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Vol. 4 No. 1 (2023) • Articles
Open Access

KOMPARASI METODE SVM, K-NN DAN NBC PADA ANALISIS SENTIMEN

I Gede Hendrayana
Universitas Pendidikan Ganesha
Dewa Gede Hendra Divayana
Universitas Pendidikan Ganesha
Made Windu Antara Kesiman
Universitas Pendidikan Ganesha
Published: January 10, 2023 Pages: 191-198
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Abstract

The beauty of Bali raises many comments about how a trip to Indonesia is not complete without going to Bali. In the tourism industry the application of tourist satisfaction and perspective is very important, but most of them still apply surveys. The survey-based approach has weaknesses such as operational costs, the potential for data duplication, and a lack of comprehensiveness. Sentiment analysis of natural tourism objects is performed by classifying positive and negative comments in the Jatiluwih tourist comment dataset. The focus of this panel's sentiment analysis is on comments related to the Natural Tourism Attractiveness Criteria. According to the Directorate General of Forest Protection and Nature Conservation in 2003, the criteria for natural tourism objects are tourist attraction, market potential, accessibility, socio-economic environmental conditions, public services, climate conditions, supporting facilities and infrastructure, and the availability and safety of clean water. This study compares the SVM, K-NN, and NBC methods. This study aims to provide a comprehensive analysis of the performance of each method using the confusion matrix. The results showed that the K-NN method was superior to SVM and NBC in terms of testing accuracy and precision, where accuracy on K-NN gave a value of 93.4%, SVM 93.1%, and NBC 87.9%.

Keywords:
SVM NBC K-NN TF-IDF Sentiment Analysis
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Author Biographies
I Gede Hendrayana Universitas Pendidikan Ganesha

Program Studi S-2 Ilmu Komputer, Pascasarjana, Universitas Pendidikan Ganesha, Kabupaten Buleleng, Provinsi Bali, Indonesia

Dewa Gede Hendra Divayana Universitas Pendidikan Ganesha

Program Studi S-2 Ilmu Komputer, Pascasarjana, Universitas Pendidikan Ganesha, Kabupaten Buleleng, Provinsi Bali, Indonesia

Made Windu Antara Kesiman Universitas Pendidikan Ganesha

Program Studi S-2 Ilmu Komputer, Pascasarjana, Universitas Pendidikan Ganesha, Kabupaten Buleleng, Provinsi Bali, Indonesia

How to Cite
Hendrayana, I. G., Divayana, D. G. H. ., & Kesiman, M. W. A. (2023). KOMPARASI METODE SVM, K-NN DAN NBC PADA ANALISIS SENTIMEN. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 4(1), 191-198. https://doi.org/10.35870/jimik.v4i1.157
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