Implementasi model Naive Bayes multikategori untuk analisis sentimen produk Wardah di E-commerce Shoppe

Mesra Betty Yel ; Sopan Adrianto ; Rasiban Rasiban ; Eva Widiyanti
International Journal of Information Engineering a... 📅 2026 Vol 2, No 2 🔗 DOI: 10.62951/ijies.v2i2.6
Abstract
The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and support decision-making in business strategy and product development.
Keywords
Sentiment Analysis Algoritma Naive Bayes Multi-Category Shopee Wardah
How to Cite

Mesra Betty Yel, et al. (2026). Implementasi model Naive Bayes multikategori untuk analisis sentimen produk Wardah di E-commerce Shoppe. International Journal of Information Engineering and Science, 2(2). https://doi.org/10.62951/ijies.v2i2.6

Mesra Betty Yel; Sopan Adrianto; Rasiban Rasiban; Eva Widiyanti, "Implementasi model Naive Bayes multikategori untuk analisis sentimen produk Wardah di E-commerce Shoppe," International Journal of Information Engineering and Science, vol. 2, no. 2, 2026.

Mesra Betty Yel; Sopan Adrianto; Rasiban Rasiban; Eva Widiyanti. "Implementasi model Naive Bayes multikategori untuk analisis sentimen produk Wardah di E-commerce Shoppe." International Journal of Information Engineering and Science, vol. 2, no. 2, 2026.

Mesra Betty Yel; Sopan Adrianto; Rasiban Rasiban; Eva Widiyanti. "Implementasi model Naive Bayes multikategori untuk analisis sentimen produk Wardah di E-commerce Shoppe." International Journal of Information Engineering and Science 2, no. 2 (2026).

Mesra Betty Yel, et al. (2026) 'Implementasi model Naive Bayes multikategori untuk analisis sentimen produk Wardah di E-commerce Shoppe', International Journal of Information Engineering and Science, 2(2). doi: 10.62951/ijies.v2i2.6.

Mesra Betty Yel; Sopan Adrianto; Rasiban Rasiban; Eva Widiyanti. Implementasi model Naive Bayes multikategori untuk analisis sentimen produk Wardah di E-commerce Shoppe. International Journal of Information Engineering and Science. 2026;2(2).

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