ANALISIS SENTIMEN PUBLIK TERHADAP JKT48 DI MEDIA SOSIAL TWITTER MENGGUNAKAN SUPPORT VECTOR MACHINE Public Sentiment Analysis of JKT48 on Twitter Using Support Vector Machine

Pradwi, I Gusti Bagus Putra Pradwi (2025) ANALISIS SENTIMEN PUBLIK TERHADAP JKT48 DI MEDIA SOSIAL TWITTER MENGGUNAKAN SUPPORT VECTOR MACHINE Public Sentiment Analysis of JKT48 on Twitter Using Support Vector Machine. Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.

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Abstract

The growth of social media, particularly Twitter, has made it a primary platform for sharing information and public opinion, including on entertainment topics such as idol groups in Indonesia. JKT48, an idol group operating under the "idols you can meet" concept, maintains fan interactions but faces challenges regarding member scandals and public perception of its management (JOT JKT48). This study aims to analyze public sentiment on Twitter regarding JKT48 using the Support Vector Machine (SVM) method. Data was collected by crawling tweets related to JOT JKT48 and member scandals between January and December 2024. The processing workflow included preprocessing (case folding, cleaning, normalization, tokenization, stopword removal, and stemming), sentiment labeling using the InSet Lexicon, Term Frequency-Inverse Document Frequency (TF-IDF) weighting, and classification using SVM with a linear kernel. Model evaluation was conducted using a confusion matrix based on accuracy, precision, recall, and F1-Score metrics. The results demonstrate that SVM effectively classifies positive, negative, and neutral sentiments, while also generating word clouds and bar charts to visualize public perception. These findings are expected to provide strategic insights for JKT48 management in understanding fan and public opinions, formulating appropriate communication policies, and minimizing potential future conflicts.

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