Syafrilia, Maghfira Rizky (2022) Media Pembelajaran Pengenalan Hewan Sesuai Jenis Pangan Berbasis Augmented Reality (Learning Media for Animal Recognition According to Augmented Reality-Based Food). Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.
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Abstract
Indonesia adalah Negeri yang kayaakan beragam satwa flora maupun fauna yang terpencar diberbagai macam daerah di Indonesia. Terutama satwa fauna atau hewan yang memiliki beraneka ragam jenis yang dapat ditemukan di berbagai daerah dengan ciri khas hewan pada daerah-daerah tersebut di habitat mereka. Pengenalan hewan berdasarkan jenis makanannya seringkali dilakukan menggunakan metode seperti yang ada di sekolah yakni seperti presentasi, kegiatan kelompok, dan juga ujian-ujian pada materi yang telah diajarkan maka dari itu dibutuhkan media pembelajaran yang efektif seperti halnya dibuatkan aplikasi pembelajaran perangkat bergerak seperti ponsel, laptop dan semacamnya. Augmented Reality (AR) dengan menggunakan Spark AR dimana Spark AR adalah platform teknologi yang lagi berkembang pesat, untuk bisa diaplikasikan pada perangkat Android dengan menggunakan fungsi adanya marker yaitu untuk memunculkan sebuah objek 3D yang kemudian ditampilkan ke layar monitor smarthphone. Dari hasil implementasi yang didapatkan dengan melakukan uji coba filter ke 30 responden yang menghasilkan nilai 71,75% dan termasuk dalam kategori Acceptable yang artinya (dapat diterima dengan baik oleh pengguna) dapat dikatakan aplikasi filter pengenalan hewan ini tepat digunakan sebagai Media Pembelajaran baru dan membuat pengguna lebih mudah memahami materi ini. Kata Kunci: Augmented Reality (AR), Media Pembelajaran, Hewan, Spark AR, Marker
| Item Type: | Thesis (Undergraduate) |
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| Uncontrolled Keywords: | Augmented Reality (AR), Media Pembelajaran, Hewan, Spark AR, Marker |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Teknik > Program Studi Teknik Informatika |
| Depositing User: | TK- Maghfira Rizky |
| Date Deposited: | 31 Aug 2022 03:56 |
| Last Modified: | 31 Aug 2022 03:56 |
| URI: | http://repository.untag-sby.ac.id/id/eprint/17694 |
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