The Influence of the Deep Learning Model on the Cultivation of Islamic Education Values SDIT Utsmanil Hakim Bogor

The cultivation of Islamic education values in elementary schools requires instructional models that foster deep understanding and meaningful internalization, including the implementation of the Deep Learning model. This study aims to analyze the effect of the Deep Learning instructional model on the cultivation of Islamic education values among fifth grade students at SDIT Utsmanil Hakim, Bogor. The research employed a quantitative approach using a causal associative method. The results indicate that the Deep Learning instructional model has a positive and significant effect on the cultivation of Islamic education values. That t-value exceeds the t-table value, and significance level is less than 0.05 (2.684 > 2.008 ; 0.010 < 0.05). Therefore, H1 is accepted and H0 is rejected. The F-test also supported these findings, with a calculated F-value of 7.206 and a significance level 0.010 < 0.05. The Adjusted R2 of 0.107 indicates a 10.7% constribution of the model, while 89.3% is influenced by other factors. These findings confirm the effectiveness of the Deep Learning in enhancing the cultivation of Islamic values among elementary students.