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Implementation of Artificial Intelligence by the General Elections Commission in Creating a Credible Voter List

In the 20th century, artificial intelligence was a necessity that cannot be separated from human activities every day. In its development, artificial intelligence has influenced the process of running democracy where the implementation of elections has been supported by internet-based systems to mak...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2021-03, Vol.717 (1), p.12017
Main Authors: Akbar, Paisal, Loilatu, Mohammad Jafar, Pribadi, Ulung, Sudiar, Sonny
Format: Article
Language:English
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Summary:In the 20th century, artificial intelligence was a necessity that cannot be separated from human activities every day. In its development, artificial intelligence has influenced the process of running democracy where the implementation of elections has been supported by internet-based systems to make it easier for organizers, election participants, and voters in realizing the overflow and judicial elections. This research attempts to examine the Voter List Information System ( Sidalih ) owned by the General Elections Commission ( KPU ). The goal is to examine the extent of the system on how it works effectively in realizing credible votes list, what factors influence its implementation. The method used in this study is a descriptive qualitative approach. Research data collection is obtained from literature studies of previous articles and data from recapitulation by the General Elections Commission. Based on the results of the research, it will be presenting the extent to which Sidalih effectiveness in creating credible voter list, knowing the obstacles faced in implementing Sidalih in the field, the data processing through coding literature data, and reporting to reputable online media which reports the implementation of updating data, as well as listing voters by the General Elections Commission in the 2019 General Election. The coding result data is then processed using the Nvivo 12 plus feature.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/717/1/012017