Seasonal Tourist Attraction Recommendation System for Loei Province
Article Sidebar
Main Article Content
Abstract
The objectives of this research were to: 1) develop a seasonal tourist attraction recommendation system for Loei Province; 2) evaluate user satisfaction; and 3) assess the efficiency of the system. The sample consisted of 30 Information Technology students from the Faculty of Science and Technology, Loei Rajabhat University, selected through random sampling from the population. The research instruments included a web application for the tourist attraction recommendation system, a satisfaction questionnaire, and an efficiency evaluation form assessed by three experts. The statistics used for data analysis were mean ( ) and standard deviation (SD.).
The research findings revealed that: 1) the seasonal tourist attraction recommendation system for Loei Province was developed as a web application using PHP, HTML, CSS, and JavaScript together with a MySQL database. The system could recommend tourist attractions according to seasons, including summer, rainy season, and winter, as well as by district. It also integrated Google Maps API to display navigation maps and included a tourist attraction review system; 2) the user satisfaction evaluation showed that overall satisfaction with the system was at a high level
( = 4.50, SD. = 0.55). The item with the highest mean score was the consistency of tourist attractions with the recommended season (
= 4.60), followed by the ease and speed of searching for tourist attractions (
= 4.55); and 3) the efficiency evaluation by experts showed that the overall efficiency of the system was at a high level (
= 4.05, SD. = 0.54). The aspect with the highest mean score was functional capability (
= 4.33), followed by functional requirements (
= 4.27).
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Tourism Authority of Thailand, “Loei (Travel guide),” 2020. [Online]. Available: https://api.tat.or.th/upload/live/multimedia/9203/เลย_TH.pdf. [Accessed: Jun. 18, 2026]. (in Thai)
K. Khumkhrong, U. Sirisukpoca, and P. Simalaotao, “Developing an AI-driven web application for tourist recommendations with a geographic information system: A case study of Ratchaburi province,” J. Acad. Inf. Technol., vol. 6, no. 1, pp. 43–55, 2025. (in Thai)
K. Jandum, S. Vachirasricirikul, and J. Jitwongnan, “A development of web application in 360-degree virtual reality to promote tourism in Kwan Phayao,” J. Appl. Inf. Technol., vol. 8, no. 2, pp. 67–80, 2022. (in Thai)
W. Kantvorarat, “The influence of online reviews in tourists’ hotel selection consumption,” J. Res. Development Inst. Bansomdejchaopraya Rajabhat Univ., vol. 10, no. 1, pp. 231–241, 2025. (in Thai)
K. Aliwongsakun, C. Wattatun, P. Liewtrakun, and R. Leerungnavarat, “Route community tourist attraction recommendation online system in Ang Thong province,” J. Sci. Innov. Sustainable Development, vol. 2, no. 2, pp. 22–31, 2020. (in Thai)
C. Yathongchai, W. Yathongchai, and K. Srisawat, “Mobile application for Buriram attraction recommendation,” SciTech Res. J., vol. 7, no. 2, pp. 1–18, 2024. (in Thai)
W. Karapukdee and Y. Karapukdee, “Web application development for virtual cultural attractions in Paknampo at Nakhon Sawan province area,” J. Technol. Manage. Rajabhat Maha Sarakham Univ., vol. 11, no. 2, pp. 14–26, 2024. (in Thai)
B. Srisatad, Basic Research, 7th ed. Bangkok, Thailand: Suweeriyasarn Press, 2002. (in Thai)
T. Butsaba and P. Suwannasri, “Development of a website for recommending tourist attractions in Japan,” Sci. Technol. Community, vol. 3, no. 4, pp. 94–108, 2025. (in Thai)
N. Luengaram, P. Rakyim, and S. Srimuang, “Development of an individual tourist attraction recommendation system,” J. Acad. Inf. Technol., vol. 4, no. 1, pp. 33–43, 2023. (in Thai)