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All Journal Jurnal Inovasi Penelitian
Yuni Trisnawati
Universitas Nasional Jakarta
Agriculture, Biological Sciences & Forestry Humanities Education Social Sciences

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SENTIMENT ANALYSIS ON OAKWOOD RESIDENCE CIKARANG HOTEL REVIEWS ON TRIPADVISOR WEBSITE USING K-NEAREST NEIGHBOR ALGORITHM Rizki Nurul Nugraha; Eviana Tarigan; Yuni Trisnawati
Jurnal Inovasi Penelitian Vol 3 No 6: Nopember 2022
Publisher : Sekolah Tinggi Pariwisata Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47492/jip.v3i6.2105

Abstract

Tripadvisor is used not only as a platform to find and book hotels but also as a comparison material before buying, reviews written for a hotel will greatly influence the decisions of potential guests. One of the hotels that received the majority of Excellent ratings is Oakwood Residence Cikarang. This research has several stages, the first is called the Preprocessing stage. The second stage is to use the TF-IDF method, namely to do word weighting, the last stage is to classify the data using the K-Nearest Neighbor method. The test results related to sentiment analysis at Oakwood Residence Cikarang with the K-NN algorithm get an average accuracy of k = 3 of 90%.
Co-Authors Eviana Tarigan Nugraha, Rizki Nurul