Jurnal
Application of Fine-Tuning on Convolutional Neural Networks to Improve Classification Accuracy of Feline Skin Diseases
Jurnal Penelitian Pendidikan · Vol. 43 No. 1 (2026) · hlm. 65–72
- ISSN
- 2580-4154, 2503-1260
- Terbit
- 2026-04-30
- Penerbit
- Universitas Negeri Semarang
- Bahasa
- eng
Abstrak
Skin conditions are among the most frequent reasons for veterinary visits, yet they remain notoriously difficult to distinguish by eye alone. For the average pet owner or general practitioner, overlapping visual symptoms between diseases like ringworm and scabies often lead to diagnostic uncertainty. This study addresses this challenge by developing an automated classification system based on the MobileNetV2 architecture. By employing a two-stage transfer learning strategy, where initial feature extraction is followed by targeted fine-tuning of layers from index 100 onwards, we adapted a general-purpose model to the specific nuances of veterinary dermatology. Our results indicate a significant performance leap: while standard training struggled with the complexities of skin textures, the fine-tuned model achieved a validation accuracy of 92%. These findings suggest that fine-tuning is not just a technical optimization, but a necessary step in making deep learning a viable, accessible tool for real-world veterinary diagnostics.
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40 penulis · 96 tautan kepenulisan bersama · 8 lintas organisasi · menampilkan 40 yang paling banyak terhubung
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- State University of Semarang
- International Islamic University Malaysia
- Universitas PGRI Palembang
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| Rekan penulis | Organisasi | Artikel bersama |
|---|---|---|
| Endang Sugiharti | State University of Semarang | 5 |
| Florentina Yuni Arini | State University of Semarang | 3 |
| Rochmad Rochmad | International Islamic University Malaysia | 3 |
| Amin Suyitno | State University of Semarang | 3 |
| Alamsyah Alamsyah | State University of Semarang | 2 |
| Novanka Agnes Sekartaji | State University of Semarang | 2 |
| Irfan Fajar Muttaqin | State University of Semarang | 2 |
| Ramadhan Ridho Arrohman | State University of Semarang | 2 |
| Dwijanto Dwijanto | State University of Semarang | 2 |
| Putriaji Hendikawati | State University of Semarang | 2 |
| Budi Prasetiyo | State University of Semarang | 1 |
| Much Aziz Muslim | State University of Semarang | 1 |
| Jumanto Jumanto | State University of Semarang | 1 |
| Rofik Rofik | State University of Semarang | 1 |
| Arif Widiyatmoko | State University of Semarang | 1 |
| Stephani Diah Pamelasari | State University of Semarang | 1 |
| Arka Yanitama | State University of Semarang | 1 |
| Melissa Salma Darmawan | State University of Semarang | 1 |
| Aji Saputra | Universitas PGRI Palembang | 1 |
| Desy Fitria Astutianingtyas | Afiliasi tidak diketahui | 1 |
| Anggyi Trisnawan Putra | State University of Semarang | 1 |
| Athoillah Athoillah | State University of Semarang | 1 |
| Kholiq Budiman | Afiliasi tidak diketahui | 1 |
| Anggyi Trisnawan Putra | Afiliasi tidak diketahui | 1 |
| zaenal abidin | Afiliasi tidak diketahui | 1 |
| Anggoro Sakti Anindhito | State University of Semarang | 1 |
| Fajar Sujito | Afiliasi tidak diketahui | 1 |
| Anita Wahyu Melinda | Afiliasi tidak diketahui | 1 |
| Isa Akhlis | State University of Semarang | 1 |
| Achmad Wahyu Hidayat | Afiliasi tidak diketahui | 1 |
| Dian Rahman Syahputra | Afiliasi tidak diketahui | 1 |
| Safit Firmansyah | Afiliasi tidak diketahui | 1 |
| Anggil Agusta | Afiliasi tidak diketahui | 1 |
| Fachrizal Ahdy Andoyo | State University of Semarang | 1 |
| Margareta Ayu Riantik | State University of Semarang | 1 |
| Dandi Indra Wijaya | Afiliasi tidak diketahui | 1 |
| Hanif Nur Cahyani | Afiliasi tidak diketahui | 1 |
| Andhika Seno Tamtama | Afiliasi tidak diketahui | 1 |
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