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All Journal PELS (Procedia of Engineering and Life Science)
Ferry Setiawan
Universitas Muhammadiyah Sidoarjo
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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The Influence of Village Demographics on the Prediction of Community Participation in Elections Using the Naïve Bayes Algorithm (Case Study: Pacitan City) Ferry Setiawan; Arif Senja
Procedia of Engineering and Life Science Vol 3 (2022): Proceedings of the 5th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v3i0.1337

Abstract

Voters' demographic factors have an influence in regional head elections or regional elections. The study will classify based on general election data obtained from villages in sub-districts in Pacitan Regency using data mining techniques. The variables that will be used in classifying villages are TPS, DPT, Attendance and Golput. The method that will be used is the Naïve Bayes method which is one of the classification techniques in data mining. Based on the research conducted, it is concluded that the information system created can classify villages into 2 types, namely low and high by Naïve Bayes method.
Co-Authors Arif Senja