ANALISIS SENTIMEN DALAM TOKOPEDIA TERHADAP ULASAN PELANGGAN MENGGUNAKAN METODE NAÏVE BAYES

Authors

  • Rayhan Ferdiansyah Universitas Nusantara PGRI Kediri Indonesia
  • Kevin Risky Abadi Universitas Nusantara PGRI Kediri Indonesia
  • Erna Daniati Universitas Nusantara PGRI Kediri Indonesia https://orcid.org/0009-0008-9471-4421

DOI:

https://doi.org/10.29407/kh6ctb25

Abstract

Penelitian ini membahas klasifikasi sentimen ulasan pengguna Tokopedia menggunakan algoritma Naïve Bayes. Semakin banyaknya ulasan konsumen di e-commerce mendorong perlunya sistem otomatis untuk memahami opini pelanggan secara efisien. Dataset diperoleh dari Kaggle dan berisi komentar pengguna terhadap produk masker kesehatan. Proses analisis melibatkan pembersihan teks, tokenisasi, ekstraksi fitur menggunakan TF-IDF, serta klasifikasi sentimen menjadi positif dan negatif. Algoritma Naïve Bayes digunakan karena kemampuannya yang sederhana namun akurat dalam klasifikasi teks. Hasil evaluasi menunjukkan model menghasilkan akurasi tinggi dan mampu mengidentifikasi kecenderungan opini pengguna. Temuan ini diharapkan dapat dimanfaatkan oleh pelaku e-commerce dalam pengambilan keputusan berbasis data pelanggan.

Keywords:

Analisis Sentimen, Tokopedia, Naive Bayes, Ulasan Tokopedia, Machine Learning

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References

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Published

2025-07-10

Issue

Vol. 9 No. 1 (2025): Prosiding Seminar Nasional Inovasi Teknologi Tahun 2025

Section

Articles

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Copyright (c) 2025 Rayhan Ferdiansyah, Kevin Risky Abadi, Erna Daniati

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How to Cite

ANALISIS SENTIMEN DALAM TOKOPEDIA TERHADAP ULASAN PELANGGAN MENGGUNAKAN METODE NAÏVE BAYES. (2025). Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 9(1), 024-029. https://doi.org/10.29407/kh6ctb25