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All Journal ESTIMASI: Journal of Statistics and Its Application
Bunga Ayuningrum
a:1:{s:5:"en_US";s:33:"Universitas Muhammadiyah Semarang";}
Mathematics

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Analisis Sentimen Survei Regsosek pada Twitter Menggunakan Algoritma K-Nearest Neighbor (K-NN) Bunga Ayuningrum; Hilma Hanna Mahanna Haqq; Suci Mega Puji Lestari; M Al Haris
ESTIMASI: Journal of Statistics and Its Application Vol. 4, No. 2, Juli, 2023 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v4i2.25522

Abstract

Indonesia in 2022, will experience a shift in adaptation to recovery from the pandemic as well as rising global commodity prices due to the impact of the Ukraine-Russia war. The government in its efforts to deal with this situation, one of which is by transforming data into one data through the 2022 Social Economic Registration (Regsosek) as a requirement for social protection system reform. However, in practice, Research and Research has become quite a public concern, where the content is almost the same as previous surveys conducted by BPS, which raises questions about the effectiveness of this survey. This study aims to determine the sentiments of each opinion on social media Twitter regarding 2022 Social Security. This research implements the K-Nearest Neighbor (K-NN) method to analyze sentiment in tweets. Data obtained from Twitter by scrapping. The polarity percentage results from the tweets obtained are dominated by negative opinions. The best application of the K-Nearest Neighbor (K-NN) algorithm is using the parameter k = 3. The model built shows very good performance with an accuracy of 96%, a recall of 100%, and a precision of 0,96%.
Co-Authors Hilma Hanna Mahanna Haqq M. Al Haris Suci Mega Puji Lestari