Athqia, Silmi Azdkiatul (2023) Pengenalan Tari Tradisional Indonesia dengan Augmented Reality menggunakan algoritma Fast Corner Detection. Sarjana thesis, UIN Sunan Gunung Djati Bandung.
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Abstract
INDONESIA : Tari tradisional Indonesia adalah warisan yang kaya dan beragam dari budaya kita. Data SUSENAS MSBP 2021 menunjukkan bahwa 8,2 persen masyarakat Indonesia telah melihat pertunjukan tari tradisional Indonesia dalam tiga tahun terakhir. Angka ini menunjukkan bahwa seni tari tradisional, yang merupakan bagian dari kekayaan budaya bangsa, tidak diminati atau dihargai. Penelitian ini mengembangkan aplikasi Augmented Reality Markerless yang dapat menampilkan objek dan suara tari tradisional Indonesia dengan berbagai sudut dan jarak. Teknologi ini menggunakan objek yang ada di dunia nyata sebagai marker. Metode pengembangan perangkat lunak prototype digunakan dalam penelitian ini. Pengujian Alpha dan Beta menunjukkan bahwa sistem sesuai dengan perancangan awal dan beroperasi dengan baik. Pengujian Beta menunjukkan bahwa pengguna menanggapi aplikasi dengan baik dan mudah digunakan. Dengan menggunakan teknologi Augmented Reality Markerless, penelitian ini membantu melestarikan dan mempromosikan tari tradisional Indonesia. ENGLISH : Indonesian traditional dance is a rich and diverse heritage of our culture. SUSENAS MSBP 2021 data shows that 8.2 percent of Indonesians have seen traditional Indonesian dance performances in the last three years. These figures indicate that the traditional dance art, which is part of the nation's cultural wealth, is not in demand or appreciated. This research developed an augmented reality markerless application that can display traditional Indonesian dance objects and sounds from different angles and distances. This technology uses objects in the real world as markers. The prototype software development method is used in this research. Alpha and beta testing showed that the system was in line with its initial design and operated well. Beta testing shows that users responded well to the application, which was easy to use. Using augmented reality markerless technology, the research helps preserve and promote Indonesian traditional dance.
| Item Type: | Thesis (Sarjana) |
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| Uncontrolled Keywords: | Augmented Reality; FAST Corner Detection; Markerless; Tari Tradisional Indonesia |
| Subjects: | Special Computer Methods > Three Dimensional Graphics, 3-D Special Computer Methods > Multimedia Systems Indoor Game and Amusements > Geographic Treatment of Folk Dancing Indoor Game and Amusements > Folk Dancing of Indonesia |
| Divisions: | Fakultas Sains dan Teknologi > Program Studi Teknik Informatika |
| Depositing User: | Silmi Azdkiatul Athqia |
| Date Deposited: | 21 Sep 2023 01:10 |
| Last Modified: | 21 Sep 2023 01:10 |
| URI: | https://digilib.uinsgd.ac.id/id/eprint/78354 |
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