<![CDATA[To support the learning process, one must know their suitable learning style. Many students are already familiar with the concept of learning styles but still struggle to determine their own compatible style. Additionally, the absence of teachers teaching about learning styles contributes to the ineffectiveness of the learning process. Therefore, a system is needed to identify a student's learning style that matches their habits. Based on the existing issues, a student learning style identification system has been created as an alternative to assist students in identifying their compatible learning style. It implements the forward chaining method to record student responses and generate user Certainty Factors (CF) from those responses. This is followed by the Certainty Factor method to produce the highest CF value, which will then determine the suitable learning style for the student. The results of the black- box method testing within the system, using items 07 to 12, prove that the system can determine a student's learning style and provide learning recommendations based on that style. However, the accuracy of calculations diminishes when the number of questions is increased, leading to less precise results.]]>
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