Development of Agricultural Product Origin Inspection System for Supporting Agro-Tourism with Data Mining Techniques in Samut Prakan Province
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Abstract
This paper presents the innovative development of a source monitoring system for agricultural products that supports agricultural tourism using data mining techniques in the Samut Prakan Province using collaborative filtering. This method uses modeling techniques with clustering techniques and an Analytic Hierarchy Process (AHP). This method can create a database by adopting the approach of developing a knowledge base using the ontology method to propose knowledge in the form of groups of concepts and their relationships with each other within the scope of interest. This makes it possible to create a database that provides reasoning efficiently. This research is a combination of qualitative and quantitative research with the following objectives: (1) to study and collect data on the sources of agricultural products and agricultural tourism sites in Samut Prakan Province and (2) to develop a working model of the source inspection system of agricultural products for introducing agricultural tourism using data mining techniques. (3) To develop an application to support agricultural tourism by monitoring the sources of agricultural products in Samut Prakan Province. According to the research, (1) ontology can accurately and appropriately verify the sources of developed agricultural products to a large extent (4.16±0.46). (2) The system has a high level of efficiency (4.27±0.63). (3) Results of satisfaction assessment by users with a high level of satisfaction with the system. (4.25±0.65). However, the system of monitoring the source of agricultural products that supports agritourism with this developed data-mining technique can be used to meet the needs of users.
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References
Angskun, T., & Angskun, J. (2014, December). A Personalized System for Travel Attraction Recommendation Using a Clustering Technique and an Analytic Hierarchy Process. Suranaree Journal of Science and Technology, 8(2), 87-109. Retrieved from http://soctech.sut.ac.th/wr/web/journal/f1eds7cUWFL8.pdf
AWS. (2023, December 12). What is a Web App? . Retrieved from amazon.com: https://aws.amazon.com/what-is/web-application/
Breese, J. S., Heckerman, D., & Kadie, C. (1998). Empirical analysis of predictive algorithm for collaborative filtering. In Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence , 43-52.
Burke, R. (2007, January 1). Hybrid web recommender systems. LNCS, 4321. doi:10.1007/978-3-540-72079-9_12
Bang Krachao Kung Lovers Network. (2023). Report on the performance of the agricultural data
collection project of the Bang Krachao sub-district. Samut Prakan:Retrieved February 18, 2023
Chiang, M., & Mirkin, B. (2010, March). Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads. Classification, 27(1), 3-40. doi:10.1007/s00357-010-9049-5
Cungen, C., Qiangze, F., Ying, G., Fang, G., Jinxin, S., Yuefei, S., . . . Xiaobin, Z. (2002). Progress in the development of national knowledge infrastructure. Journal of Computer Science and Technology, 17, 523-534. Retrieved from https://link.springer.com/article/10.1007/BF02948821
Department of Agricultural Promotion. (2023). Department of Agricultural Promotion to Develop
Community tourism potential strengthens officers' fangs and nails. Continue to develop
agricultural tourism sites to meet business standards. December 3, 2023, from
Department of Agricultural Extension: https://www.doae.go.th
Fongmanee, S., Chaikhamwang, S., Yaibuates, M., & Janthajirakowit, C. (2021). The Mobile Application for Promoting Community-Based Tourism: A Case Study of Baan Muang-Ruang Community, Mueang District, Chiang Rai Province. 2021 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunication Engineering, 03-06 March 2021. Cha-am, Thailand: IEEE. Retrieved from https://ieeexplore.ieee.org/abstract/document/9425736
Hussein, S., & Ahmed, E. (2022). Mobile Application for Tourism: The Case of Egypt. International Journal of Customer Relationship Marketing and Management (IJCRMM), 13(1), 1-29. doi:10.4018/IJCRMM.290415
Javaheri, H. (2011). Optimal tourism route in historical urban areas-a case study in Tehran’s Down Town, Iran. South Asian Journal of Tourism and Heritage (Vol. 4, No. 1), 34-43.
Kronsirinut, R., Chonthisa, R., &Wiyuda, P. (2024). our Guide Application for Tourist via Line Chatbot- In the case of Multicultural Tourism, Narathiwat Province-. International Journal of Science and Innovative Technology (IJSIT) , Vol. 7 ( No. 1), 34-43.
Liu, M., Huang, R., & Xu, F. (2023). Research on the Construction of Safety Information Ontology Knowledge Base and Accident Reasoning for Complex Hazardous Production Systems-Taking Methanol Production Process as an Example. Sustainability, 15(3), 1-18. doi:10.3390/su15032568
Ministry of Tourism and Sports, Tourism and Sports Economics Division. (2020). COVID-19 and its
Impact on Thailand's Tourism Situation Quarterly, 1/2020. Bangkok.
Nugraha, N. B., Suyoto, .., & Pranowo, .. (2017). Mobile Application Development for Smart Tourist Guide. Advanced Science Letters, 23(3), 2475-2477. doi:doi:10.1166/asl.2017.8764
Prachayagringkai, S., Buranarach, M., & Wuttidittachotti, P. (2023). Support system of self-assessment and gap analysis for new normal tourism standards. Indonesian Journal of Electrical Engineering and Computer Science, 29(1), 384-395. doi:10.11591/ijeecs
Rachman, F., Jauhari, A., Mukhlisin, R., Prastiti, N., Herawati, S., & Imamah. (2022). Mobile Application for Personalized Culinary Tourism Based on User Preference. 022 International Conference of Science and Information Technology in Smart Administration (ICSINTESA) (pp. 57-62). Denpasar, Bali, Indonesia: IEEE. doi:10.1109/ICSINTESA56431.2022.10041690
Samut Prakan Provincial Agriculture Office. (2022). Basic Information and Information on Agriculture
and Cooperatives in Samut Prakan Province in 2022. Retrieved December 20, 2022,
from https://www.opsmoac.go.th/samutprakan-dwl-files-441591791121
Thai e-Finance News Agency.(2023, February 9 2023).AOT revealed that in January 2023,
Suvarnabhumi flights jumped by 84%–passengers grew by 317% to welcome China to open the
country. June 2, 2023 from the Thai e-Finance News Agency
https://www.efinancethai.com/LastestNews/LatestNewsMain.aspx?id=NWh6M2ltVXVyRnc9
Tourism Authority of Thailand (September 2023). Tourism Behavior Survey Project of Thai People in
(Data from Q1 – Q3 2023).Retrieved September 17, 2024, from Tourism Authority of
Thailand: https://intelligencecenter.tat.or.th/wp-content/uploads/2023/12/Complete Report-
Survey of Thai Travel Behavior Project--2566.pdf
Wang, N. (2021). Ideological and Political Education Recommendation System Based on AHP and Improved Collaborative Filtering Algorithm. Scientific Programming and Artificial Intelligence for Sensor Data Stream Analysis, 1-9. doi:10.1155/2021/2648352
Zheng, V., Cao, B., Zheng, Y., Xie, X., & Yang, Q. (2010). Collaborative filtering meets mobile recommendation: A user-centered approach. In Proceedings of Association for the Advancement of Artificial Intelligence (AAAI), Vol. 24 No. 1, 23-241.