Application of Interval Type-1 Fuzzy Inference System to analyze the quality of memorization Qur’an

Abstract

Abstract In this modern world, the use of artificial intelligence needed. One of the intelligence methods raised in this study is to use the Interval Type-1-Fuzzy Inference System (IT-1-FIS). In Muslim schools (Madrasah Ibtidaiyah) where there is subject matter memorizing the Qur’an. The fluency determines the quality of memorization of the Qur’an in pronouncing letters (Input-1), Tajweed Rules (Input-2), and reading fluency (Input-3). These three points become input for forecasting Memorization Quality Of The Qur’an. IT-1-FIS requires primary inputs and rules to obtain the output of forecasting Memorization Quality Of The Qur’an. By using IT-1-FIS, it can predict that students will get the quality of memorization based on the trace value obtained on each point. So from the beginning the teacher will know the quality of a student’s memorization in the future. The estimated condition in memorization of the Qur’an can be known faster, and the teacher will be able to increase the points that are less to get the desired quality of memorization of the Qur’an by the habits practiced by students. These students’ patterns are the basic rules of input in the IT-1-FIS process.