Transformasi Pendidikan MTsN 2 Kota Malang dengan Deep Learning
Keywords:
Convolutional Neural Network, Deep Learning, Educational Technology, Interactive Learning, Quality of EducationAbstract
This community service activity aims to introduce and implement deep learning technology through interactive learning applications at MTsN 2 Malang City. Deep learning, particularly through the application of Convolutional Neural Network (CNN), is used to create educational media that can recognize images, text, and sound in the context of learning for middle school students. The implementation method includes classroom observation, the development of CNN-based systems, training for teachers, and the implementation of this technology in the daily teaching and learning process. The results obtained showed an increase in student involvement and interest in learning, with ease for teachers to deliver learning materials. In addition, the participation of parents and teachers has also increased significantly. Of the 80 students involved in the implementation of this technology, image recognition and interaction skills increased by 30%, from the previous 55% to 85%. The application of this technology has been proven to have a positive impact on the teaching and learning process, improving the quality of education and interaction between students, teachers, and parents. Therefore, this activity shows that the application of artificial intelligence (AI) technology, especially deep learning, has enormous potential in improving the quality of education, especially at the secondary education level.
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