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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Teknologi Informasi MURA RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI
Intan, Bunga
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Computer Science & IT Control & Systems Engineering Engineering Other

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Journal : RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI

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Analisis Sentimen Aplikasi Youtube di Google Play Store Menggunakan Machine Learning Alga, Jimmy; Wulandari, Cindi; Intan, Bunga
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 4 (2024): RESOLUSI March 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i4.1750

Abstract

YouTube users can create, watch, and share videos for free. Interaction between viewers occurs through the comment feature, which can be positive or negative. The frequent appearance of negative comments on the youtube application on the google play store can have an effect on these accounts. But to find out how much negative comments on the account are needed, an SVM algorithm is needed.  This study aims to determine the sentiment towards the youtube application on the google play store using Machine Learning with the SVM algorithm. The data taken is 4996 review data which is then preprocessed so that the remaining data becomes 4993 data that can be processed. Data labelling is done automatically based on the review rating score. The results of data labelling are divided into 3 classes, namely positive classes as many as 1083, negative classes as many as 3365 and neutral as many as 545. Classification and evaluation are carried out using the SVM method. Based on the training and testing data comparison value of 9: 1, the results obtained an accuracy rate of 75% then negative class precision of 76% and negative class recall of 97% and K-Fold Cross Validation testing using a value of K = 10 with an average accuracy of 0.75 or 75%.
Co-Authors Alga, Jimmy Astuti, Endang Tri Elmayati, Elmayati Hidayat, Asep Toyib Irawan, Davit Irvai, Muhammad Kelpin, Yogi Milenia, Aprilsa Nurdiansyah, Deni Rusdiyanto Rusdiyanto, Rusdiyanto Wulandari, Cindi