Optimization of Tourism Destination Recommendations in Batang Regency Using Content-Based Filtering
Abstract
In an era where tourism plays a pivotal role in economic development, the need for effective navigation through diverse attractions has never been more critical. This research presents a cutting-edge tourism recommendation system tailored for Batang Regency, leveraging Content-Based Filtering (CBF) to deliver personalized suggestions that enhance the tourist experience. By categorizing tourist attractions into Culinary, Culture, Accommodation, Nature, and Leisure, and employing the Haversine formula for precise geographical calculations, our system prioritizes recommendations based on user preferences and proximity. Recommendation testing yielded an impressive average F1 Score of 0.965, underscoring the system's accuracy and relevance, particularly in straightforward user scenarios. However, the research also identifies challenges in more complex cases, suggesting the need for future enhancements through hybrid models and the integration of user feedback. This innovative approach not only streamlines the decision-making process for tourists but also aims to boost local tourism, making it an invaluable tool for both visitors and the Batang Regency community. Join us in exploring how technology can transform the way we experience travel, ensuring that every journey is tailored to individual desires and needs.
References
[2] Y. I. Lubis, D. J. Napitupulu, and A. S. Dharma, “Implementation of Hybrid Filtering (Collaborative and Content-based) Methods for the Tourism Recommendation System,” in 12th Conf. Inf. Technol. Electr. Eng., 2020, pp. 6–8.
[3] A. N. Millatina, F. Hakimi, I. Zaki, and I. Yuningsih, “Peran Pemerintah Untuk Menumbuhkan Potensi Pembangunan Pariwisata Halal Di Indonesia,” Jurnal Manajemen Dan Bisnis Indonesia, vol. 5, no. 1, pp. 96–109, 2019.
[4] M. Nurulhuda and Alamsyah, “Pengembangan Tata Ruang dan Pengaruhnya Terhadap Pendapatan Asli Daerah Pariwisata Kabupaten Batang: 2011-2019,” Sabda : Jurnal Kajian Kebudayaan, vol. 16, no. 2, pp. 88–96, Dec. 2021, Accessed: Sep. 03, 2024. [Online]. Available: https://ejournal.undip.ac.id/index.php/sabda/article/view/62566/25598
[5] M. N. Zulmi, I. Nugroho, and D. D. Salsabila, “Reaktualisasi Citra Wisata Kabupaten Batang Melalui Pengembangan Pop-Up Visit Batang Heaven Of Asia Sebagai Media Edumowisata (Edukasi Promosi Wisata) Kabupaten Batang,” RISTEK: Jurnal Riset, Inovasi dan Teknologi, 2019.
[6] A. Akbarul Huda and L. Dwi Farida, “Kajian Sistem Rekomendasi Pada Keanekaragaman Podcast,” Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi, 2021.
[7] R. M. Ariyani, V. Dhameria, and S. Suyitno, “Pengaruh Daya Tarik Wisata dan Promosi Media Sosial terhadap Minat Berkunjung Kembali Wisatawan di Waduk Setu Patok Kabupaten Cirebon,” JPEKA: Jurnal Pendidikan Ekonomi, Manajemen dan Keuangan, vol. 6, no. 2, pp. 133–147, Nov. 2022, doi: 10.26740/jpeka.v6n2.p133-147.
[8] G. R. Putra, “Sistem Rekomendasi Pemilihan Smartphone Gaming Menggunakan Metode Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS),” Jurnal Ilmiah Computer Science, vol. 1, no. 1, pp. 41–48, Jul. 2022, doi: 10.58602/jics.v1i1.5.
[9] P. S. Pratiwi, “Perancangan Sistem Rekomendasi Berbasis Model Ontologi Untuk Rekomendasi Tempat Magang Mahasiswa,” Syntax Literate: Jurnal Ilmiah Indonesia, vol. 7, no. 6, 2022, Accessed: Sep. 03, 2024. [Online]. Available: https://doi.org/10.36418/syntaxliterate.v7i6.7498
[10] S. R. Cholil, N. A. Rizki, and T. F. Hanifah, “Sistem Rekomendasi Tempat Wisata Di Kota Semarang Menggunakan Metode Collaborative Filtering,” JIKO (Jurnal Informatika dan Komputer), vol. 7, no. 1, p. 118, Feb. 2023, doi: 10.26798/jiko.v7i1.727.
[11] A. Sispianygala, S. Sandino Berutu, and J. Jatmitka, “Pengembangan Aplikasi Sistem Rekomendasi Tempat Wisata Dengan Collaborative Filtering,” Progresif: Jurnal Ilmiah Komputer, vol. 20, pp. 828–838, Aug. 2024, doi: http://dx.doi.org/10.35889/progresif.v20i2.2044.
[12] A. Sidik, N. Nurmaesah, and Y. Carsoyo, “Sistem Rekomendasi Wisata Kuliner di BSD untuk Menaikan Rating Penjualan dengan Metode Item-Based Collaborative Filtering,” AJCSR [Academic Journal of Computer Science Research, 2023.
[13] L. Cahyani, N. Sephiana, M. Tahir, and J. Aisyiah, “Sistem Rekomendasi Wisata Kuliner Madura Menggunakan Content Based Filtering,” EXPLORE-IT: Jurnal Keilmuan dan Aplikasi Teknik Informatika, vol. 16, no. 1, Jun. 2024, doi: 10.35891/explorit.
[14] M. Alkaff, H. Khatimi, and A. Eriadi, “Sistem Rekomendasi Buku pada Perpustakaan Daerah Provinsi Kalimantan Selatan Menggunakan Metode Content-Based Filtering,” MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 20, no. 1, pp. 193–202, Sep. 2020, doi: 10.30812/matrik.v20i1.617.
[15] S. Z. Putri, M. Hariadi, and R. F. Rachmadi, “Rekomendasi Barang pada E-Commerce Menggunakan Content Based Recommender System Berbasis Ethereum Blockchain,” JURNAL TEKNIK ITS, vol. 12, no. 2, 2023, Accessed: Sep. 03, 2024. [Online]. Available: 10.12962/j23373539.v12i2.115263
[16] R. Akbar, D. Richasdy, and R. Dharayani, “Sistem Rekomendasi Buku Dengan Collaborative Filtering Menggunakan Metode Singular Value Decomposition (SVD),” in e-Proceeding of Engineering, 2023, pp. 5013–5019.
[17] A. Anisatuzzumara, “Implementasi Latent Dirichlet Allocation (LDA) Dan K-Nearest Neighbors (KNN) Pada Sistem Rekomendasi,” Universitas Islam Sultan Agung, 2024.
[18] M. Fajriansyah, P. P. Adikara, and A. W. Widodo, “Sistem Rekomendasi Film Menggunakan Content Based Filtering,” Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 5, no. 6, pp. 2188–2199, May 2021, [Online]. Available: http://j-ptiik.ub.ac.id
[19] Z. Munawar, Y. Herdiana, N. I. Putri, and R. Rustiyana, “Dampak Intelijen Bisnis Pada Kualitas Pengambilan Keputusan,” Infotronik : Jurnal Teknologi Informasi dan Elektronika, vol. 6, no. 1, p. 32, Jun. 2021, doi: 10.32897/infotronik.2021.6.1.661.
[20] S. Reddy, S. Nalluri, S. Kunisetti, S. Ashok, and B. Venkatesh, “Content-based movie recommendation system using genre correlation,” in Smart Innovation, Systems and Technologies, Springer Science and Business Media Deutschland GmbH, 2019, pp. 391–397. doi: 10.1007/978-981-13-1927-3_42.
[21] M. Rofiq and R. F. Uzzy, “Penentuan Jalur Terpendek Menuju Cafe Di Kota Malang Menggunakan Metode Bellman-Ford Dengan Location Based Service Berbasis Android,” Jurnal Ilmiah Teknologi dan Informasi ASIA, vol. 8, no. 2, 2014, Accessed: Sep. 10, 2024. [Online]. Available: https://jurnal.stmikasia.ac.id/index.php/jitika/article/view/176/131
[22] R. A. Azdy and F. Darnis, “Use of Haversine Formula in Finding Distance between Temporary Shelter and Waste End Processing Sites,” in Journal of Physics: Conference Series, Institute of Physics Publishing, May 2020. doi: 10.1088/1742-6596/1500/1/012104.
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