TY  - JOUR
A1  - Hasan, Firman Noor
N2  - The case of Indonesia's failure to host the U-20 World Cup in 2023 has become a hot topic of discussion in Indonesia. The rejection of the Israel U-20 national team and security factors by FIFA are considered the main reasons for the cancellation. This raises many issues and controversies from various parties. In this study, sentiment analysis using the Naive Bayes algorithm was conducted. Researchers use the naive bayes algorithm because this algorithm has high accuracy with simple calculations. The data obtained in this study came from 250 tweets of Twitter data with a ratio of training and test data of 7:3. The results showed good data classification with 97.26% accuracy, 93.33% precision, and 100% recall. In conclusion, the classification model developed can describe public sentiment related to Indonesia's failure in the U-20 World Cup well.
IS  - 6
TI  - (JUTIF - S3) - Zaini, Sari, Hasan [2023-12-23]
EP  - 1418
AV  - public
ID  - repository30541
UR  - https://jutif.if.unsoed.ac.id/index.php/jurnal/article/view/1209
PB  - Informatics, Universitas Jenderal Soedirman
VL  - 4
Y1  - 2023/12/23/
JF  - JUTIF: Jurnal Teknik Informatika
SN  - 2723-3871
SP  - 1409
ER  -