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All Journal Jurnal Ilmiah Informatika Komputer Jurnal Teknologi dan Manajemen Informatika Jurnal Informatika dan Teknik Elektro Terapan Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Journal Zetroem Jurnal Ilmiah Wahana Pendidikan Prima Abdika: Jurnal Pengabdian Masyarakat Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Sains dan Teknologi Innovative: Journal Of Social Science Research JOSAR (Journal of Students Academic Research) Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Lestanti, Sri
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Analisis Sentimen Pengunjung Terhadap Fasilitas Dan Layanan Di Pantai Pudak Menggunakan Algoritma Lstm Yusuf, Muhammad Zidan Asrori; Lestanti, Sri; Puspitasari, Wahyu Dwi
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 5.A (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

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Abstract

This study aims to analyze visitor sentiment toward the facilities and services at Pudak Beach using the Long Short-Term Memory (LSTM) algorithm. The research adopts an applied study approach with text mining and deep learning-based sentiment analysis techniques. A total of 628 reviews were collected from Google Maps and processed through text preprocessing stages, including cleaning, case folding, tokenizing, stopword removal, and stemming, resulting in 419 clean data ready for analysis. The reviews were then classified into three sentiment categories: positive, neutral, and negative. The classification results showed that 306 reviews (73.03%) were positive, 69 reviews (16.47%) were neutral, and 44 reviews (10.5%) were negative. Model performance was evaluated using a confusion matrix with accuracy, precision, recall, and F1-score metrics. The test results showed that the LSTM model achieved an accuracy of 96% on the training data and 74% on the test data. The highest precision, recall, and F1-score were obtained in the positive sentiment category, while the neutral and negative categories performed lower due to imbalanced data distribution. This study provides a real picture of visitor perceptions and demonstrates the potential of applying big data and Natural Language Processing (NLP) in strategic decision-making in the tourism sector.
Co-Authors Abadi, La Vanda Ardhiaz Poetra Afan Saputra, Ardi Agi Septian Putra, Rian Ahsan, Muhammad Fahmi Aidia Fitra Sania, Nana Akbar Ariyadi, M Ramadani Awwalin, Beta Nurul Bachtiar, Adam Bahtiyar, Rio Budiana, Hernik Diah Catur Wijaya, Fery Chulkamdi, M Taufik Chulkamdi, M.Taofik Chulkamdi, Mukh Taofik Danang Saputra, Danang David Saputra, Ricko Dimas Fanny Hebrasianto Permadi Dinanti, Nimas Dwi Bima Sakti, Rendra Dwiki Alditama, Adnan Fanny, Dimas Faried Rahmat, Mohammad Febrinita, Filda Gaum Amanda Putri, Ajeng Guritno Bramantyo, Putut Hadi Irawan, Zidhan Haming, Nilal Imam Mufiid Indra Pratama, Lukma Irfan Yahya, Nur Jadmiko, Adhi Karina, Refani Puspa Karisma, Risky Kartika Putri, Rahma Khasanatul Maghfiroh, Abimita Kholila, Ni'ma Kholila, Ni’ma Kirom, Sabitul Kusuma, Mochammad Rizky Kusumawijayanti, Anita Reta M. Taofik Chulkamdi, M. Taofik Mahmudi, Salsa Billa Dewi Marselius Evvandri, Suji Mawaddah, Udkhiati Muzayyanah, Wahidatul Nafis, Mohamad nasiroh, sofi Noval, El Risko Novia Widyanti, Arin Nugraha Putra, Muhammad Nur Budiman, Saiful Nurhayati, Ismiya Nuril, Irviana Pradana, Nur Fitrian Bintang Prayoga, Handy Primasari, Yusniarsi Puspitasari, Wahyu Dwi Rahma Sari, Nuriya Rahmat, Mohammad Faried Rahmat, Mohammad Farried Rian wahyu noviantoro Ridwan Nawawi, Muhamad Romadhona, Rizki Dwi Romadhona, Rizky Dwi Sadza Wardani, Farisa Saiful Nur Budiman Samudra, Bayu Setia Budi, Mochamad Arif Bayu Susanti, Laili Neni Wulansari, Zunita Yuana, Haris Yulianti Yusuf, Muhammad Zidan Asrori Zahirani Hamim, Fayza