YUDA ZAFITRA FADHLAN, - (2023) KLASIFIKASI SENTIMEN MASYARAKAT DI TWITTER TERHADAP GANJAR PRANOWO DENGAN METODE MODIFIED K-NEAREST NEIGHBOR. Jurnal Informatika Universitas Pamulang, 8 (2). pp. 191-198. ISSN ISSN: 2541-1004 e-ISSN: 2622-4615

Preview

Text JURNAL YUDA ZAFITRA FADHLAN.pdf - Published Version Download (1MB) | Preview

Abstract

Abstract In welcoming the 2024 democratic party, many politicians have started campaigning in each region which has generated a lot of different positive and negative sentiments in every Indonesian society. Ganjar Pranowo is one of the politicians who will take part as a candidate for the 2024 presidential candidate which has made many netizens on Twitter give their opinions on him. The purpose of this study is to classify public sentiment on Twitter towards Ganjar Pranowo using 4000 tweet data. The classification is divided into two classes, namely positive and negative using the Modified K-Nearest Neighbor method combined with feature weighting, feature selection using a supervised learning approach. The results of this study after going through the stages of retrieval, data labeling, preprocessing, feature weighting, feature selection, MK-NN and evaluating accuracy get the highest accuracy value at 83.8% with a ratio of 90:10 with a value of k = 3. Keywords: Ganjar Pranowo; Sentiment Classification; Modified K-Nearest Neighbor; Twitter

Actions (login required)

View Item