<![CDATA[Sentiment analysis has become an important method for understanding public opinion on social and religious issues. This study aims to analyze user sentiment regarding the issue of the adzan presented in a running text format using the K-Nearest Neighbors (K-NN) algorithm. The adzan as running text on national television occurred during Pope Francis's mass at Gelora Bung Karno Stadium (GBK) on September 5, 2024. The Ministry of Religious Affairs (Kemenag) advised that the Maghrib adzan, usually broadcast on national television, be replaced with running text. This recommendation was made to facilitate the live broadcast of the mass attended by Christian congregants and to honor the worship without disruption. Some parties, such as the Indonesian Ulema Council (MUI) and the General Chairman of PP Persis, stated that replacing the adzan with running text does not violate Islamic law, while Minister of Communication and Information Budi Arie Setiadi mentioned that the change is merely a suggestion. The research findings indicate that the K-NN algorithm involves several stages, including data collection and labeling, text processing, feature extraction using TF-IDF, and splitting the data into 80% for Training and 20% for Testing. Based on the test results, the K-NN model detected 10 positive sentiments and 168 negative sentiments, indicating a tendency for Twitter users to express more negative sentiments. Analysis using a Confusion matrix shows that this model achieved an accuracy rate of 88%, indicating good performance in sentiment classification.]]>
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