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Vol. 10, No. 3, August 2025

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Analysis of Public Opinion on The Governor Candidate Debate Using LDA and IndoBERT

https://doi.org/10.22219/kinetik.v10i3.2221
Ahmad Abdul Chamid
UMK
Ratih Nindyasari
Universitas Muria Kudus
Noor Azizah
Universitas Islam Nahdlatul Ulama Jepara
Ahmad Hariyadi
Universitas Muria Kudus

Corresponding Author(s) : Ahmad Abdul Chamid

abdul.chamid@umk.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 10, No. 3, August 2025

Abstract

The gubernatorial candidate debate was broadcast live streaming through various YouTube channels, which attracted public attention. Many discussions and multiple conversations appeared in the comment’s column of each YouTube channel that broadcasted the debate. With the many public talks, it is undoubtedly interesting to analyze the contents of the conversation, as well as the expectations and input from the public. However, conversations in the form of text data will be challenging to analyze using conventional methods. So, in this study, public opinion will be analyzed using the topic identification and sentiment classification approaches. Topic identification is carried out to obtain accurate information about what the public is talking about, while sentiment classification is used to find out whether each comment contains positive or negative sentences. This research is novel because it uses data collected from various major media YouTube channels and qualitative analysis of the findings. This study uses public comment data taken from the KPU, NarasiTV, and KompasTV YouTube channels; the results obtained were 4.147 data. Preprocessing data carries out the process, identifying topics using the LDA method, evaluating the LDA model, then sentiment classification using IndoBERT and visualizing the results of the public opinion analysis. The results obtained were five topics with a perplexity value = -7.7909 and a coherence score = 0.5109. In addition, topic 4 is the most dominant compared to other topics, and there are 1.146 comments classified as positive sentiment and 504 negative comments. Topic 4 reflects how religion, culture, and frequently mentioned figures are perceived and discussed by the public, especially in relation to the gubernatorial election (pilgub) or gubernatorial candidate debates.

Keywords

Analysis of Public Opinion Topic Modeling Sentiment Classification LDA BERT
Chamid, A. A., Nindyasari, R., Azizah, N., & Hariyadi, A. (2025). Analysis of Public Opinion on The Governor Candidate Debate Using LDA and IndoBERT. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 10(3). https://doi.org/10.22219/kinetik.v10i3.2221
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