Determination of the relationship pattern of association topic on Al-Qur’an using FP-Growth Algorithms
Rice Novita, Mustakim Mustakim, Febi Nur Salisah · IOP Conference Series Materials Science and Engineering · 2021
Abstract The Qur’an is an Islam holy book used as life guidance. Since its function as human life guidance, some strategies and ways are necessary in learning al Qur’an. Many strategies are usable in learning Qur’an, one of them is by learning munasabah science and the relationship between the topic and verses of Qur’an. The development of Data Mining that is expanded with text mining makes it easy to divide and find out the relationship of the topic of Qur’an especially in its translation. FP – Growth Algorithm is one of algorithm with many excellences in obtaining association pattern, in this case by determining topic relationship on Qur’an. The experiment in this research was carried out with 4 models where the best parameter is at minimum support 80% and its minimum confidence is 40%. Rule that is produced by algorithm is 159 with lift ratio 1.203. The best rule is implemented on android programming language as Qur’an learning media.