Identifikasi Daya Tarik Wisata Benteng Rotterdam Berdasarkan Ulasan Wisatawan Menggunakan Topic Modeling
DOI:
https://doi.org/10.24252/shift.v6i2.298Keywords:
LDA, Topic Modeling, Tourism, Tourist ReviewsAbstract
The development of online review platforms provides opportunities to explore information regarding tourists’ perceptions of tourism destinations. This study aims to identify the main attractions of Benteng Rotterdam based on tourist reviews using the Latent Dirichlet Allocation (LDA) topic modeling method. The research data were obtained from TripAdvisor through a web scraping technique using Selenium and BeautifulSoup libraries. Data scraping was performed in December 2023, resulting in the collection of 679 reviews written in Indonesian. The collected reviews were then subjected to a series of preprocessing steps, namely cleaning, tokenization, stemming, and stopword removal. Topic modeling was conducted using the Gensim library in the Python programming language, while the optimal number of topics was determined using the coherence score. Visualization using word clouds and intertopic distance maps was applied to assist in interpreting the relationships among topics. The results show that the LDA model successfully generated six topics which, based on the interpretation of dominant keywords and visualization results, can be identified as the main tourist attractions of Benteng Rotterdam, including the historical value of the building, building atmosphere and condition, strategic location, social and cultural experiences, and affordable entrance fees. The findings of this study can serve as input for tourism managers in developing promotional strategies and improving tourism services based on visitor reviews.
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References
S. Ihsannudin and L. Dewi, “Efektivitas Media Sosial Youtube Sebagai Sumber Informasi Wisata Kuliner Jakarta Bagi Wisatawan,” Media Bina Ilm., vol. 17, no. 6, pp. 1133–1140, 2023.
K. K. Kurniasari, E. M. Widanti, and A. N. Hidayah, “Literatur review: Pengaruh media sosial terhadap industri pariwisata dari perspektif destinasi dan wisatawan,” Indones. J. Tour. Bus. Entrep., vol. 1, no. 1, pp. 71–82, 2024.
M. Rahman and M. N. Mia, “The influence of electronic word‐of‐mouth (eWOM) on promoting sustainable tourism in Bangladesh,” Hum. Behav. Emerg. Technol., vol. 2025, no. 1, p. 6650724, 2025.
J. P. Atmaja, “Peran Teknologi Informasi Dalam Peningkatan Daya Saing Destinasi Pariwisata Di Indonesia,” J. Destin. Pariwisata, vol. 11, no. 1, p. 151, 2023.
S. D. Hawa and A. Naimah, “Pengaruh Destination Image, E-wom, Kualitas Pelayanan, Digital Marketing, dan Fasilitas Terhadap Keputusan Berkunjung Wisata Alam Sirah Pemali,” J. Bisnis, Manajemen, dan Akunt., vol. 12, no. 2, pp. 60–91, 2025.
S. H. Dethan, B. D. Widiyasti, P. A. Wardi, and R. Ramdani, “Peran Digital Marketing Dan E-Wom (Electronic Word Of Mouth) Terhadap Keputusan Berkunjung Objek Wisata Kabupaten Lombok Barat,” Econ. J. Ekon. Dan Bisnis, vol. 2, no. 1, pp. 80–88, 2025.
G. Ilieva and D. Boteva, “Effects of electronic word-of-mouth (eWOM) drivers on customers’ behaviour.,” East. J. Eur. Stud., vol. 14, 2023.
N. Cahyono, Fundamental Topic Modelling: Memahami Tren & Topik dalam Text Mining. MEGA PRESS NUSANTARA, 2024.
M. Karabacak and K. Margetis, “Natural language processing reveals research trends and topics in The Spine Journal over two decades: a topic modeling study,” Spine J., vol. 24, no. 3, pp. 397–405, 2024.
L. K. Bayu, “TA: Analisis Topic Modelling Ibukota Nusantara pada Platform X Menggunakan Latent Dirichlet Allocation,” 2025, Universitas Dinamika.
K. Watanabe and A. Baturo, “Seeded sequential LDA: A semi-supervised algorithm for topic-specific analysis of sentences,” Soc. Sci. Comput. Rev., vol. 42, no. 1, pp. 224–248, 2024.
A. Abdelrazek, Y. Eid, E. Gawish, W. Medhat, and A. Hassan, “Topic modeling algorithms and applications: A survey,” Inf. Syst., vol. 112, p. 102131, 2023.
M. Grootendorst, “BERTopic: Neural topic modeling with a class-based TF-IDF procedure,” arXiv Prepr. arXiv2203.05794, Mar. 2022, [Online]. Available: http://arxiv.org/abs/2203.05794
I. Z. Mustaqim and R. R. Suryono, “A Systematic Literature Review of Topic Modeling Techniques in User Reviews.,” J. Inf. Syst. Eng. Bus. Intell., vol. 11, no. 2, 2025.
G. N. Buhari, D. Pramitasari, and A. Saifullah, “Persepsi Wisatawan terhadap Kualitas Produk Wisata: Fort Rotterdam, Di Makassar,” Sinektika J. Arsit., vol. 19, no. 1, pp. 96–106, 2022.
M. A. Rajab, “Daya tarik wisata terhadap kepuasan wisatawan objek wisata Benteng Rotterdam Kota Makassar,” Pringgitan, vol. 1, no. 2, 2020.
A. Majid and S. Rabiah, “Communication Governance Strategy for the Cultural Conservation Preservation Center of South Sulawesi Province in Increasing Tourist Visits Fort Rotterdam Makassar,” RESPON J. Ilm. Mhs. ILMU Komun., vol. 3, no. 2, pp. 63–79, 2022.
R. C. Sanco’o and M. Bisyri, “Strategi Komunikasi BPCB Sulsel Dalam Menarik Minat Kunjungan Wisatawan Mancanegara Terhadap Benteng Fort Rotterdam,” J. Komun., vol. 15, no. 1, pp. 26–35, 2022.
R. Rehurek, “Gensim,” 2019, Python Software Foundation: 4.4.0. [Online]. Available: https://pypi.org/project/gensim/4.4.0/
Python Software Foundation, “re,” 2001, The Python Software Foundation: 3.14. [Online]. Available: https://docs.python.org/3/library/re.html
N. Project, “NLTK,” 2025, NLTK Project: 3.9.2. [Online]. Available: https://www.nltk.org/
A. Librian, “Sastrawi,” 2015, v1.2.0. [Online]. Available: https://github.com/sastrawi/sastrawi
S. J. Weston, I. Shryock, R. Light, and P. A. Fisher, “Selecting the number and labels of topics in topic modeling: A tutorial,” Adv. Methods Pract. Psychol. Sci., vol. 6, no. 2, p. 25152459231160104, 2023.
L. Chen, J. Yan, J. Chen, Y. Sheng, Z. Xu, and M. Mahmud, “An event based topic learning pipeline for neuroimaging literature mining,” Brain Informatics, vol. 7, no. 1, p. 18, 2020.
J. Lee, J.-H. Kang, S. Jun, H. Lim, D. Jang, and S. Park, “Ensemble modeling for sustainable technology transfer,” Sustainability, vol. 10, no. 7, p. 2278, 2018.
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