การวิเคราะห์ทางการท่องเที่ยวจังหวัดชลบุรีด้วยวิธีเหมืองข้อมูล

Akaradech Dulsang; Onpreeya Suket; Hathairat Duangrussamee; Supaporn Bundasak

doi:10.14456/jcct.2024.13

Authors

Akaradech Dulsang Student, Faculty of Science at Sriracha, Kasetsart University Siracha Campus Chonburi 20230, Thailand
Onpreeya Suket Student, Faculty of Science at Sriracha, Kasetsart University Siracha Campus Chonburi 20230, Thailand
Hathairat Duangrussamee Student, Faculty of Science at Sriracha, Kasetsart University Siracha Campus Chonburi 20230, Thailand
Supaporn Bundasak Assistant Professor, Faculty of Science at Sriracha, Kasetsart University Siracha Campus Chonburi 20230, Thailand

DOI:

https://doi.org/10.14456/jcct.2024.13

Keywords:

Tourist Behavior, Tourist Attractions, Chonburi Province, Data Mining Techniques

Abstract

Chonburi province has a variety of tourist attractions that make some tourists unable to decide which tourist attractions to choose that meet their needs. This research aims to analyze the behavior and factors affecting the decision-making of tourism in Chonburi Province by data mining methods to create a model for recommending tourist attractions from data collection using questionnaires with 120 samples of local tourists. Data analysis using four data mining techniques including Naïve Bayes, Decision Tree, K-Nearest Neighbors, and Multi-Layer Perceptron. In this regard, the study findings on factors that have a high influence on the decision to choose a tourist destination include nature preference, relaxation, and convenience of travel on the framework for developing and creating applications or platforms to recommend tourist attractions that are consistent with and meet the needs of future tourists effectively.

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