RESULTS OF PERFORMANCE EVALUATION FOR INTELLIGENT AGENT SYSTEMS UTILIZING CLOUD TECHNOLOGY IN ANALYZING STUDENTS' INTEREST IN PARTICIPATION WITHIN SELF-DEVELOPMENT ACTIVITIES AT PRIVATE HIGHER EDUCATION INSTITUTIONS

Abstract

This research aimed to 1) analyze and design an intelligent agent system through cloud technology, 2) develop an intelligent agent system using cloud technology, and 3) evaluate the performance of the intelligent agent system through cloud technology. The system was evaluated by experts, consisting of three specialists in information and communication technology and two committee members for skill development and student affairs, a total of five persons, using a purposive sampling method.

The results of the research revealed that 1) the system analysis and design categorize users into three groups including faculty members of skill development and student affairs, staff, and students. 2) The developed intelligent agent system using cloud technology divide operations into six modules: user data management module, activity data management module, participation data management module, self-development activity interest analysis module, news and public information management module, and report issuance data management module, and 3) The overall performance evaluation of the usage of the system is at a good level, indicating that the developed system is appropriately used to analyze student interest in self-development activities in private higher education institutions.