Analisis Sentimen Masyarakat Terhadap Televisi Digital Pada Twitter Menggunakan Metode K-Means Clustering

TOBIN, Felisitas Bergita Wuleng (2023) Analisis Sentimen Masyarakat Terhadap Televisi Digital Pada Twitter Menggunakan Metode K-Means Clustering. Undergraduate thesis, Universitas Katolik Widya Mandira Kupang.

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Abstract

The government is gradually implementing the ASO (Analog Switch OFF), program throughout Indonesia so that people can get digital TV broadcasts. The ASO program causes interruption of analog TV broadcasts, and you have to use an STB (Set Top Box) device to get digital TV broadcasts. The ASO program has become a trending topic on Twitter, because many people give their opinions regarding digital TV broadcasts. A collection of opinions on Twitter can be analyzed, to determine the emotional sentiment contained in public opinion. This study uses the SentiArt, method for sentiment analysis and K-Means clustering for twitter opinion classification. The research data is a collection of tweets, in Indonesian with a total of 3,817 tweets. Data was taken on June 6-8 2023, using the twitter API using the search keywords "analog TV, digital TV and free STB". The results showed that the largest emotional sentiment in the tweet data was Joy (joy) totaling 2666 (69.827%) and the smallest emotion Anger (angry) amounting to 9 (0.236%). While the data which is divided into 6 clusters, shows the greatest emotional sentiment on K-5 happiness (227.23) and the smallest emotion on K-1 surprise (-1500.48).

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