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Yerik Afrianto Singgalen


This research investigates the efficacy of sentiment classification models, specifically k-NN and DT algorithms, in the context of destination branding, with a focus on Labuan Bajo tourism. Utilizing the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework, the study systematically navigates through all six stages, including business understanding, data understanding, data preparation, modeling, evaluation, and deployment, to analyze textual reviews and gauge public sentiments towards Labuan Bajo. The findings reveal that both k-NN and DT models exhibit high accuracy and precision, with k-NN achieving an average accuracy of 97.79% and DT 97.52%. While k-NN demonstrates commendable performance in recall, DT exhibits superior discriminative power, particularly when integrated with SMOTE, as evidenced by higher AUC values. The research underscores the importance of leveraging advanced machine learning techniques for sentiment analysis to inform destination branding strategies effectively. These insights provide valuable guidance for stakeholders in enhancing the branding and promotion of Labuan Bajo as a premier tourist destination, ultimately contributing to its sustainable development and global recognition


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Singgalen, Y. A. (2024) “Comparative analysis of k-NN and DT model in sentiment classification of Labuan bajo-wonderful Indonesia content reviews”, Jurnal Mantik, 8(1), pp. 314-325. doi: 10.35335/mantik.v8i1.5076.
Ardhyanto, A., Dewancker, B., Tsai, Y. L., & Heryana, R. E. (2023). Memory recollection and oral history: a study of vernacular architecture transformation of the past. Journal of Asian Architecture and Building Engineering, 22(6), 3435–3454.
Camargo, B. A., & Vázquez-Maguirre, M. (2021). Humanism, dignity and indigenous justice: the mayan train megaproject, Mexico. Journal of Sustainable Tourism, 29(2–3), 371–390.
Caraka, R. E., Wardhana, I. W., Kim, Y., Sakti, A. D., Gio, P. U., Noh, M., & Pardamean, B. (2023). Connectivity, sport events, and tourism development of Mandalika’s special economic zone: A perspective from big data cognitive analytics. Cogent Business and Management, 10(1).
Christanto, H. J., & Singgalen, Y. A. (2022). Sentiment Analysis on Customer Perception towards Products and Services of Restaurant in Labuan Bajo. Journal of Information Systems and Informatics, 4(3), 511–523.
Dewi, U. P., & Arifuddin, M. R. (2021). Communicating with the ‘uncultured’: the study of conventional norms in Indonesian intercultural communication context. Journal of International Communication, 27(2), 300–316.
Dhakal, S. P., & Tjokro, S. P. (2024). Tourism enterprises in Indonesia and the fourth industrial revolution–are they ready? Tourism Recreation Research, 49(2), 439–444.
Dudley, K. D., Duffy, L. N., Terry, W. C., & Norman, W. C. (2022). The historical structuring of the U.S. tourism workforce: a critical review. Journal of Sustainable Tourism, 30(12), 2823–2838.
Hamdan, I. Z. P., & Othman, M. (2022). Predicting Customer Loyalty Using Machine Learning for Hotel Industry. Journal of Soft Computing and Data Mining, 3(2), 31–42.
Hossain, M. S., Begum, H., Rouf, M. A., & Sabuj, M. M. I. (2023). Investigation and prediction of users’ sentiment toward food delivery apps applying machine learning approaches. Journal of Contemporary Marketing Science, 6(2), 109–127.
King, C., Iba, W., & Clifton, J. (2021). Reimagining resilience: COVID-19 and marine tourism in Indonesia. Current Issues in Tourism, 24(19), 2784–2800.
Liu, Y., Yu, J., & Wang, F. (2022). Inbound tourism flows and foreign exchange revenue in the ASEAN from China and the world. Current Issues in Tourism, 25(4), 524–540.
Murti, D. C. W., Ratriyana, I. N., & Asmoro, I. D. (2023). “Dream Now, Travel Tomorrow”: Communicating the Nation Branding of Indonesia through Tourism-Based Social Media. Howard Journal of Communications, 34(3), 293–314.
Noori, B. (2021). Classification of Customer Reviews Using Machine Learning Algorithms. Applied Artificial Intelligence, 35(8), 567–588.
Pattiasina, T., & Rosiyadi, D. (2020). Comparison of Data Mining Classification Algorithm for Predicting the Performance of High School Students. Jurnal Techno Nusa Mandiri, 17(1), 22–30.
Perangin-Angin, R., Tavakoli, R., & Kusumo, C. (2023). Inclusive tourism: the experiences and expectations of Indonesian wheelchair tourists in nature tourism. Tourism Recreation Research, 48(6), 955–968.
Purwandani, I., & Yusuf, M. (2021). Localizing Indonesian Halal tourism policy within local customs, Qanun, and marketing. Journal of Policy Research in Tourism, Leisure and Events, 0(0), 1–19.
Rousyati, Gata, W., Pratmanto, D., & Warchani, N. K. (2022). Analisis Sentimen Financial Technology Peer to Peer Lending Pada Aplikasi Koinworks. Jurnal Teknologi Infor, 9(6), 1167–1176.
Sejati, A. W., Putri, S. N. A. K., Tyas, W. P., Buchori, I., Handayani, W., Basuki, Y., Barbarossa, G., & Husna, I. N. (2023). Predicting urban carrying capacity to support sustainable tourism using GIS. Journal of Policy Research in Tourism, Leisure and Events, 1–24.
Singgalen, Y. A. (2023a). Analisis Sentimen Pengunjung Pulau Komodo dan Pulau Rinca di Website Tripadvisor Berbasis CRISP-DM. Journal of Information System Research (JOSH), 4(2), 614–625.
Singgalen, Y. A. (2023b). Penerapan CRISP-DM dalam Klasifikasi Sentimen dan Analisis Perilaku Pembelian Layanan Akomodasi Hotel Berbasis Algoritma Decision Tree ( DT ). Jurnal Sistem Komputer Dan Informatika (JSON), 5(2), 237–248.
Sujatna, E. T. S., Mulyanah, A., Walangarei, S. F., Sukma, B. P., & Rahmawati, A. (2024). Objective or subjective adjectives? A case study on UNESCO Global Geopark tourism texts. Cogent Arts and Humanities, 11(1).
Sulistyaningsih, T., Jainuri, J., Salahudin, S., Jovita, H. D., & Nurmandi, A. (2022). Can Combined Marketing and Planning-oriented of Community-based Social Marketing (CBSM) Project Successfully Transform the Slum Area to Tourism Village? A Case Study of the Jodipan Colorful Urban Village, Malang, Indonesia. Journal of Nonprofit and Public Sector Marketing, 34(4), 421–450.
Wang, S., & Sun, J. (2023). Embodiment of feminine subjectivity by women of a tourism destination. Journal of Sustainable Tourism, 31(6), 1447–1463.
Westoby, R., Gardiner, S., Carter, R. W., & Scott, N. (2021). Sustainable livelihoods from tourism in the “10 New Balis” in Indonesia. Asia Pacific Journal of Tourism Research, 26(6), 702–716.