Quality Analysis of Al-Qur'an Learning Qiro'ati Method with Apriori Algorithm (Case Study: SMK Al Irsyad Al Islamiyyah)

Widya Kurniawan; Dihin Muriyatmoko; Sissy Rachmania Siregar

doi:10.59934/jaiea.v5i1.1292

Authors

Widya Kurniawan University of Darussalam Gontor
Dihin Muriyatmoko University of Darussalam Gontor
Sissy Rachmania Siregar Universitas Darusssalam Gontor

DOI:

https://doi.org/10.59934/jaiea.v5i1.1292

Keywords:

Qur'an Learning, Qiroati Method, Data Mining, Algoritma Apriori, CRISP-DM

Abstract

Learning the Qur'an is an important part of Islamic education because it includes the ability to read and understand tajweed and makharijul huruf. At SMK Al Irsyad Al Islamiyyah Cirebon, the Qiro'ati method is used as the main approach. However, its effectiveness is not optimal as only 50-60% of students read according to the standard. This study aims to analyze the factors that affect the quality of Qur'an learning with a data mining approach using the Apriori algorithm. The analysis process follows the CRISP-DM stages, starting from understanding the problem, collecting data from 175 students, cleaning, data transformation, to exploring association patterns. Evaluation was done with three metrics: support, confidence, and lift. The results showed that most of the rules met the criteria of support ≥ 0.3, confidence ≥ 0.8, and lift > 1, indicating strong and relevant patterns. One of the best rules showed that the combination of parental support, teacher guidance, and intermediate level verse connection skills were positively correlated with improved reading quality. The most consistently influential factors were parental support, teacher quality, verse connection ability, and understanding of makharijul huruf. These findings suggest that the Apriori algorithm is effective in identifying hidden patterns for designing strategies to improve the quality of Qur'anic learning in schools.

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