Development of Google Sites Based on Deep Learning Material Emulating the Role of Maulana Malik Ibrahim

Abstract

This research aims to: (1) determine the feasibility level of web-based learning media using the Google Sites platform with a deep learning approach on the material “Emulating the Role of Maulana Malik Ibrahim in Spreading Islam,” and (2) identify changes in students’ learning interest after using the web-based learning media developed through Google Sites by applying the deep learning approach with a focus on the topic “Emulating the Role of Maulana Malik Ibrahim (Sunan Gresik) in Spreading Islam.” This study employs the Research and Development (R&D) method with the ADDIE development model, consisting of five systematic stages: analysis, design, development, implementation, and evaluation. Interactive, engaging, and easily accessible learning materials were developed through the Google Sites platform. After the validation process, trials were conducted by media and material experts through individual, small-group, and field testing. The research results showed that the media obtained an average score of 79.4% from media experts (valid with minor revisions), 100% from material experts (highly valid), 86% from small-group trials (highly feasible), and 92% from field trials (highly feasible). These findings indicate that the web-based learning model with a deep learning approach is practical, effective, and suitable for use in Islamic Religious Education. Through its interactive features and appealing visual design, this media can enhance students’ motivation, understanding, and participation while providing opportunities for independent learning. Moreover, the developed product assists educators in delivering material innovatively and facilitates students to learn anytime and anywhere, thereby improving learning outcomes and creating meaningful and enjoyable educational experiences.