Errors in interpreting a concept can occur because students are still in the process of understanding. The experience gained through observation and reasoning has not been able to form complete knowledge, so students often experience errors in interpreting a concept. Therefore, errors in interpreting a concept that is not following the concept of science must be assessed as early as possible by the teacher. This research is a research development that produces a product using a four-level diagnostic test based on artificial intelligence. The purpose of this study was to see the development process and the diagnostic feasibility level of a four-level test using an Intelligent Teacher Assistant System (ITAS) based on the responsive website, the subject of developed Kinematics. This research was conducted at a senior high school in Tanjung Jabung Barat. Four validators of Physics Education lecturers carried out the feasibility test at Jambi University and one physics subject teacher at senior high school in Tanjung Jabung Barat. The result of the feasibility level of the media by media experts is 93.28% (category "very feasible"). In contrast, the test results or user responses obtained a value of 80.43% (category "very feasible"). Based on what was done, the development of a four-level test diagnostic using Matlab, Python Programming, Orange Data Mining, and a responsive website to identify high school student misconceptions on the subject of statistical fluids in total on the aspects of software engineering and visual communication can be categorized as"very feasible", so that it can be used to support the learning process of students in class.