Validation of Vote Counting Supervision Based on Vote Tally at West Bangka District

Authors

  • Ekariva Annas Asmara Faculty of Computer Science, University of Bina Darma, Palembang, Indonesia
  • Mochammad Afiffudin Faculty of Computer Science, University of Bina Darma, Palembang, Indonesia
  • Tri Basuki Kurniawan Faculty of Computer Science, University of Bina Darma, Palembang, Indonesia
  • Edi Suryanegara Faculty of Computer Science, University of Bina Darma, Palembang, Indonesia

Keywords:

Vote Counting, Validation, Vote Supervision, Artificial Neural Networks

Abstract

In Indonesia, the supervision of regional head elections is carried out by the Election Supervisory
Board (Bawaslu) and its staff. Bawaslu conducts supervision starting from the initial stage to the
final stage. The mechanism for using the people's right to vote is carried out at the Voting and
Counting Stages. In the 2020 Regional Head Elections, the General Election Commission uses the
SIREKAP system (Electronic Recapitulation Information System) in the calculation of SIREKAP.
According to the author, there are still problems, one of which is a manual summation, calculation
errors, and input errors. On the Model C Form, the results of the KWK vote tally are calculated
manually, then the officer adds up the tally and enters it into the SIREKAP. Supervision of Vote
Count Recapitulation is an urgent matter because supervision is a comparison of vote acquisition
results which can prevent manual summation errors on Form Model C and Results-KWK. The
author proposes a validation method for monitoring vote counting using an artificial neural
network approach. With this method, the sum is done from Tally's votes.

Published

2022-11-30

How to Cite

Asmara, E. A., Afiffudin, M., Kurniawan, T. B., & Suryanegara, E. (2022). Validation of Vote Counting Supervision Based on Vote Tally at West Bangka District. Journal of Data Science, 2022. Retrieved from https://iuojs.intimal.edu.my/index.php/jods/article/view/52