Yusuf Maulana, . (2024) IDENTIFIKASI PENYAKIT KULIT PSORIASIS MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWOTK DENGAN ARSITEKTUR VGG16. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The skin is the largest organ that covers the bodies of humans and animals, functioning as a barrier against infections, ultraviolet rays, and injuries. Additionally, the skin plays a role in maintaining balanced body temperature by sweating or constricting blood vessels. There are various types of diseases that can affect the skin, one of which is psoriasis. Psoriasis is a chronic skin inflammation caused by genetic and autoimmune factors. It is characterized by a very rapid regeneration of skin cells, resulting in thick skin with rough scales. Although the exact cause is not known, theories suggest that stress, throat infections, and extreme weather changes can influence this disease. This research is expected to be useful for the public to be more aware of skin diseases, particularly psoriasis. In the field of image processing, Convolutional Neural Network (CNN) is an effective method for image recognition. CNN mimics the image recognition system in the human visual cortex. The use of CNN has resulted in significant improvements in digital image recognition. Recent studies also show that CNN can be used to improve the accuracy of acne detection, proving its effectiveness in the field of dermatology. For these reasons, the author uses the CNN method in this research. Data partitioning with a ratio of 80:10:10 for training, validation, and testing data yielded an accuracy result in this research of 95% for training accuracy and 87% for validation accuracy.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1910511072] [Pembimbing 1: Jayanta] [Pembimbing 2 :Musthofa Galih Pradana] [Penguji 1: Neny Rosmawarni] [Penguji 2: Ika Nurlaili Isnainiyah] |
| Uncontrolled Keywords: | skin, psoriasis, skin disease, Convolutional Neural Network. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | YUSUF MAULANA |
| Date Deposited: | 26 Sep 2024 07:19 |
| Last Modified: | 26 Sep 2024 07:19 |
| URI: | http://repository.upnvj.ac.id/id/eprint/31841 |
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