Anggara, Wahyu (2024) Media Pembelajaran Perkembangbiakan pada Hewan Menggunakan Augmented Reality (AR). Other thesis, Universitas Islam Riau.
![]() |
Text
193510145.pdf - Submitted Version Download (5MB) |
Abstract
Animal breeding is one of the main characteristics of animals as living creatures so that certain types of animals avoid extinction. Animal methods of reproduction are divided into two categories, namely generative (sexual) and vegetative (asexual). Such as the process of fetal development in the womb of a female animal, embryo development in an egg, the process that occurs in ovoviviparous animals (laying eggs and giving birth), the fragmentation process, the process of animals dividing themselves, and the growth process in hydra animals in the sea. One of the problems that occurs is that students experience difficulty in understanding the process of animal breeding because the material looks complicated pretty much and the lack of supporting learning media makes it difficult for students to understand, therefore there is a need for innovative learning media by introducing augmented reality technology which creates a better learning experience. dynamic and interesting, increases student involvement in the learning process and can be used anywhere and anytime without internet quota. The application was created using Blender and Unity with markerless techniques and using library ARCoreSDK. Application development is also made using the MDLC method. Based on testing at a distance of 25 cm to 200 cm, 3D objects can be displayed well, animated 3D objects can be displayed indoors and outdoors and can detect marker locations anywhere with light intensity requirements above 15 lux. For the system implementation value, it got a percentage score of 88,33% with an index of "Very Good".
Item Type: | Thesis (Other) |
---|---|
Contributors: | Contribution Contributors NIDN/NIDK Sponsor Rosa, Sri Listia 1015047503 |
Uncontrolled Keywords: | Animal Breeding, Augmented Reality, MDLC Method, Markerless, Unity, ARCore SDK Library |
Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
Divisions: | > Teknik Informatika |
Depositing User: | Uthi kurnia S.IP |
Date Deposited: | 10 Sep 2025 06:29 |
Last Modified: | 10 Sep 2025 06:29 |
URI: | https://repository.uir.ac.id/id/eprint/28576 |
Actions (login required)
![]() |
View Item |