 Bengkulu Provincial Gubernatorial Election: A Correlation and Anova Analysis. Symmetry & Sigma: Journal of Mathematical Structures and Statistical Patterns, 1(2), 87-98. https://doi.org/10.58989/symmerge.v1i2.22

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