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All Journal Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA )
Obenu, Juanri Priskila
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Analisis Sentimen Ulasan Wisatawan Terhadap Destinasi Gili di KLU Menggunakan K-Means Clustering Obenu, Juanri Priskila; Suta Wijaya, I Gede Pasek; Bimantoro, Fitri
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 7 No 2 (2025): September 2025
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v7i2.475

Abstract

The rise of social media, particularly Twitter, has enabled sentiment analysis in tourism. This study examines tourist sentiments toward Gili, Lombok, using K-Means Clustering on 6,030 tweets, refined to 3,156 after cleaning. The clustering yielded Silhouette Coefficient scores of 0.4382 (positive-English), 0.4173 (positive-Indonesian), 0.4258 (negative-English), and 0.4535 (negative-Indonesian), indicating well-structured clusters. Tourists expressed positive views on natural beauty and activities but raised concerns about water supply issues. This study demonstrates K-Means Clustering’s effectiveness in revealing sentiment trends, offering valuable insights for local governments and tourism stakeholders to enhance visitor experiences and address challenges.
Co-Authors Fitri Bimantoro I Gede Pasek Suta Wijaya