Media Pembelajaran Pengenalan Tokoh Wayang Kulit Menggunakan Metode Convolutional Neural Network

Wicaksono, Danu (2024) Media Pembelajaran Pengenalan Tokoh Wayang Kulit Menggunakan Metode Convolutional Neural Network. Undergraduate thesis, Politeknik Negeri Jember.

[img] Text (Ringkasan / Abstract)
Abstract.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (149kB)
[img] Text (Bab 1 Pendahuluan)
Bab 1 Pendahuluan.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (165kB)
[img] Text (Daftar Pustaka)
Daftar Pustaka.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (217kB)
[img] Text (Laporan Lengkap)
Laporan Lengkap.pdf - Submitted Version
Restricted to Registered users only

Download (3MB) | Request a copy

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)
Contributors:
ContributionContributorsNIDN/NIDK
Thesis advisorEtikasari, BetyNIDN0028059202
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
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

Actions (login required)

View Item View Item