Aplikasi pembelajaaran Imla menggugunakan algoritma Fast Corner Detection dan Natural Feature Tracking berbasis Augmented Reality

Minarni, Yunita (2023) Aplikasi pembelajaaran Imla menggugunakan algoritma Fast Corner Detection dan Natural Feature Tracking berbasis Augmented Reality. Sarjana thesis, UIN Sunan Gunung Djati Bandung.

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Abstract

Madrasah Diniyyah Takmiliyah is non-formal education that focuses on Islamic religious education, one of which is studying imla. Imla is a subject that studies how to express language through Arabic writing. Early childhood children who study at Madrasah Diniyyah Takmiliyah are considered to have difficulty writing Arabic, one of the reasons is that there are no tools to optimize IMLA learning other than coming and studying with teachers at the madrasah. Therefore, Augmented Reality technology is used to be used as a medium for learning IMLA with the hope of making it easier for students to learn IMLA and increasing students' interest and motivation in studying Arabic writing. In the marker detection process using the Fast Corener Detection algorithm and Natural Feature Tracking with the MDLC method. The detected marker will display a 3D object and users can listen to audio from the marker. The tests carried out in this research were alpha and beta testing using a questionnaire. The results of the alpha testing can be concluded that the Imla Learning application using the Fast Corner Detection and Natural Feature Tracking Algorithm based on Augmented Reality which was built is in accordance with what was expected, namely the application can display 3D objects and play audio. Beta testing was carried out on 30 respondents. Respondents strongly agreed that the application designed could display 3D objects. It is hoped that this application will be able to help make the learning process more interesting. This research produces an IMLA learning application using augmented reality technology.

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