Analisis Sentimen Ulasan Pengunjung Terhadap Tempat Wisata Religi Walisongo Menggunakan Metode Supervised Learning

Authors

  • Pandu Rizki Maulidiah Universitas Pembangunan Nasional “Veteran” Jawa Timur
  • Amalia Anjani Arifiyanti Universitas Pembangunan Nasional “Veteran” Jawa Timur
  • Dhian Satria Yudha Kartika Universitas Pembangunan Nasional “Veteran” Jawa Timur

DOI:

https://doi.org/10.55606/juitik.v3i3.617

Keywords:

Classification, Reviews, Sentiment, Supervised Learning

Abstract

The rapid development of information technology has made visitors of Walisongo Tourisms able to provide reviews through the map application that often used by public, Google Maps. With the reviews given by other users, it can help others who want to visit the place and become a source of data material for the local government in optimizing the services, facilities, and infrastructure of Walisongo Tourisms. To help simplify the process of processing reviews, a sentiment analysis process is needed which is assisted by an algorithm that will be in charge of classifying these reviews. This study aims to carry out a sentiment analysis of visitor ratings of the Walisongo Tourisms using supervised learning, such as Decision Trees (CART), K-Nearest Neighbor, Multinomial Naïve Bayes, and Support Vector Machine kernel RBF. The result of this study indicate that the model who has the highest accuracy value is SVM-RBF model classification with accuracy value 87,12% and f1-score value of negative class 89%, 68% for neutral class, and 91% for positive class.

References

Amarudin, A. A. (2020). Walisongo: Halal Tourism dan Perekonomian Masyarakat. Al-Tsaman: Jurnal Ekonomi dan Keuangan Islam, 2(2), 101-113.

Fitri, E., Yuliani, Y., Rosyida, S., & Gata, W. (2020). Analisis Sentimen Terhadap Aplikasi Ruangguru Menggunakan Algoritma Naive Bayes, Random Forest, dan Support Vector Machine. TRANSFORMTIKA, 18(1), 71-80.

Ginantra, N. L., Yanti, C. P., Prasetya, G. D., Sarasvananda, I. B., & Wiguna, I. K. (2022). Analisis Sentimen Ulasan Villa di Ubud Menggunakan Metode Naive Bayes, Decision Tree, dan K-NN. Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI, 11(3), 205-216.

Ilmawan, L. B., & Mude, M. A. (2020). Perbandingan Metode Klasifikasi Support Vector Machine dan Naive Bayes untuk Analisis Sentimen pada Ulasan Tekstual di Google Play Store. ILKOM Jurnal Ilmiah, 12(2), 154-161.

Imron, A. (2019). Analisis Sentimen Terhadap Tempat Wisata di Kabupaten Rembang Menggunakan Metode Naive Bayes Classifier. Yogyakarta: Universitas Islam Indonesia.

Khofifah, W., Rahayu, D. N., & Yusuf, A. M. (2022). Analisis Sentimen Menggunakan Naive Bayes untuk Melihat Review Masyarakat terhadap Tempat Wisata Pantai di Kabupaten Karawang pada Ulasan Google Maps. Jurnal Interkom: Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi, 16(4), 171-180.

Marsono. (2016). Dampak Pariwisata Religi Kawasan Masjid Sunan Kudus Terhadap Ekonomi, Lingkungan, dan Sosial-Budaya. Yogyakarta: Gadjah Mada University Press.

Pahmi, S., Saepudin, S., Maesarah, N., Solehudin, U. I., & Wulandari. (2018). Implementation of CART (Classification and Regression Trees) Algorithm for Determining Factors Affecting Employee Performance. 2018 International Conference on Computing, Engineering, and Design (ICCED), 57-62.

Parasati, W., Bachtiar, F. A., & Setiawan, N. Y. (2020). Analisis Sentimen Berbasis Aspek pada Ulasan Pelanggan Restoran Bakso President Malang dengan Metode Naive Bayes Classifier. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 4(4), 1090-1099.

Somantri, O., & Dairoh. (2019). Analisis Sentimen Penilaian Tempat Tujuan Wisata Kota Tegal Berbasis Text Mining. Jurnal Edukasi dan Penelitian Informatika, 5(2), 191-196.

Surohman, Aji, S., Rousyati, & Wati, F. F. (2020). Analisa Sentimen Terhadap Review Fintech dengan Metode Naive Bayes Classifier dan K-Nearest Neighbor. Evolusi: Jurnal Sains dan Manajemen, 8(1), 93-105.

Wardani, N. S., Prahutama, A., & Kartikasari, P. (2020). Analisis Sentimen Pemindahan Ibu Kota Negara dengan Klasifikasi Naive Bayes untuk Model Bernoulli dan Multinomial. Jurnal Gaussian, 9(3), 237-246.

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Published

2023-09-13

How to Cite

Pandu Rizki Maulidiah, Amalia Anjani Arifiyanti, & Dhian Satria Yudha Kartika. (2023). Analisis Sentimen Ulasan Pengunjung Terhadap Tempat Wisata Religi Walisongo Menggunakan Metode Supervised Learning. Jurnal Ilmiah Teknik Informatika Dan Komunikasi, 3(3), 57–64. https://doi.org/10.55606/juitik.v3i3.617

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