Albert Christian, . (2024) PEMODELAN MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK UNTUK IDENTIFIKASI OBJEK BURUNG MERAK HIJAU. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The green peacock, also known as Pavo muticus, is an endemic bird species that inhabits the island of Java in Indonesia. This bird is part of Indonesia's natural and cultural heritage. However, the green peacock was declared endangered by the IUCN in 2018. Therefore, in an effort to conserve the green peacock, a study was conducted to develop a deep learning model using the CNN VGG16 method, which achieved an accuracy evaluation of 98.7%. In comparison, previous research using the Inception ResNet-V2 CNN architecture for bird species detection had a highest accuracy of 98.28%. In this study, the accuracy was superior.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1810511028] [Pembimbing: Iin Ernawati] [Penguji 1: Indra Permana Solihin] [Penguji 2: Nurul Afifah Arifuddin] |
| Uncontrolled Keywords: | Green Peacock, Image Processing, Classification, CNN |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | ALBERT CHRISTIAN |
| Date Deposited: | 19 Feb 2025 02:19 |
| Last Modified: | 19 Feb 2025 02:19 |
| URI: | http://repository.upnvj.ac.id/id/eprint/35923 |
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