Speeded Up Robust Features Algorithm on Augmented Reality for Sirah Nabawiyah Learning Media

Abstract

Based on the survey results, 85% of young children do not know about the history of the prophet or the miracles that were revealed to the prophet. Studying the history of the prophet is an embodiment of the 4th pillar of faith, namely Faith in the Prophet. Given the urgency, several learning media in various forms have been created and marketed to introduce Sirah nabawiyah, one of which is Augmented Reality. This study aims to build an application to recognize the history of the prophet using Augmented Reality. The Speeded Up Robust Features (SURF) algorithm is applied to detect AR markers. Based on the effectiveness test results, the application can display objects with an average time of 0.17 seconds for a distance of 10 cm, 0.23 seconds for a distance of 20 cm, and 0.34 seconds for a distance of 30 cm. This shows that the algorithm can function well in detecting objects.