Analisis Sentimen Pengunjung Wisata Heritage Kota Semarang Menggunakan Naive Bayes Pada Ulasan Google Maps

Penulis

  • Cherlina Helena P Panjaitan, Candra Supriadi Universitas STEKOM

DOI:

https://doi.org/10.5201/jet.v4i2.412

Kata Kunci:

Analysis, Algorithm, Naïve Bayes, Rapidminer, Tourism, GoogleMaps

Abstrak

Semarang, as the capital of Central Java Province, has several heritage tourist attractions, namely tourism that uses a place or area that has history and an important role in a region as a tourist destination, one of the historical building which is considered a cultural heritage. One of the famous cultural heritage sites in Semarang is Lawang Sewu. Also there are Museum Kota Lama which was just opened by the Semarang city government in 2022, then Sam Poo Kong which is one of the oldest monasteries and cultural tourist attractions in Semarang. An analysis of the sentiment of visitors to heritage tourism through reviews on Google Maps will be carried out to find out whether the tourist attraction is considered positive or negative in the public's view. These three tourist attractions are heritage tourist destinations in Semarang City which are widely reviewed by the public. The aim of this research is to find out public reviews of heritage tourist destinations in Semarang City. Reviews were taken on the Google Maps site, using the Naïve Bayes classifier algorithm. In analyzing sentiment using the RapidMiner application.

Referensi

F. U. Haq, “Penggunaan Google Review Sebagai Penilaian Kepuasan Pengunjung Dalam Pariwisata,” Tornare, vol. 2, no. 1, p. 10, 2020, doi: 10.24198/tornare.v2i1.25826.

T. A. Lorosae and B. D. Prakoso, “Analisis Sentimen Berdasarkan Opini Masyarakat Pada Twitter Menggunakan Naïve Bayes,” Semin. Nas. Teknol. Inf. dan Multimed. 2018 Univ. AMIKOM Yogyakarta, 10 Februari 2018, pp. 25–30, 2018.

S. Bhatia, M. Sharma, and K. K. Bhatia, “Sentiment Analysis and Mining of Opinions,” Stud. Big Data, vol. 30, no. May, pp. 503–523, 2018, doi: 10.1007/978-3-319-60435-0_20.

S. Baccianella, A. Esuli, and F. Sebastiani, “SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining,” Proc. 7th Conf. Lang. Resour. Eval. Lr., pp. 417–422, 2008, [Online]. Available: http://www.lrec-conf.org/proceedings/lrec2010/pdf/769_Paper.pdf

W. Khofifah, D. N. Rahayu, and A. M. Yusuf, “Analisis Sentimen Menggunakan Naive Bayes Untuk Melihat Review Masyarakat Terhadap Tempat Wisata Pantai Di Kabupaten Karawang Pada Ulasan Google Maps,” J. Interkom J. Publ. Ilm. Bid. Teknol. Inf. dan Komun., vol. 16, no. 4, pp. 28–38, 2022, doi: 10.35969/interkom.v16i4.192.

P. Del Vecchio, G. Mele, V. Ndou, and G. Secundo, “Creating value from Social Big Data: Implications for Smart Tourism Destinations,” Inf. Process. Manag., vol. 54, no. 5, pp. 847–860, 2018, doi: https://doi.org/10.1016/j.ipm.2017.10.006.

A. Imron, “Kabupaten Rembang Menggunakan Metode Naive Bayes Classifier,” 2019.

##submission.downloads##

Diterbitkan

2024-07-02

Cara Mengutip

Cherlina Helena P Panjaitan, Candra Supriadi. (2024). Analisis Sentimen Pengunjung Wisata Heritage Kota Semarang Menggunakan Naive Bayes Pada Ulasan Google Maps. Jurnal Elektronika Dan Teknologi Informasi, 4(2), 21-28. https://doi.org/10.5201/jet.v4i2.412

Terbitan

Bagian

TABEL OF CONTENT