<![CDATA[The evaluation of Qur'an memorization is an important part of Tahfiz learning that requires teachers to carefully listen to and record students' memorization performance. Manual recording processes can be time-consuming and may lead to inconsistencies in documenting memorization results. This study aims to develop an innovation for Qur'an memorization evaluation based on speech recognition integrated with the Levenshtein Distance algorithm to support the assessment and recording of students' memorization. The study employed the Rapid Application Development (RAD) method, consisting of the Requirements Planning, Design Workshop, and Implementation stages. The system recognizes Qur'anic recitation through speech recognition technology and compares the recognized speech with the corresponding verse text using the Levenshtein Distance algorithm to obtain a recitation similarity score. System testing included functional suitability, compatibility, and usability. The results showed that the system achieved 100% for functional suitability and 100% for compatibility, while the usability test using the USE Questionnaire involving 56 respondents obtained a score of 93.41%, categorized as very feasible. These results indicate that the system can be used as a supporting tool for evaluating and recording Qur'an memorization. The implementation of the system also has the potential to support teacher work efficiency in recording memorization results and to facilitate more consistent and objective assessment documentation for students.]]>
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