DEVELOPMENT OF INFORMATION SYSTEM KNOWLEDGE MANAGEMENT LONGBOAT RACE TRADITION

Abstract

This research aimed to: 1) study and compile knowledge regarding the long-boat racing tradition; 2) develop an information system for managing knowledge related to this tradition; and 3) evaluate the system's performance and user satisfaction. The study employed a Research and Development (R&D) methodology divided into three phases. Part 1 involves studying and gathering knowledge regarding the long-boat racing tradition by interviewing six experts–individuals possessing local wisdom, experience, and expertise in the long-boat racing traditions of Northeastern Thailand–and assessing system requirements through interviews with these experts as well as 360 members of Northeastern long-boat racing groups. Using proportional stratified sampling with a questionnaire having a reliability coefficient of 0.960, five experts in information systems development and traditional longboat racing assessed the Index of Content Validity (IOC), which was found to be between 0.60 and 1.00, indicating that the questionnaire demonstrated a good level of content validity. It was pilot-tested with 30 boat team members (excluding the actual sample group), and the reliability of the entire questionnaire was calculated using Cronbach’s alpha coefficient. Part 2: System Design and Development. The system was developed using PHP for programming, MySQL for database management, and the Windows operating system. Tools used included XAMPP (to simulate a personal computer acting as a web server), web browsers (Internet Explorer and Google Chrome), and Notepad. Part 3 involved evaluating the system's efficiency with five experts and assessing user satisfaction among 250 long-boat racing team members, utilizing a sample size calculation formula such as Taro Yamane’s at a 95% confidence level. The satisfaction questionnaire demonstrated a reliability coefficient of 0.975. An assessment of the Index of Item-Objective Congruence (IOC) indicated a good level of content validity. Interview data were analyzed using content analysis, while quantitative data were analyzed using statistical measures, including frequency, percentage, mean, and standard deviation.

The research findings were as follows: 1. The body of knowledge regarding the longboat racing tradition comprised five aspects: (1) the history and development of the tradition; (2) boat construction and maintenance; (3) the team preparation process; (4) rules, regulations, competition schedules, and results; and (5) experiences and best practices. The desired characteristics of the information system included support for various types of media, ease of searching, a space for knowledge exchange, and the ability to continuously import and update knowledge. 2. The information system for managing knowledge of the longboat racing tradition developed by the researcher consisted of a database covering all five aspects of knowledge, as well as team and athlete data, competition data, and ritual data. The system met user requirements and included a menu that allowed longboat members to exchange knowledge. Users were divided into three groups: administrators, members, and general users. 3. The results of the system efficiency evaluation conducted by five experts indicated that the overall system efficiency was at the highest level (= 4.76, S.D. = 0.39). The aspect with the highest mean score was system security, which was also at the highest level (= 4.93, S.D. = 0.18) 4. The results of the evaluation of user satisfaction with the information system indicated that overall satisfaction was at the highest level (= 4.56, S.D. = 0.64), The aspect with the highest mean score was system performance, which was at the highest level  (= 4.70, S.D. = 0.73)