Development of a web application for recommending Buddhist attraction tourism based on tourist behavior in Phra Nakhon District, Bangkok
Keywords:
Buddhist tourist attractions, Web Application, Tourist Behavior, Tourism recommendation system, Content-based recommendationAbstract
The objective of this research is to develop and evaluate the effectiveness of a web-based application for recommending Buddhist tourism attractions based on tourist behavior in Phra Nakhon District, Bangkok, Thailand. The research methodology includes review of relevant documents and field surveys to collect data on Buddhist tourist attractions. The data obtained from the in-depth interview was used to analyze problems and user requirements for the web application. The web application was developed using HTML, CSS, and JavaScript with Microsoft Visual Studio Code. The recommendation system was designed based on the concept of content-based recommendation to support the presentation of tourism information that aligns with individual user behavior. The evaluation of the web application’s effectiveness was conducted using questionnaires to collect data from a sample group consisting of 400 technical experts and tourists. Data analysis uses descriptive statistics, including mean and standard deviation. The results show that the web application for recommending Buddhist attraction tourism consists of 5 subsystems: tourist attraction management system, public relations system, tourist information management system, tourist attraction search and filtering system, and review and rating system. The evaluation results across three aspects found that the majority of the sample group gave high scores in all aspects, ranked by average scores from highest to lowest as follows: usability efficiency (𝑥̅ = 4.47, S.D. = 0.61), content accuracy (𝑥̅ = 4.41, S.D. = 0.59), and design (𝑥̅ = 4.40, S.D. = 0.61).
References
กระทรวงการท่องเที่ยวและกีฬา. (2567, 14 ตุลาคม). สถิตินักท่องเที่ยวชาวต่างชาติที่เดินทางเข้าประเทศไทย ม.ค. - ส.ค. ปี 2567 (เบื้องต้น). https://www.mots.go.th/news/category/759.
ขวัญชนก สุวรรณพงศ์. (2564). พฤติกรรมการท่องเที่ยวเชิงพุทธศาสนาในจังหวัดภูเก็ตของนักท่องเที่ยวชาวไทย. วารสารมนุษย์ศาสตร์และสังคมศาสตร์ มหาวิทยาลัยราชพฤกษ์, 7(3), 113-128. https://so03.tci-thaijo.org/index.php/rpu/article/view/258088
มนชนก จุลสิกขี. (2562). แนวทางการจัดการการท่องเที่ยวเชิงพุทธศาสนา วัดในพื้นที่ฝั่งธนบุรี. วารสารวิทยาการจัดการปริทัศน์, 21(2), 203-210. https://so03.tci-thaijo.org/index.php/msaru/article/view/248268
วารุณี ประไพรเมือง. (2565). แนวทางการท่องเที่ยวเชิงพุทธวิถีใหม่ New normal. Journal of MCU Ubon Review, 7(3), 395-408. https://so06.tci-thaijo.org/index.php/mcjou/article/view/260820
สำนักงานสถิติแห่งชาติ กระทรวงดิจิทัลเพื่อเศรษฐกิจและสังคม. (2567,14 ตุลาคม). สถิติจำนวนศาสนสถาน (วัด) ในศาสนาพุทธ. https://gdcatalog.go.th/en/dataset/gdpublish-dra-04-01.
Aggarwal, C.C. (2016). Content-Based Recommender Systems. In Recommender Systems (pp. 139–166). Springer. https://doi.org/10.1007/978-3-319-29659-3_4.
Javed, U., Shaukat, K., A. Hameed, I., Iqbal, F., Mahboob Alam, T., & Luo, S. (2021). A Review of Content-Based and Context-Based Recommendation Systems. International Journal of Emerging Technologies in Learning (iJET), 16(03), pp. 274–306. https://doi.org/10.3991/ijet.v16i03.18851
Piramanayagam, S., Kumar, N., Mallya, J., & Anand, R. (2020). Tourist’s motivation and behavioural intention to visit a religious Buddhist site: A case study of Bodhgaya. International Journal of Religious Tourism and Pilgrimage, 8(5), Article 5. https://doi.org/10.21427/w52e-5737
Renjith, S., Sreekumar, A., & Jathavedan, M. (2020). An extensive study on the evolution of context-aware personalized travel recommender systems. Information Processing & Management, 57(1), 102078. https://doi.org/10.1016/j.ipm.2019.102078
Ricci, F., Rokach, L., & Shapira, B. (2011). Introduction to recommender systems handbook. In Recommender systems handbook (pp. 1–35). Springer. https://doi.org/10.1007/978-0-387-85820-3_1
Wang, Z. (2023). Intelligent recommendation model of tourist places based on collaborative filtering and user preferences. Applied Artificial Intelligence, 37(1), 2203574. https://doi.org/10.1080/08839514.2023.2203574
Wilson, N., Keni, K., & Tan, P.H. (2019). The Effect of Website Design Quality and Service Quality toward Repurchase Intention in the E-commerce Industry: A Cross-Continental Analysis. Gadjah Mada International Journal of Business, 21(2), 187-222. https://doi:10.22146/GAMAIJB.33665.
Yamane, T. (1973). Statistics: An Introductory Analysis (3rd ed.). New York: Harper & Row.
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