ESTIMASI: Journal of Statistics and Its Application
Vol. 4, No. 2, Juli, 2023 : Estimasi

Analisis Sentimen Survei Regsosek pada Twitter Menggunakan Algoritma K-Nearest Neighbor (K-NN)

Bunga Ayuningrum (a:1:{s:5:"en_US"
s:33:"Universitas Muhammadiyah Semarang"
})

Hilma Hanna Mahanna Haqq (Unknown)
Suci Mega Puji Lestari (Unknown)
M Al Haris (Unknown)



Article Info

Publish Date
04 Aug 2023

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%.

Copyrights © 2023






Journal Info

Abbrev

ESTIMASI

Publisher

Subject

Mathematics

Description

ESTIMASI: Journal of Statistics and Its Application, is a journal published by the Department of Statistics, Faculty of Mathematics and Natural Sciences, Hasanuddin University. ESTIMASI is a peer – reviewed journal with the online submission system for the dissemination of statistics and its ...