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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Transformatika Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat JIEET (Journal of Information Engineering and Educational Technology) Jurnal Sains dan Informatika Jurnal Informatika Universitas Pamulang Angkasa: Jurnal Ilmiah Bidang Teknologi KACANEGARA Jurnal Pengabdian pada Masyarakat JISKa (Jurnal Informatika Sunan Kalijaga) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Innovation in Community Empowerment (JICE) Emerging Information Science and Technology Media Riset Bisnis & Manajemen Gotong Royong : Jurnal Pengabdian, Pemberdayaan Dan Penyuluhan Kepada Masyarakat (J-P3KM) Jurnal INFOTEL Indonesian Journal on Data Science Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen Teknomatika: Jurnal Informatika dan Komputer Jurnal Komtika (Komputasi dan Informatika)
Ulfi Saidata Aesyi
Universitas Jenderal Achmad Yani Yogyakarta
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Model Rekomendasi Destinasi Wisata Kreatif di Indonesia Berdasarkan Data Cuaca dan Ulasan Wisatawan Kharisma; Irmma Dwijayanti; Ulfi Saidata Aesyi; Alfirna Rizqi Lahitani
JURNAL FASILKOM Vol. 15 No. 3 (2025): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

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Abstract

Indonesia holds vast potential for creative tourism through its rich cultural heritage, natural beauty, and local creativity. However, travelers still face challenges in planning optimal trips due to the lack of context-aware and real-time recommendation systems. In practice, tourists often rely on Google Maps reviews, which are unorganized thematically, and there is limited integration with weather conditions—an important factor that significantly impacts travel experiences, particularly for nature-based destinations. This study aims to develop a recommendation model for creative tourism destinations in Indonesia by integrating two key aspects: sentiment analysis of Google Maps reviews and real-time weather data. The research utilizes tourist reviews from Google Maps alongside up-to-date weather information from destinations across Indonesia. The reviews are analyzed using the Support Vector Machine (SVM) algorithm to classify sentiments as positive or negative. These sentiment results are then combined with real-time weather data to build a Content-Based Filtering (CBF) recommendation system capable of providing more relevant and adaptive suggestions. The study successfully produced a recommendation system model with a testing accuracy of 90%.
Co-Authors Ahmad Hanafi Aksan, Azzikra Ramadhanti Aldo Syahputra Alfirna Rizqi Lahitani Anggraini, Deviana Dyah anggraini, devianadyah Ardilla Mega Agustin Arianti, Dennis Fitri Salsabilla Arif Himawan Arif Himawan, Arif Arumsari, Dewi Asnawi, Choerun Bagas Dwi Santosa Bagas Dwi Santosa Berlina, Laila Indah Cahayana, Nika Nur Dedy Hariyadi Faisal Dwi Nurwenda Herdiesel Santoso Irmma Dwijayanti Khabani, Muhamad Zul Kharisma Kharisma Kharisma, Kharisma Kusumaningtyas, Kartikadyota Kusumaningtyas, Netania Indi Lahitani, Alfirna Rizqi Lintang Sumirat Maria Gratiana Dian Jatiningsih Maulana Ridwan, Muhamad Fikry Muhammad Rifqi Maarif, Muhammad Rifqi Netania Indi Kusumaningtyas Noviana Wulandari Nurul Fatimah Nurul Fatimah Puji Winar Cahyo Puji Winar Cahyo Putri Pusvitasari Retantyo Wardoyo Risky Firmansyach Riyanto Tri Kurniawan Riyanto Tri Kurniawan Santosa, Bagas Dwi Taufaldisatya Wijatama Diwangkara Taufaldisatya Wijatama Diwangkara