Saiful, Alim (2024) KLASIFIKASI JENIS TELUR AYAM MENGGUNAKAN IOT DAN ALGORITMA SVM. Undergraduate thesis, Universitas 17 Agaustus 1945 Surabaya.
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Abstract
Telur memiliki peran penting dalam perekonomian Indonesia, berfungsi sebagai bahan pokok yang sering dikonsumsi oleh masyarakat. Ada beberapa jenis telur di Indonesia, baik telur lokal, telur ras murni, maupun telur yang dihasilkan secara genetik atau hasil persilangan antara 2 jenis ayam petelur. Untuk mengetahui jenis-jenis ini, dibutuhkan ahli yang berpengalaman di bidang peternakan hewan, terutama ayam, untuk mengetahui jenis telur apa itu. Namun, metode ini memerlukan waktu, yang tidak efisien dan cenderung kolektif. Oleh karena itu, para peneliti membuat sistem klasifikasi untuk jenis telur ayam menggunakan loT dan algoritma SVM dengan perangkat IoT menggunakan ESP32-CAM sebagai pengam,ilan gambar jarak jauh menggunakan smartphone, di mana hasil pengambilan gambar tersebut akan diklasifikasikan oleh algoritma SVM. Hasil dari sistem ini dapat mengklasifikasikan 3 jenis telur dengan tingkat akurasi 86%.
| Item Type: | Thesis (Undergraduate) |
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| Uncontrolled Keywords: | Eggs, ESP32-CAM, Telegram, SVM |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Fakultas Teknik > Program Studi Teknik Elektro |
| Depositing User: | 1452100020 SAIFUL ALIM |
| Date Deposited: | 17 Jun 2026 02:04 |
| Last Modified: | 17 Jun 2026 02:04 |
| URI: | http://repository.untag-sby.ac.id/id/eprint/40057 |
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