Utilization of Mobile Technology for Nearest Tourist Destination Recommendations in Sleman Regency Using the Haversine Formula
DOI:
https://doi.org/10.58526/jsret.v3i4.515Keywords:
Sleman tourism, Mobile application, Destination recommendation, Haversine formulaAbstract
The tourism sector in Sleman Regency, Yogyakarta, experiences a high volume of visitors, especially to cultural and natural attractions. However, the current systems for finding and navigating tourist destinations rely on manual search processes and lack integration, leading to suboptimal user experiences. This study aims to address these limitations by developing a mobile-based tourist destination recommendation system that provides an efficient, categorized, and navigable user experience. The system categorizes destinations into four main type that is nature, temple, family, and education, and users to explore locations based on their preferences. By employing the Haversine formula, the system recommends destinations based on proximity. Additionally, users can purchase tickets directly through the app, enhancing convenience, while a bug reporting feature enables continuous improvement based on user feedback. This integration of interactive and practical features aims to improve visitor satisfaction and streamline the tourism experience in Sleman Regency, contributing positively to the local tourism industry. The system operates with three main user roles that are Tourist, Tourist Admin, and Superadmin.
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Abbasi-Moud, Z., Vahdat-Nejad, H., & Sadri, J. (2021). Tourism Recommendation System Based on Semantic Clustering and Sentiment Analysis. Expert Systems with Applications, 167, 114324. https://doi.org/https://doi.org/10.1016/j.eswa.2020.114324
Ary, N. M., Wirastuti, E. D., Verlin, L., Mkwawa, I.-H., Samarah, K. G., Made, N., Esta, A., & Wirastuti, D. (2023). Implementation of Geographic Information System Based on Google Maps API to Map Waste Collection Point Using the Haversine Formula Method. Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika (JITEKI), 9(3), 731–745. https://doi.org/10.26555/jiteki.v9i3.26588
Daniel, D., & Lasut, D. (2023). Application of The Haversine Method In The Android-Based Donation Search Application. Bit-Tech (Binary Digital - Technology), 6(1), 1–7. https://doi.org/10.32877/bt.v6i1.736
Fatimah, F., Al Ikhsan, S. H., & Wulandari, B. (2022). Implementation of The Haversine Method For The Application of Finding Tourist Attractions In The Nanggung District. Journal of Computing and Information System, 18(1), 59–64. https://doi.org/10.33480/pilar.v18i1.3000
Gulo, V. B., Triayudi, A., & Iskandar, A. (2023). Sistem Informasi Aplikasi Pemesanan Makanan Restoran Berbasis Web Menggunakan Metode Agile Development. Jurnal Riset Komputer, 10(1), 154–164. https://doi.org/10.30865/jurikom.v10i1.5633
Hermawan, H., & Rosyid, H. (2020). Rancang Bangun Aplikasi Mobile Android Untuk Sistem Informasi Lokasi Wisata Kabupaten Gresik Menggunakan Metode Item-Based Collaborative Filtering. Informatic and Computational Intelegent Journal, 2(1), 18–28.
Ilarri, S., & Trillo-Lado, R. (2024). An approach for proactive mobile recommendations based on user-defined rules. Expert Systems with Applications, 242, 122714. https://doi.org/https://doi.org/10.1016/j.eswa.2023.122714
Lubis, F., Prihandi, I., Usino, W., & Ismail, N. A. B. (2024). Development Geofencing Process And Face Recognition Design Using Haversine Formula And The K-Nearest Neighbor Algorithm In The Employee Attendance Application. AIP Publishing, 2987(1), 020007. https://doi.org/10.1063/5.0200763
Manalu, D. O., Kusumawati, Y. A., & Tho, C. (2023). Developing Nusantara Mobile Application to Support Local Tourism in Indonesia. Procedia Computer Science, 227, 641–650. https://doi.org/https://doi.org/10.1016/j.procs.2023.10.568
Meckenstock, J. N. (2024). Shedding light on the dark side – A systematic literature review of the issues in agile software development methodology use. Journal of Systems and Software, 211, 111966. https://doi.org/https://doi.org/10.1016/j.jss.2024.111966
Mishra, R. K., Jothi, J. A. A., Urolagin, S., & Irani, K. (2023). Knowledge based topic retrieval for recommendations and tourism promotions. International Journal of Information Management Data Insights, 3(1), 100145. https://doi.org/https://doi.org/10.1016/j.jjimei.2022.100145
Muhammad Dawamul Mughni, & Putri Aisyiyah Rakhma Devi. (2023). Implementation Of Teacher Presence System Using Mobile-Based Geofencing & Haversine Formula Methods. Applied Technology and Computing Science Journal, 6(1), 31–40. https://doi.org/10.33086/atcsj.v6i1.4119
Niu, H. (2023). The effect of intelligent tour guide system based on attraction positioning and recommendation to improve the experience of tourists visiting scenic spots. Intelligent Systems with Applications, 19, 200263. https://doi.org/https://doi.org/10.1016/j.iswa.2023.200263
Nur Anisa, F., & Wibowo, S. (2022). Penggunaan Machine Learning Dalam Aplikasi Rekomendasi Tempat Wisata Jawa Tengah (Se-Jawat Tourish). Science And Engineering National Seminar, 7(1), 1–11.
Prakasa Viragupty, A., Ramadhan Nasution, Y., & Lubis, A. H. (2024). Perancangan Aplikasi Pencarian Lokasi Vaksin Menggunakan Metode Haversine Berbasis Android. Journal of Science and Social Research, 1, 235–240. https://doi.org/10.54314/jssr.v7i1.1673
Rahmawita Munzir, M., & Iriadi, D. (2021). Aplikasi Objek Wisata Berbasis Android Di Kota Pekanbaru. Jurnal Ilmiah Rekayasa Dan Manajemen Sistem Informasi, 7(1), 1–10.
Santiyasaa, I. W., Narotamaa, I. G. A., Suhartanaa, I. K. G., Putraa, I. G. N. A. C., Mahendraa, I. B. M., & Widiartha, I. M. (2022). Perancangan Aplikasi Augmented Reality Location Based Service Nusa Dua Tourism Guide. Jurnal Elektronik Ilmu Komputer Udayana , 11(2), 235–246.
Syaripudin, U., Fauzi, N., Uriawan, W., Z, W., & Rahman, A. (2021). Haversine Formula Implementation to Determine Bandung City School Zoning Using Android Based Location Based Service. 1. https://doi.org/10.4108/eai.11-7-2019.2303558
Teixeira, P., Eusébio, C., & Teixeira, L. (2024). Prototyping and usability evaluation of mobile-based-application for accessible tourism market: the view of tourism demand. Procedia Computer Science, 237, 850–857. https://doi.org/https://doi.org/10.1016/j.procs.2024.05.174
Ward, R., & Sencer, B. (2023). Accurate TCP Position and Orientation Trajectory Generation in 6DOF Robotic Manipulators and CNC Machine Tools using FIR Filtering and Haversine Synchronisation. Procedia CIRP, 120, 27–32. https://doi.org/https://doi.org/10.1016/j.procir.2023.08.006
Yochum, P., Chang, L., Gu, T., & Zhu, M. (2020). Linked Open Data in Location-Based Recommendation System on Tourism Domain: A Survey. IEEE Access, 8, 16409–16439. https://doi.org/https://doi.org/10.1109/aCCESS.2020.2967120
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