ANALISIS SENTIMEN OPINI PUBLIK BAHASA INDONESIA TERHADAP WISATA TMII MENGGUNAKAN NAÏVE BAYES DAN PSO

  • Ratih Yulia Hayuningtyas Teknik Informatika STMIK Nusa Mandiri
  • Retno Sari Teknik Informatika STMIK Nusa Mandiri
Keywords: Naïve Bayes method, PSO methods, Sentiment analysis, Public opinion

Abstract

Sentiment analysis is a text analysis to identify an opinion. Public opinion or reviews are important for visitors who will travel to tourist because of the reviews will produce information about the destination. One of the tourist attractions in Indonesia that Taman Mini Indonesia Indah one of the tourist attractions that has extraordinary. Reviews about Taman Mini Indonesia Indah make it difficult for visitors to draw conclusions about information about Taman Mini Indonesia Indah. Therefore a classification method in study with Naïve Bayes and PSO methods. In study using data as many 50 positive reviews and 50 negative reviews where the results of accuracy obtained using the Naïve Bayes method of 70% while the accuracy of using Naïve Bayes and PSO is 94,02%.

References

Basari, A. S. hasan, Hussin, B., Ananta, I. gede P., & Zeniarja, J. (2013). Opinion Mining of Movie Review Using Hybrid Method of Support Vector Machine and Particle Swarm Optimization. In Procedia Engineering (pp. 453–462). Elsevier B.V. http://doi.org/10.1016/j.proeng.2013.02.059

Fanissa, S., Fauzi, M. A., & Adinugroho, S. (2018). Analisis Sentimen Pariwisata di Kota Malang Menggunakan Metode Naive Bayes dan Seleksi Fitur Query Expansion Ranking. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 2(8), 2766–2770.

Gorunescu, F. (2011). Data Mining: Concepts, Models, and Techniques. Verlag Berlin Heidelberg: Springer.

Hapsari, Y., Hidayattullah, M. F., Dairoh, & Khambali, M. (2018). Opinion Mining Terhadap Toko Online Di Media Sosial Menggunakan Algoritma Naïve Bayes (Studi Kasus: Akun Facebook Dugal Delivry). Jurnal Pengembangan IT (JPIT), 03(02), 233–236.

Hayuningtyas, R. Y., & Sari, R. (2019). Analisis Sentimen Opini Publik Bahasa Indonesia Terhadap Wisata TMII Menggunakan Naive Bayes dan PSO. Laporan Akhir Penelitian Mandiri STMIK Nusa Mandiri Jakarta.

Hidayatullah, A. F., & SN, A. (2014). Analisis Sentimen Dan Klasifikasi Kategori Terhadap Tokoh Publik Pada Twitter. In Seminar Nasional Informatika (pp. 115–122). Retrieved from http://www.situs.com

Karthika, S., & Sairam, N. (2015). A Naïve Bayesian Classifier for Educational Qualification. Indian Journal of Science and Technology, 8(16), 1–5. http://doi.org/10.17485/ijst/2015/v8i16/62055

Ling, J., Kencana, I. P. E. N., & Oka, T. B. (2014). Analisis Sentimen Menggunakan Metode Naive Bayes Classifier Dengan Seleksi Fitur Chi Square. E-Jurnal Matematika, 3(3), 92–99.

Muthia, D. A. (2017). Analisis Sentimen Pada Review Restoran Dengan Teks Bahasa Indonesia Mengunakan Algoritma Naive Bayes. Jurnalilmu Pengetahuan Dan Teknologi Komputer, 2(2), 39–45. http://doi.org/10.1515/HUMOR.2006.009

Pakpahan, D., & Widyastuti, H. (2014). Aplikasi Opinion Mining dengan Algoritma Naïve Bayes untuk Menilai Berita Online. Jurnal Integrasi, 6(1), 1–10.

Routray, P., Swain, C. K., & Mishra, S. P. (2013). A Survey on Sentiment Analysis. International Journal of Computer Applications, 76(10), 1–8.

Wilianto, L., Pudjiantoro, T. H., & Umbara, F. R. (2017). Analisis Sentimen Terhadap Tempat Wisata Dari Komentar Pengunjung Dengan Menggunakan Metode Naïve Bayes Classifier Studi Kasus Jawa Barat. Prosiding SNATIF, 439–448.
Published
2019-03-12
How to Cite
Hayuningtyas, R., & Sari, R. (2019). ANALISIS SENTIMEN OPINI PUBLIK BAHASA INDONESIA TERHADAP WISATA TMII MENGGUNAKAN NAÏVE BAYES DAN PSO. Jurnal Techno Nusa Mandiri, 16(1), 37-42. https://doi.org/10.33480/techno.v16i1.115