INTEGRATION OF TECHNIQUES WITH DATA MINING FOR COMMUNITY PROJECT DATA ANALYSIS FROM PROJECT SPECIFIC CHARACTERISTICS

The development of Thailand under the strategy of transforming Thailand into being "Digital Thailand" and Thailand 4.0 policy will result in initiatives and pushing various projects of a large number of government agencies But the needs of the community and the readiness of the agencies that proposed the project are different. Still not being able to present and carry out various projects that can be requested at the same time due to the various restrictions of each department. Therefore, the project is characterized by the concept of Smart City / Community. Therefore is a project that in line with the strategy and national development policies and have the opportunity to be considered for support this research presents the methods of project data analysis and classification of which projects have characteristics according to the concept of Smart City / Smart Community, which type of research results using 30 project data and amount of 7087 attribute. The data mining techniques is Decision Tree, Rule-Based techniques. Naïve Bayesian and Decision Tree-Rule-Based (DT-RB) found that projects can be classified according to characteristics used as indicators with 86.78% accuracy.