Sentiment Analysis Of Mie Gacoan Reviews In Blitar City On The Grab Application Using The Support Vector Machine Method
DOI:
https://doi.org/10.35457/jwf5eb71Keywords:
Sentiment Analysis, Support Vector Machine (SVM), Pre Processing, TF-IDF, Mie Gacoan, Confusion Matrix Grid Search and Cross Validation.Abstract
This study aims to analyze customer review sentiments for Mie Gacoan restaurant in Blitar City through the Grab application using the Support Vector Machine (SVM) algorithm. Customer reviews are categorized into three sentiment classes: positive, negative, and neutral. And the total amount of data used is 991 data. The research process includes manual data collection, text preprocessing, weighting using the TF-IDF method, and classification with the SVM algorithm. Model performance is evaluated using a confusion matrix with precision, recall, and F1-score metrics. And for the testing of the algorithm method using Grid Search and Cross Validation. The results show that the linear kernel achieves the best performance with an F1-score of 0.4649. Positive sentiment dominates the reviews, while negative and neutral sentiments are less prevalent. This study demonstrates that SVM is effective for classifying sentiments in customer reviews and can assist restaurant managers in identifying areas for service improvement.
References
Armawan, A., et al. (2023). Optimasi Parameter Support Vector Machine Dengan Algoritma Genetika Untuk Analisis Sentimen Pada Media Sosial Instagram.
https://doi.org/10.25126/jtiik.20241117584
Prasetyo, A., & Putra, B. (2024). Analisis Sentimen Twitter Pada Cryptocurrency Menggunakan Bidirectional Encoder Representations From Transformers (BERT).
Radiena, I., & Nugroho, H. (2023). Analisis Sentimen Berbasis Aspek Pada Ulasan Aplikasi Kai Access Menggunakan Metode Support Vector Machine.
Salsabillah, N., et al. (2024). Text Mining untuk Analisis Data Tidak Terstruktur.
Sugiyarto, D., et al. (2024). Perkembangan Teknologi Transportasi Online di Indonesia.
Susanti, F., & Rianto, A. I. (2020). Analisis Sentimen Penyedia Layanan by.U pada Ulasan Google Play Store dengan Metode TF-IDF dan Support Vector Machine (SVM). Jurnal lImiah Informatika, 7(2).
https://doi.org/10.37792/jukanti.v6i1.836
Tinaliah, T., & Elizabeth, T. (2022). Analisis Sentimen Ulasan Aplikasi PrimaKu Menggunakan Metode Support Vector Machine. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 9(4), 3436–3442.
https://doi.org/10.35957/jatisi.v9i4.3586
Vina, F., Lutfi, H., Dian, C. R. N., & Ahmad, H. A. (2022). Analisis Sentimen Ulasan Aplikasi Jamsostek Mobile Menggunakan Metode Support Vector Machine. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 9(4), 3436–3442.
https://doi.org/10.35957/jatisi.v9i4.3586
Zahro, F. (2024, August 5). Rekomendasi Mie Pedas di Blitar: Pedasnya Bikin Lidah Bergoyang! Bicara Blitar.
http://www.bicarablitar.com/2024/08/rekomendasi-mie-pedas-di-blitar.html
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Bayu Samudra, Sri Lestanti, Rizky Dwi Romadhona
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish in this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Deprecated: json_decode(): Passing null to parameter #1 ($json) of type string is deprecated in /home/ejournal.unisbablitar.ac.id/public_html/plugins/generic/citations/CitationsPlugin.php on line 68
