Analisis Sentimen dan Pemodelan Topik dalam Optimalisasi Pemasaran Destinasi Pariwisata Prioritas di Indonesia

Keywords: Sentiment Analysis, Topic Modeling, Tourism Marketing, Indonesia

Abstract

This article analyzes a theoretical perspective on sentiment analysis approaches and topic modeling to optimize tourism destination marketing using the Systematic Literature Review (SLR) method. The analysis consists of planning, implementation, and reporting stages. This Review Literature focuses on tourism destinations in Indonesia, in particular the ten priority destinations. The results of this study are that the sentiment analysis approach and topic modeling can optimize the marketing strategy of ten priority destinations in Indonesia. Nevertheless, the sentiment analysis results need to be explicitly described based on tourist attraction, tourism supporting accommodation, tourism support accessibility, and tourist activities. Furthermore, modeling topics about tourism destinations need to be classified in-depth based on tourism support, accessibility of tourism support, tourist activities, tourist attractions, and the context of vulnerability.

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References

[1] S. I. Sutopo, “Analisis Pengaruh Produk Wisata, Persepsi Harga dan Promosi terhadap Keputusan Wisatawan dalam Mengunjungi Objek Wisata ( Studi pada Objek Wisata Puri Maerokoco Kota Semarang ),” Diponegoro J. Manag., vol. 5, no. 4, pp. 1–10, 2016, [Online]. Available: http://ejournal-s1.undip.ac.id/index.php/management.
[2] Z. Z. Abdurrahim, “Wisatawan Digital : Peran Media Sosial dalam Membentuk Minat Berwisata,” J. Ilm. Manaj., vol. 2, no. 2, pp. 102–110, 2018.
[3] N. I. Setiawan, N. Safriadi, and H. Muhardi, “Implementasi Virtual Tour pada Cagar Budaya Istana Kadriah Menggunakan Voice Guidance,” J. Sist. dan Teknol. Inf., vol. 7, no. 2, pp. 81–86, 2019, doi: 10.26418/justin.v7i2.29106.
[4] N. L. P. Merawati, A. Z. Amrullah, and Ismarmiaty, “Analisis Sentimen dan Pemodelan Topik Pariwisata Lombok Menggunakan Algoritma Naive Bayes dan Latent Dirichlet Allocation,” Rekayasa Sist. dan Teknol. Inf., vol. 1, no. 10, pp. 123–131, 2021.
[5] M. A. Fauzi and S. Adinugroho, “Analisis Sentimen Pariwisata di Kota Malang Menggunakan Metode Naive Bayes dan Seleksi Fitur Query Expansion Ranking Image Processing View project Smart Wheelchair View project,” Researchgate.Net, vol. 2, no. 8, pp. 2766–2770, 2018, [Online]. Available: https://www.researchgate.net/publication/322959527.
[6] Y. T. Pratama, F. A. Bachtiar, and N. Y. Setiawan, “Analisis Sentimen Opini Pelanggan Terhadap Aspek Pariwisata Pantai Malang Selatan Menggunakan TF-IDF dan Support Vector Machine,” J. Pengemb. Teknol. Inf. dan Ilmu Komput. Univ. Brawijaya, vol. 2, no. 12, pp. 6244–6252, 2018.
[7] Y. A. Singgalen, “Pemilihan Metode dan Algoritma dalam Analisis Sentimen di Media Sosial : Sistematic Literature Review,” J. Inf. Syst. Informatics, vol. 3, no. 2, pp. 278–302, 2021.
[8] Johannes and A. C. Erta, “Pengaruh Orientasi Pasar Terhadap Kinerja Pemasaran Wisata Alam,” J. Dig. Mark., vol. 3, no. 2, pp. 86–92, 2018.
[9] M. Cendana and S. D. H. Permana, “Pra-Pemrosesan Teks Pada Grup Whatsapp Untuk Pemodelan Topik,” Junal Mantik Penusa, vol. 3, no. 3, pp. 107–116, 2019.
[10] V. Zuraida, D. Purwitasari, and C. Fatichah, “Cross-Domain Topic Learning Berbasis Frase untuk Pemodelan Topik pada Rekomendasi Kolaborasi Penelitian,” INTEGER J. Inf. Technol., vol. 3, no. 2, pp. 11–20, 2018, doi: 10.31284/j.integer.2018.v3i2.255.
[11] I. M. K. B. Putra and R. P. Kusumawardani, “Analisis Topik Informasi Publik Media Sosial Di Surabaya Menggunakan Pemodelan Latent Dirichlet Allocation (LDA),” J. Tek. ITS, vol. 6, no. 2, pp. 311–316, 2017.
[12] Z. A. Fatimah and A. Naryoso, “Hubungan antara Intensitas Mengakses Informasi Pariwisata Akun Instagram @indtravel dan Intensitas Komunikasi Word of Mouth dengna Minat Wisatawan Mancanegara Berkunjung ke Indonesia,” Interak. Online, vol. 7, no. 1, pp. 1–12, 2019.
[13] M. Gustiani, “Peran Electronic Word of Mouth Dalam Membangun Citra Destinasi Guna Mempengaruhi Keputusan Berkunjung Wisatawan Ke Suatu Destinasi Pariwisata,” Competence J. Manag. Stud., vol. 12, no. 2, pp. 266–279, 2018, doi: 10.21107/kompetensi.v12i2.4962.
[14] R. Hasanah and W. Yustanti, “Analisis Sentimen dan Pemeringkatan Popularitas Tempat Wisata dengan Naïve Bayes dan AHP,” J. Emerg. Inf. Syst. Bus. Intell., vol. 2, no. 1, pp. 21–27, 2021, [Online]. Available: https://ejournal.unesa.ac.id/index.php/JEISBI/article/view/38259.
[15] R. Ferryawan, Kusrini, and F. W. Wibowo, “Analisis Sentimen Wisata Jawa Tengah Menggunakan Naϊve Bayes,” J. Inf. Politek. Indonusa Surakarta, vol. 5, no. 3, pp. 55–60, 2019.
[16] R. Annisa, I. Surjandari, and Zulkarnain, “Opinion mining on mandalika hotel reviews using latent dirichlet allocation,” Procedia Comput. Sci., vol. 161, pp. 739–746, 2019, doi: 10.1016/j.procs.2019.11.178.
[17] O. Lock and C. Pettit, “Social media as passive geo-participation in transportation planning–how effective are topic modeling & sentiment analysis in comparison with citizen surveys ?,” Geo-Spatial Inf. Sci., vol. 23, no. 4, pp. 275–292, 2020, doi: 10.1080/10095020.2020.1815596.
[18] K. M. Sukiakhy and C. V. R. Jummi, “Klasifikasi Dan Visualisasi Pariwisata Aceh Dengan Menggunakan Data Pada Twitter,” JUSIM (Jurnal Sist. Inf. Musirawas), vol. 5, no. 2, pp. 148–157, 2020, doi: 10.32767/jusim.v5i02.1062.
[19] B. Kitchenham, O. Pearl Brereton, D. Budgen, M. Turner, J. Bailey, and S. Linkman, “Systematic literature reviews in software engineering - A systematic literature review,” Inf. Softw. Technol., vol. 51, no. 1, pp. 7–15, 2009, doi: 10.1016/j.infsof.2008.09.009.
[20] D. A. Sihombing and O. I. B. Hariyanto, “Digital Pemasaran Pariwisata dan Pendekatan Soft Skill di Destinasi Wisata,” Altasia J. Pariwisata Indones., vol. 1, no. 2, pp. 47–52, 2019, doi: 10.37253/altasia.v1i2.464.
[21] C. I. Sianipar and Liyushiana, “Pemasaran Pariwisata Digital Oleh Pemerintah Kota Sabang,” J. Darma Agung, vol. 27, no. 3, pp. 1135–1143, 2019, doi: 10.46930/ojsuda.v27i3.374.
[22] Y. Chen, Y. Liu, C. Wang, and K. Chen, “Is hosting tourism events a sustainable way of destination branding: Evidences from Sanya, China,” Cogent Soc. Sci., vol. 5, no. 1, pp. 2–16, 2019, doi: 10.1080/23311886.2019.1692456.
[23] S. Bruno, C. Yang, W. Tian, Z. Xie, and Y. Shao, “Exploring the characteristics of tourism industry by analyzing consumer review contents from social media: a case study of Bamako, Mali,” Geo-Spatial Inf. Sci., vol. 22, no. 3, pp. 214–222, 2019, doi: 10.1080/10095020.2019.1649848.
[24] M. Mariani and M. Borghi, “Environmental discourse in hotel online reviews: a big data analysis,” J. Sustain. Tour., vol. 29, no. 5, pp. 829–848, 2020, doi: 10.1080/09669582.2020.1858303.
[25] Y. Lu and Q. Zheng, “Twitter public sentiment dynamics on cruise tourism during the COVID-19 pandemic,” Curr. Issues Tour., vol. 24, no. 7, pp. 892–898, 2021, doi: 10.1080/13683500.2020.1843607.
[26] H. Chen, X. Huang, and Z. Li, “A content analysis of Chinese news coverage on COVID-19 and tourism,” Curr. Issues Tour., vol. 0, no. 0, pp. 1–8, 2020, doi: 10.1080/13683500.2020.1763269.
[27] U. Salamah and M. R. Yananda, “The Many Faces of Wonderful Indonesia: Tourism Brand in 16 Countries Online News Sites,” J. Komun. Indones., vol. 9, no. 1, pp. 34–39, 2020, doi: 10.7454/jki.v9i1.11586.
[28] J. E. Ferguson, H. Dahles, and T. S. Prabawa, “The Indonesian tourism industry under crisis: a Bourdieuan perspective on social boundaries among small-scale business owners,” Asia Pacific Bus. Rev., vol. 23, no. 2, pp. 171–191, 2017, doi: 10.1080/13602381.2017.1281640.
[29] B. Verheijen and I. N. Darma Putra, “Balinese cultural identity and global tourism: the Garuda Wisnu Kencana Cultural Park,” Asian Ethn., vol. 21, no. 3, pp. 425–442, 2020, doi: 10.1080/14631369.2019.1641691.
[30] K. M. Adams, J. Choe, M. Mostafanezhad, and G. T. Phi, “(Post-) pandemic tourism resiliency: Southeast Asian lives and livelihoods in limbo,” Tour. Geogr., vol. 1, no. 1, pp. 1–22, 2021, doi: 10.1080/14616688.2021.1916584.
[31] C. Y. Jeon and H. W. Yang, “The structural changes of a local tourism network: comparison of before and after COVID-19,” Curr. Issues Tour., vol. 0, no. 0, pp. 1–15, 2021, doi: 10.1080/13683500.2021.1874890.
[32] C. King, W. Iba, and J. Clifton, “Reimagining resilience: COVID-19 and marine tourism in Indonesia,” Curr. Issues Tour., vol. 0, no. 0, pp. 1–17, 2021, doi: 10.1080/13683500.2021.1873920.
[33] Badan Pusat Statistik, “STATISTIK Perkembangan Pariwisata dan Transportasi Nasional November 2020,” 2021.
[34] S. Olivia, J. Gibson, and R. Nasrudin, “Indonesia in the Time of Covid-19,” Bull. Indones. Econ. Stud., vol. 56, no. 2, pp. 143–174, 2020, doi: 10.1080/00074918.2020.1798581.
[35] R. Sparrow, T. Dartanto, and R. Hartwig, “Indonesia Under the New Normal: Challenges and the Way Ahead,” Bull. Indones. Econ. Stud., vol. 56, no. 3, pp. 269–299, 2020, doi: 10.1080/00074918.2020.1854079.
[36] M. Park and T. Jones, “Going Virtual: The Impact of COVID-19 on Internships in Tourism, Events, and Hospitality Education,” J. Hosp. Tour. Educ., vol. 33, no. 3, pp. 176–193, 2021, doi: 10.1080/10963758.2021.1907198.
[37] Y. H. Kristian, K. R. Prilianti, and P. L. Tirma Irawan, “Implementasi Text Mining Untuk Analisis Preferensi Masyarakat Terhadap Tempat Wisata Di Indonesia,” J. Simantec, vol. 7, no. 2, pp. 72–81, 2019, doi: 10.21107/simantec.v7i2.6710.
[38] E. Widodo, G. D. Nursyafitri, O. N. Putri, and Y. Nurmalasari, “Sentiment Analysis of Visitors in Borobudur Temple With Support Vector Machine Based on TripAdvisor Review,” in The 2nd International Seminar on Science and Technology (ISSTEC), 2019, vol. 474, no. 2019, pp. 53–56, doi: 10.2991/assehr.k.201010.009.
[39] V. Situmorang, T. Elyani, R. Tambunan, and Y. Gulto, “Applying Opinion Mining Technique on Tourism Study Case: Lake Toba,” in Journal of Physics: Conference Series, 2019, vol. 1175, no. 1, pp. 1–8, doi: 10.1088/1742-6596/1175/1/012091.
[40] E. Widodo, A. I. Maksur, K. D. Larasati, and N. P. Saraswati, “Analisis Sentimen Tripadvisor Terhadap Pariwisata Gunung Bromo dan Gunung Semeru,” in Seminar Nasional Multimedia & Artificial Intelligence 2019, 2019, no. November, pp. 43–48, [Online]. Available: http://papersmai.mercubuana-yogya.ac.id/index.php/smai/article/download/33/29.
[41] J. M. Wibowo, S. Muljaningsih, and D. Satria, “Tripadvisor Sentiment Analysis: The Policy Of Ecotourism Competitiveness From Bromo, Tengger, And Semeru National Park,” Int. J. Business, Econ. Law, vol. 20, no. 5, pp. 18–24, 2019, [Online]. Available: https://www.ijbel.com/wp-content/uploads/2019/12/IJBEL20_208.pdf.
[42] A. Vargas-Sánchez and M. Moral-Moral, “Halal tourism: literature review and experts’ view,” J. Islam. Mark., vol. 11, no. 3, pp. 549–569, 2020, doi: 10.1108/JIMA-04-2017-0039.
[43] A. M. Adel, X. Dai, R. S. Roshdy, and C. Yan, “Muslims’ travel decision-making to non-Islamic destinations: perspectives from information-seeking models and theory of planned behavior,” J. Islam. Mark., vol. 12, no. 4, pp. 918–940, 2020, doi: 10.1108/JIMA-04-2020-0095.
[44] B. Rhama, “The halal tourism – alternative or mass tourism? Indications of traditional mass tourism on crescent rating guidelines on halal tourism,” J. Islam. Mark., vol. 11, no. 3, pp. 1–24, 2021, doi: 10.1108/JIMA-07-2020-0199.
[45] U. Wahyudin, A. R. Randa, and K. El Karimah, “The misunderstanding of halal tourism in Bandung city-Indonesia : Muslim tourist arrivals are increasing in the obscurity of concepts,” J. Islam. Mark., vol. 11, no. 3, pp. 1–19, 2021, doi: 10.1108/JIMA-07-2020-0204.
[46] A. Preko, I. Mohammed, and A. Allaberganov, “Antecedents of brand equity on halal tourism destination,” J. Islam. Mark., vol. 11, no. 3, pp. 1–18, 2021, doi: 10.1108/JIMA-09-2020-0283.
[47] T. Sulistyaningsih, J. Jainuri, S. Salahudin, H. D. Jovita, and A. Nurmandi, “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,” J. Nonprofit Public Sect. Mark., vol. 1, no. 1, pp. 1–30, 2021, doi: 10.1080/10495142.2021.1874590.
[48] P. I. Sari and Y. D. Lestari, “Determinants of Tourist Satisfaction and Dissatisfaction on Tourism Village,” J. Pendidik. Ekon. Dan Bisnis, vol. 9, no. 1, pp. 09–24, 2021, doi: 10.21009/009.1.2.
[49] I. N. Darma Putra, B. Verheijen, I. W. Ardika, and P. S. Yanthy, “Affinity tourism and exotic tourism in Bali. The Chinese and Indian tourist gaze in the Garuda Wisnu Kencana Park,” J. Tour. Cult. Chang., vol. 1, no. 1, pp. 1–17, 2020, doi: 10.1080/14766825.2020.1797063.
[50] E. Atmodjo, M. Lamers, and A. P. J. Mol, “Governing Dynamics in Marine Conservation Tourism in Raja Ampat, Indonesia,” Tour. Plan. Dev., vol. 17, no. 6, pp. 655–673, 2020, doi: 10.1080/21568316.2019.1686652.
Published
2021-10-21
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How to Cite
Singgalen, Y. (2021). Analisis Sentimen dan Pemodelan Topik dalam Optimalisasi Pemasaran Destinasi Pariwisata Prioritas di Indonesia. Journal of Information Systems and Informatics, 3(3), 459-470. https://doi.org/10.33557/journalisi.v3i3.171