Public Sentiment Analysis Towards the Implementation of 2024 Election Preparations Using the Maximum Entropy Method

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Published Mar 30, 2024
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Vol. 4 No. 1 (2024): September - February

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Indra Ismawan Indra Ismawan
Universitas Islam Negeri Alauddin Makassar
Mustikasari Mustikasari
Universitas Islam Negeri Alauddin Makassar
Wahyuddin Saputra
Universitas Islam Negeri Alauddin Makassar

Abstract

The General Election Commission (KPU) and the Election Supervisory Agency (Bawaslu) are tasked with coordinating and overseeing elections throughout the territory of Indonesia. Nevertheless, elections are not without various disputes, including violations of ethical codes and administrative issues. General elections are an important way for the public to exercise their political participation rights. In the era of information technology, the public is increasingly active in expressing their opinions and sentiments through social media such as Twitter. Utilizing data from social media, the maximum entropy method is employed to classify opinions found in tweets based on entropy values. This research also aims to measure the accuracy level of the maximum entropy method in sentiment classification. From the results of this study, using approximately 1,400 data, an accuracy rate of 87.08% was obtained, which is quite good and highly feasible for further development to achieve better results

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite
[1]
I. I. Indra Ismawan, M. Mustikasari, and W. . Saputra, “Public Sentiment Analysis Towards the Implementation of 2024 Election Preparations Using the Maximum Entropy Method ”, Jagti, vol. 4, no. 1, pp. 22-28, Mar. 2024.

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