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      PENGEMBANGAN SISTEM INSTRUMENTASI PEMBERI PAKAN AYAM BERBASIS MACHINE LEARNING DAN INTERNET OF THINGS

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      Date
      2026
      Jenis/Type
      Skripsi
      Author
      RAMAGHANIS, NURTADHA
      Zuhri, Mahfuddin
      Setiawan, Ardian Arif
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      Abstract
      Sistem pemberian pakan pada peternakan unggas skala kecil umumnya masih dilakukan secara manual sehingga menimbulkan ketidakpastian jumlah pakan dan meningkatnya beban kerja peternak. Penelitian ini mengembangkan sistem kontrol pakan ayam otomatis berbasis deteksi visual menggunakan Jetson Nano sebagai akselerator kecerdasan buatan dan Arduino Uno sebagai aktuator mekanisme pembukaan–penutupan pakan. Kamera digunakan untuk akuisisi citra, kemudian Jetson Nano melakukan pemrosesan citra guna menilai ketersediaan pakan dan mengirimkan hasil analisis ke Arduino melalui komunikasi serial untuk menggerakkan servo. Sistem juga memanfaatkan Internet of Things (IoT) untuk pemantauan kondisi pakan secara daring. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi sisa pakan secara real time dan mengoperasikan servo berdasarkan ambang batas tertentu. Integrasi Jetson Nano dan Arduino memberikan respon sistem yang stabil serta berpotensi mendukung penerapan peternakan presisi.
       
      The feeding system in small-scale poultry farms is generally still done manually, resulting in uncertainty in the amount of feed and increasing the workload of farmers. This study developed an automatic chicken feed control system based on visual detection using Jetson Nano as an artificial intelligence accelerator and Arduino Uno as an actuator for the feed opening-closing mechanism. A camera is used for image acquisition, then Jetson Nano performs image processing to assess feed availability and sends the analysis results to Arduino via serial communication to drive the servo. The system also utilizes the Internet of Things (IoT) for online feed condition monitoring. Test results show that the system is able to detect remaining feed in real time and operate the servo based on a certain threshold. The integration of Jetson Nano and Arduino provides a stable system response and has the potential to support the application of precision farming.
       
      URI
      http://repository.ipb.ac.id/handle/123456789/173573
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