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All Journal SAGA: Journal of Technology and Information Systems Journal of Blockchain, Nfts and Metaverse Technology
Maulana Habib Firmansyah
Department of Computer Science, Muhammadiyah University of Sidoarjo, Sidoarjo, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science

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Model Analysis of the 2019 Election Participation Level Against Demographics in Pamekasan Regency Using the Naive Bayes Method Maulana Habib Firmansyah; Arif Senja Fitrani; Azmuri Wahyu Azinar; Suhendro Busono
SAGA: Journal of Technology and Information System Vol. 4 No. 2 (2026): May 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v4i2.738

Abstract

This study aims to analyze the level of election participation in 2019 in Pamekasan Regency based on demographic data using the Naive Bayes classification method. The data used consists of 189 instances and 208 predictor attributes obtained from the publication of the Central Statistics Agency (BPS). The analysis process involves the stages of preprocessing, feature selection, and model evaluation. The test results show a model accuracy of 66%, with the highest f1-score value in the high participation class. Further analysis also shows that most sub-districts and villages in Pamekasan have a high level of participation. In addition, a very strong correlation was found between demographic attributes that have the potential to be important predictors of voter involvement. These findings provide an initial overview to understand the factors that influence public participation in elections.
Model Analysis of the 2019 Election Participation Level Against Demographics in Pamekasan Regency Using the Naive Bayes Method Maulana Habib Firmansyah; Arif Senja Fitrani; Azmuri Wahyu Azinar; Suhendro Busono
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 3 No. 1 (2025): February 2025
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v3i1.609

Abstract

This study aims to analyze the level of participation in the 2019 elections in Pamekasan Regency based on demographic data using the Naive Bayes classification method. The data used consisted of 189 instances and 208 predictor attributes obtained from the Central Statistics Agency (BPS) publication. The analysis process involved preprocessing, feature selection, and model evaluation stages. The test results showed a model accuracy of 66%, with the highest f1-score value in the high participation class. Further analysis also shows that most subdistricts and villages in Pamekasan have high participation rates. In addition, a very strong correlation was found between demographic attributes that have the potential to be important predictors of voter engagement. These findings provide an initial overview to understand the factors that influence community participation in elections.
Co-Authors Arif Senja Fitrani Azmuri Wahyu Azinar Suhendro Busono