Analisis Sentimen Pengguna Terhadap Restoran Wakatobi Dalam Sistem Rekomendasi Berbasis Ulasan. (User Sentiment Analysis of Wakatobi Restaurants in A Review-Based Recommendation System).

Ahmad, Wa Ode Astri (2024) Analisis Sentimen Pengguna Terhadap Restoran Wakatobi Dalam Sistem Rekomendasi Berbasis Ulasan. (User Sentiment Analysis of Wakatobi Restaurants in A Review-Based Recommendation System). Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.

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Official URL: http://repository.untag-sby.ac.id/

Abstract

The development of information and communication technology (ICT) has had a positive impact on various sectors, including restaurants. Prospective visitors need recommendations to determine their choices regarding the target restaurant, and this information is obtained from the responses of visitors who have previously visited the restaurant. However, the large number of responses makes it difficult for prospective visitors to determine the restaurant. Based on this discussion, the author tries to conduct research on restaurant recommendations with sentiment analysis of reviews/responses. There are several stages in this research process. In the first stage, restaurant data is collected by giving questionnaires to visitors. Then, sentiment analysis of user responses is carried out, and calculations are performed using the naive bayes algorithm to provide recommendations for Wakatobi restaurants with positive, negative, and neutral sentiments in the categories of food aspects, service aspects, and ambiance aspects. In the final step, black box testing is performed on the web-based application using the naive bayes algorithm. Sentiment analysis of each aspect yields an accuracy value of 83% for the food aspect, 88% for the service aspect, and 86% for the ambiance aspect.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Restaurant recommendations, Sentimen Analysis, Wakatobi, Naive Bayes
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknik > Program Studi Teknik Informatika
Depositing User: 1462000193 Wa Ode Astri Ahmad
Date Deposited: 03 Oct 2001 18:36
Last Modified: 03 Oct 2001 18:36
URI: http://repository.untag-sby.ac.id/id/eprint/34935

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