Analysis of hotel visits in Ambon city using the naive bayes algorithm
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Abstract
The rapid growth of tourism in Ambon City has increased competition among accommodations, necessitating data-driven performance evaluations. Prospective tourists often struggle with unstructured online reviews, while hotel management requires precise insights for improvement. This study aims to systematically classify hotel performance in Ambon City using the Naïve Bayes Algorithm based on reviews from platforms like Agoda and TripAdvisor. Adopting a descriptive quantitative methodology, the study processes and labels performance data as "Good," "Poor," or "Very Good." Findings demonstrate that the Naïve Bayes model is highly effective, achieving 91% accuracy. Evaluation via a Confusion Matrix confirms the model's reliability in predicting majority categories, proving that ratings and reviews are strong satisfaction predictors. While the model faces minor challenges with the "Poor" minority category due to limited data, the study provides strategic value. It offers management guidance for targeted improvements and helps tourists make informed decisions, ultimately enhancing the competitiveness of Ambon’s hospitality industry
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How to Cite
Doren, H. ., Manuhutu, J. V., Makaruku, Y. N. ., Latuny, W. . and Maimina, A. . (2026) “Analysis of hotel visits in Ambon city using the naive bayes algorithm”, Jurnal Mantik, 9(4), pp. 1410-1421. doi: 10.35335/mantik.v9i4.6936.
References
Afif, A. (2023). Analisis metode klasifikasi data Naïve Bayes dan SVM dalam menentukan keunikan hotel. Jurnal Teknologi Komputer Dan Informasi, 11(1), 38–46.
Agustinus, B. W., & Antonius, C. R. (2018). Jurnal Ilmiah Teknologi Informasi Asia. Jurnal Ilmiah Teknologi Informasi Asia.
Bustami. (2017). Penerapan algoritma Naïve Bayes untuk mengklasifikasi data nasabah asuransi. Jurnal Informatika, 6(2), 97–104.
Dewi, N. N. T. P., Pitanatri, P. D. S., & Adyatma, P. (2025). Analisis sentimen dengan klasifikasi Naïve Bayes pada ulasan Tripadvisor di Luxury Resort untuk strategi peningkatan hunian kamar. Jurnal Sosial Humaniora Dan Pendidikan, 4(1), 788–800.
Dey, L., Chakraborty, S., Biswas, A., Bose, B., & Tiwari, S. (2016). Sentiment analysis of review datasets using Naive Bayes and K-NN classifier. I.J. Information Engineering and Electronic Business, 8, 54–62.
Duta, P. K. A., Pitanatri, P. D. S., & Loanata, C. P. (2025). Big data-based sentiment analysis on TripAdvisor reviews using Naïve Bayes classification. Media Wisata, 23(1), 92–107.
Fajar, M. A., & Hartomo, W. (2020). Analisis sentimen review hotel menggunakan algoritma Naïve Bayes Classifier. Jurnal Ilmiah Teknik Informatika Dan Sistem Informasi, 9(2), 129–137.
Farisi, A. A. (2019). Sentiment analysis on hotel reviews using Multinomial Naïve Bayes classifier. Journal of Physics.
Filieri, R. (2016). What makes an online review helpful? International Journal of Hospitality Management, 53, 113–123. https://doi.org/10.1016/j.ijhm.2015.12.001
Guo, Y., Zhang, C., & Lu, S. (2020). Hotel review sentiment analysis based on machine learning: A comparative study. Journal of Hospitality and Tourism Technology, 11(3), 517–531.
Handayani, H., & Rifky, R. M. (2025). Implementasi Naïve Bayes untuk menganalisis sentimen terhadap perilaku pengguna dan kualitas layanan digital radio. Jurnal Ilmiah Informatika Dan Komputer, 13(1), 18–26.
Hapsari, R. D., & Wiguna, A. S. (2024). Analisis Sentimen Ulasan Pengguna Agoda Menggunakan Algoritma Naïve Bayes Berbasis Particle Swarm Optimization. Jurnal Sistem Informasi Dan Bisnis, 12(1), 15–25.
Hasyim, A. N., & Darmawan, I. (2025). Penerapan algoritma Naive Bayes untuk analisis sentimen pengunjung di Pantai Kejawanan. Jurnal Penelitian Informatika, 13(1), 1–7.
Hendradjaya, B., & Wijaya, Y. (2017). Desain visualisasi data. Jurnal Ilmiah Teknologi Informasi Asia.
Hidayat, R., & Santoso, B. (2024). Analisis Sentimen Destinasi Wisata Prioritas Menggunakan Perbandingan Naïve Bayes dan Random Forest. Jurnal Media Informatika Budidarma, 8(3), 1540–1549.
Hu, N., Zhang, T., Gao, B., & Bose, I. (2019). What do hotel customers complain about? Text analytics using structural topic model. Economic Modelling, 83, 108–120.
Inan, H. E. (2024). Comparison of machine learning algorithms for classification of hotel reviews: Sentiment analysis of TripAdvisor reviews.
Jain, P. K., & Pamula, R. (2020). A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews.
Kusuma, W. A., & Handayani, T. (2023). Analisis Sentimen Berbasis Aspek Menggunakan Naïve Bayes untuk Evaluasi Fasilitas Hotel di Bali. Jurnal Sistem Informasi Dan Bisnis, 11(2), 89–98.
Margaretha, I. T., Umar, E., & Adis, A. (2024). Analisis sentimen review hotel menggunakan algoritma Naïve Bayes pada Ella Hotel Tambolaka. Journal of Informatics and Business, 2(3), 346–356.
Mulyani, S., & Novita, R. (2022). Implementation of the Naïve Bayes classifier algorithm for classification of community sentiment about depression on YouTube. Jurnal Teknik Informatika, 3(5), 1355–1361.
Pratama, M. A., & Sari, K. (2025). Comparison of Sentiment Analysis on Hotel Reviews Using Naïve Bayes and Support Vector Machine on Google Maps Data. Journal of Data Science and Artificial Intelligence, 3(1), 40–52.
Putra, M. R., & Setyanto, A. (2025). Analisis Sentimen Ulasan Pengguna Google Maps Terhadap Kualitas Layanan Hotel Menggunakan Algoritma Naïve Bayes. Jurnal Teknologi Informasi Dan Komunikasi, 14(1), 45–56.
Ramadhan, G., & Lestari, D. P. (2025). Optimasi Akurasi Sentimen Review Hotel Menggunakan SMOTE pada Algoritma Naïve Bayes. Jurnal Ilmu Komputer Dan Informasi, 18(1), 12–22.
Rizki, A. F., Prihartono, W., & Rohman, F. (2025). Analisis sentimen ulasan Google Maps Rumah Sakit Khalishah di Cirebon dengan algoritma Naive Bayes. Jurnal Informatika Dan Teknik Elektro Terapan, 13(2).
Sari, I. P., & Rahmansyah, A. (2024). Perbandingan Pengaruh Stemming Terhadap Akurasi Algoritma Naïve Bayes pada Sentimen Review Perhotelan. Jurnal Informatika Dan Rekayasa Perangkat Lunak, 6(2), 112–120.
Tripathy, A., Agrawal, A., & Rath, S. K. (2016). Classification of sentiment reviews using machine learning techniques. Procedia Computer Science, 57, 821–829.
Utami, S. F., & Pratama, Y. (2025). Implementasi Multinomial Naïve Bayes untuk Klasifikasi Big Data Ulasan Pengunjung pada Platform Traveloka. Jurnal Sains Dan Teknologi, 13(1), 200–212.
Wulandari, S., & Kurniawan, D. (2025). Analisis Sentimen Pengunjung Hotel di Kawasan Wisata Bahari Menggunakan Klasifikasi Naïve Bayes Berbasis Lexicon. Jurnal Teknologi Informasi, 14(2), 110–121.
Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51–65.
Agustinus, B. W., & Antonius, C. R. (2018). Jurnal Ilmiah Teknologi Informasi Asia. Jurnal Ilmiah Teknologi Informasi Asia.
Bustami. (2017). Penerapan algoritma Naïve Bayes untuk mengklasifikasi data nasabah asuransi. Jurnal Informatika, 6(2), 97–104.
Dewi, N. N. T. P., Pitanatri, P. D. S., & Adyatma, P. (2025). Analisis sentimen dengan klasifikasi Naïve Bayes pada ulasan Tripadvisor di Luxury Resort untuk strategi peningkatan hunian kamar. Jurnal Sosial Humaniora Dan Pendidikan, 4(1), 788–800.
Dey, L., Chakraborty, S., Biswas, A., Bose, B., & Tiwari, S. (2016). Sentiment analysis of review datasets using Naive Bayes and K-NN classifier. I.J. Information Engineering and Electronic Business, 8, 54–62.
Duta, P. K. A., Pitanatri, P. D. S., & Loanata, C. P. (2025). Big data-based sentiment analysis on TripAdvisor reviews using Naïve Bayes classification. Media Wisata, 23(1), 92–107.
Fajar, M. A., & Hartomo, W. (2020). Analisis sentimen review hotel menggunakan algoritma Naïve Bayes Classifier. Jurnal Ilmiah Teknik Informatika Dan Sistem Informasi, 9(2), 129–137.
Farisi, A. A. (2019). Sentiment analysis on hotel reviews using Multinomial Naïve Bayes classifier. Journal of Physics.
Filieri, R. (2016). What makes an online review helpful? International Journal of Hospitality Management, 53, 113–123. https://doi.org/10.1016/j.ijhm.2015.12.001
Guo, Y., Zhang, C., & Lu, S. (2020). Hotel review sentiment analysis based on machine learning: A comparative study. Journal of Hospitality and Tourism Technology, 11(3), 517–531.
Handayani, H., & Rifky, R. M. (2025). Implementasi Naïve Bayes untuk menganalisis sentimen terhadap perilaku pengguna dan kualitas layanan digital radio. Jurnal Ilmiah Informatika Dan Komputer, 13(1), 18–26.
Hapsari, R. D., & Wiguna, A. S. (2024). Analisis Sentimen Ulasan Pengguna Agoda Menggunakan Algoritma Naïve Bayes Berbasis Particle Swarm Optimization. Jurnal Sistem Informasi Dan Bisnis, 12(1), 15–25.
Hasyim, A. N., & Darmawan, I. (2025). Penerapan algoritma Naive Bayes untuk analisis sentimen pengunjung di Pantai Kejawanan. Jurnal Penelitian Informatika, 13(1), 1–7.
Hendradjaya, B., & Wijaya, Y. (2017). Desain visualisasi data. Jurnal Ilmiah Teknologi Informasi Asia.
Hidayat, R., & Santoso, B. (2024). Analisis Sentimen Destinasi Wisata Prioritas Menggunakan Perbandingan Naïve Bayes dan Random Forest. Jurnal Media Informatika Budidarma, 8(3), 1540–1549.
Hu, N., Zhang, T., Gao, B., & Bose, I. (2019). What do hotel customers complain about? Text analytics using structural topic model. Economic Modelling, 83, 108–120.
Inan, H. E. (2024). Comparison of machine learning algorithms for classification of hotel reviews: Sentiment analysis of TripAdvisor reviews.
Jain, P. K., & Pamula, R. (2020). A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews.
Kusuma, W. A., & Handayani, T. (2023). Analisis Sentimen Berbasis Aspek Menggunakan Naïve Bayes untuk Evaluasi Fasilitas Hotel di Bali. Jurnal Sistem Informasi Dan Bisnis, 11(2), 89–98.
Margaretha, I. T., Umar, E., & Adis, A. (2024). Analisis sentimen review hotel menggunakan algoritma Naïve Bayes pada Ella Hotel Tambolaka. Journal of Informatics and Business, 2(3), 346–356.
Mulyani, S., & Novita, R. (2022). Implementation of the Naïve Bayes classifier algorithm for classification of community sentiment about depression on YouTube. Jurnal Teknik Informatika, 3(5), 1355–1361.
Pratama, M. A., & Sari, K. (2025). Comparison of Sentiment Analysis on Hotel Reviews Using Naïve Bayes and Support Vector Machine on Google Maps Data. Journal of Data Science and Artificial Intelligence, 3(1), 40–52.
Putra, M. R., & Setyanto, A. (2025). Analisis Sentimen Ulasan Pengguna Google Maps Terhadap Kualitas Layanan Hotel Menggunakan Algoritma Naïve Bayes. Jurnal Teknologi Informasi Dan Komunikasi, 14(1), 45–56.
Ramadhan, G., & Lestari, D. P. (2025). Optimasi Akurasi Sentimen Review Hotel Menggunakan SMOTE pada Algoritma Naïve Bayes. Jurnal Ilmu Komputer Dan Informasi, 18(1), 12–22.
Rizki, A. F., Prihartono, W., & Rohman, F. (2025). Analisis sentimen ulasan Google Maps Rumah Sakit Khalishah di Cirebon dengan algoritma Naive Bayes. Jurnal Informatika Dan Teknik Elektro Terapan, 13(2).
Sari, I. P., & Rahmansyah, A. (2024). Perbandingan Pengaruh Stemming Terhadap Akurasi Algoritma Naïve Bayes pada Sentimen Review Perhotelan. Jurnal Informatika Dan Rekayasa Perangkat Lunak, 6(2), 112–120.
Tripathy, A., Agrawal, A., & Rath, S. K. (2016). Classification of sentiment reviews using machine learning techniques. Procedia Computer Science, 57, 821–829.
Utami, S. F., & Pratama, Y. (2025). Implementasi Multinomial Naïve Bayes untuk Klasifikasi Big Data Ulasan Pengunjung pada Platform Traveloka. Jurnal Sains Dan Teknologi, 13(1), 200–212.
Wulandari, S., & Kurniawan, D. (2025). Analisis Sentimen Pengunjung Hotel di Kawasan Wisata Bahari Menggunakan Klasifikasi Naïve Bayes Berbasis Lexicon. Jurnal Teknologi Informasi, 14(2), 110–121.
Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51–65.
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