Analisis Sentimen Review Hotel Menggunakan Metode Naïve Bayes pada Hotel di Wilayah Kota Cirebon

Muhamad Jihad Andiana (STMIK IKMI CIREBON)
Martanto Martanto (STMIK IKMI CIREBON)
Umi Hayati (STMIK IKMI CIREBON)

Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6, No 1 (2024): Maret

Cirebon, a city in West Java, Indonesia, is known for its various tourist attractions, including culinary and historical sites. However, finding the right accommodation can be a challenge. To address this issue, a study has analyzed 875 hotel reviews in Cirebon from Google Maps, using the Naive Bayes method and the TF-IDF algorithm. The aim of this study is to help tourists get a better picture in choosing a hotel. The results show that this algorithm successfully achieved an accuracy of 90.52% in identifying whether the review was positive or negative. Even without the use of the SMOTE operator, the accuracy remains high, at 75.66%. So, this study provides a data-based solution for choosing a hotel in Cirebon.