Analisis Sentimen Performansi Operator Telekomunikasi di Indonesia Menggunakan Metode Text Mining
DOI:
https://doi.org/10.54259/satesi.v5i1.4024Kata Kunci:
Sentiment Analysis, Telecommunications, Text Mining, VADERAbstrak
Sektor telekomunikasi di Indonesia telah mengalami perkembangan yang pesat dalam beberapa tahun terakhir, ditandai dengan semakin banyaknya operator telekomunikasi yang menawarkan berbagai layanan dan produk. Oleh karena itu, terjadi persaingan yang kompetitif diantara operator. Diperlukan strategi yang tepat untuk dapat bertahan dan bersaing secara efektif. Salah satu upaya yang dapat dilakukan oleh perusahaan telekomunikasi adalah dengan melakukan evaluasi terhadap performansi operasional. Penelitian ini bertujuan untuk menganalisis sentimen pengguna X terhadap performansi operasional dengan menggunakan metode Naïve Bayes, Support Vector Machine dan Decision Tree Learning. Hasil dari penelitian menggunakan teknik split validation dan cross validation adalah metode Support Vector Machine memiliki akurasi yang paling baik dibandingkan kedua metode lain. Selain itu, diketahui operator telekomunikasi yang memiliki sentimen positif dan negative yang lebih banyak.
Unduhan
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Hak Cipta (c) 2025 Ersha Aisyah Elfaiz, Riza Akhsani Setyo Prayoga , Monica Cinthya, Muhammad Sonhaji Akbar, Rizky Basatha
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