Wicaksono, Danu (2024) Media Pembelajaran Pengenalan Tokoh Wayang Kulit Menggunakan Metode Convolutional Neural Network. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
This study aims to develop a learning media for recognizing wayang kulit characters using the Convolutional Neural Network (CNN) method with MobileNetV2 architecture on mobile platforms in real-time. The background of this research is motivated by the importance of preserving wayang kulit culture, which is increasingly losing popularity, especially among younger generations and students. Despite its high philosophical and moral values and being recognized as a world cultural heritage by UNESCO, interest in this art form has declined due to technological advancements and foreign cultures. This research offers a solution by leveraging technology to make wayang kulit learning more engaging and interactive. The results of the study show that the developed media achieved the highest accuracy rate of 82% on test data, 75% during validation, and 74% in direct testing.
Item Type: | Thesis (Undergraduate) | ||||||
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Uncontrolled Keywords: | wayang kulit, Convolutional Neural Network (CNN), MobileNet, pembelajaran interaktif, pelestarian budaya, aplikasi mobile. | ||||||
Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 459 - Ilmu Komputer 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 461 - Sistem Informasi 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 463 - Teknik Perangkat Lunak |
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Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
Depositing User: | Danu Wicaksono | ||||||
Date Deposited: | 15 Jul 2024 03:44 | ||||||
Last Modified: | 15 Jul 2024 03:45 | ||||||
URI: | https://sipora.polije.ac.id/id/eprint/34105 |
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