📅 30 March 2024
DOI: 10.36499/jinrpl.v6i1.10312
Analisis Sentimen Review Hotel Menggunakan Metode Naïve Bayes pada Hotel di Wilayah Kota Cirebon
Jurnal Informatika dan Rekayasa Perangkat Lunak
Universitas Wahid Hasyim
📄 Abstract
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.
🔖 Keywords
#Cirebon City; Google Maps; Hotel; Naive Bayes; TF-IDF
ℹ️ Informasi Publikasi
Tanggal Publikasi
30 March 2024
Volume / Nomor / Tahun
Volume 6, Nomor 1, Tahun 2024
📝 HOW TO CITE
Andiana, Muhamad Jihad; Martanto, Martanto; Hayati, Umi, "Analisis Sentimen Review Hotel Menggunakan Metode Naïve Bayes pada Hotel di Wilayah Kota Cirebon," Jurnal Informatika dan Rekayasa Perangkat Lunak, vol. 6, no. 1, Mar. 2024.
ACM
ACS
APA
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver
Download Citation
0
Sitasi
Cek Google Scholar