Tampubolon, Lamsihar (2019) Aplikasi Pengenalan Hewan Amfibi Berdasarkan Kelompoknya Menggunakan Augmented Reality. Other thesis, Universitas Islam Riau.
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Abstract
Amphibians are animals that live in the largest natural, cold-blooded animals or commonly called poikiloterm. Children are users who will use this application, as a medium for learning. The purpose of this study is to utilize augmented reality technology as a learning medium in recognizing amphibian animals for children - children can help children get to know the various animals that exist, support with images to provide information from each type of animal and examples of sounds that produced from these animals. This application uses the Library and SDK which can display 3D animal form animations with groups that use markerless tracking techniques in the form of augmented reality. The results of the application of augmented reality technology, namely the introduction of amphibian animals based on groups can be run on smartphones with the Android operating system. After testing with a black box, the key functions in the application can run well and display the results that match the expected goals. Applications can display 3D animations of amphibian animals based on their groups quickly during the day and night, both indoors and outdoors. with the condition that the light intensity is above 40 lux at a minimum distance of 30 cm and a maximum distance of 2 m with an upper angle of 45o to 90o. After conducting research on the application 83.6% of the correspondents stated that the criteria were very good, this application could be used as a medium to find available amphibian animals.
Item Type: | Thesis (Other) |
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Uncontrolled Keywords: | Amphibious Animals, Children, Augmented Reality, Markerless, Kudan SDK Library. |
Subjects: | Q Science > QA Mathematics > QA76 Computer software |
Divisions: | > Teknik Informatika |
Depositing User: | Mohamad Habib Junaidi |
Date Deposited: | 14 Mar 2022 09:39 |
Last Modified: | 14 Mar 2022 09:39 |
URI: | http://repository.uir.ac.id/id/eprint/8647 |
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