Analysis of Voter Attendance at Polling Stations in the Presidential Election Using C4.5 Algorithm (Case Study in Wonokasian Sidoarjo Village)

Analisis Kehadiran Pemilih di Tempat Pemungutan Suara Pada Pemilihan Presiden dengan Menggunakan Algoritma C4.5 (Studi Kasus di Desa Wonokasian Sidoarjo)

Abstract

General elections are held five years in which Indonesian citizens participate as part of the democratic. Citizen participation is important to exercise right to vote in selecting leaders during elections. The increasing number of voters participating in the election can be used as a benchmark for the success of the election. Researchers will test the classification based on election population data obtained from Wonokasian Village in 2019 using the C4.5 data mining method. The variables used are the number of households, population origin, category, status, RT, TPS, location, attendance (family) and presence. The results of the study use Weka to make it easier for village people to find out election data between those who are present and those who are not present. From the classification results in the C4.5 method for classifying the presence status of the 1,700 dataset, truth level of 91.94% and error rate of 8.05% were obtained.