Augmented Reality Pengenalan Hewan Berdasarkan Kelompok Makanan

Hanafi, M. (2019) Augmented Reality Pengenalan Hewan Berdasarkan Kelompok Makanan. Other thesis, Universitas Islam Riau.

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Abstract

Introducing natural science in the theme of animal classification based on food groups, can enrich children's insight. In the sub-theme of the study of natural science animal recognition based on food groups is done using methods such as presentations, group activities, and tests. Now studying animal species based on their food groups can only be studied briefly at school. Alternatives that can be used to help understand the concept of animal classification based on food groups outside of school activities are needed. The purpose of this study is to utilize increasingly advanced technology as a learning medium. This research develops animal recognition applications based on food groups with augmented reality as a means to be able to provide education to students with different media in order to increase students' interest in learning. This application uses the kudan library and that is capable of displaying 3D animal objects with markerless techniques in the form of augmented reality. The final result of this research is an application that can be run on a smartphone with an Android operating system, based on the results of testing on the application it is known that this application can display 3D objects in dim light with a light intensity of 35 lux at a distance of 10cm-60cm and a viewing angle of 10 ° -90 °, after an assessment of the application of 98% of the correspondents stated that this application is good, then this application can be used as an alternative media that can help students relearn the sub themes of science learning about animals based on their food besides school.

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