Sistem Penjejak Mortalitas Penghitung Jumlah Ayam Broiler menggunakan Metode Deteksi Gerak

Rinjani, Aurelia (2021) Sistem Penjejak Mortalitas Penghitung Jumlah Ayam Broiler menggunakan Metode Deteksi Gerak. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

[img] Text
repository1_BUKU-PA_AureliaRinjani_10311710000073.pdf - Accepted Version
Restricted to Repository staff only until 1 October 2023.

Download (2MB) | Request a copy

Abstract

Peternakan ayam broiler sangat membutuhkan pemantauan terhadap hewan ternaknya. Banyak sedikitnya jumlah ternak juga dapat mempengaruhi besar kecilnya keuntungan. Dalam peternakan ayam broiler, penghitungan jumlah ayam umumnya didapat secara manual. Namun, faktor manusia yang memiliki penglihatan yang kurang awas sehingga dapat menimbulkan kesalahan dalam penghitungan. Untuk menyelesaikan masalah, dibuat sebuah sistem yang dapat menghitung jumlah dan penjejakan mortalitas ayam melalui rekaman video. Proyek akhir ini, menggunakan pengolahan citra dengan metode deteksi gerak untuk mendeteksi penjejakan dan jumlah ayam. Kemudian dilakukan penjejakan ayam yang didapatkan dari pergerakan ayam. Proses penjejakan dilakukan dengan menggunakan metode Euclidean Distance lalu dilakukan pemberian bounding box dan pelabelan dengan nomor ID ayam. Proses penghitungan jumlah ayam didapatkan melalui banyaknya jumlah bounding box yang terbaca. Kemudian proses penjejakan mortalitas didapatkan melalui selisih dari jumlah ayam saat masa pengisian dengan pembacaan jumlah ayam saat ini. Pengujian dilakukan dengan mengambil video yang berdurasi sekitar 15 detik. Video diambil dalam kandang ayam yang berisi 20 ekor ayam. Hasil pengujian menunjukkan bahwa sistem ini memiliki tingkat akurasi tertinggi sebesar 86,67%, dengan pembacaan jumlah ayam dalam 1 kandang dapat mencapai 15 ekor, dan perkiraan jumlah kematian ayam yang terdeteksi sebanyak 5 ekor. ==================================================================================================== Broiler farms are in dire need of monitoring their livestock. The large or small number of livestock can also affect the size of the profit. In broiler farming, the calculation of the number of chickens is generally obtained manually. However, the human factor has poor eyesight so that it can cause errors in calculations. To solve the problem, a system is created that can calculate the number and tracking of chicken mortality through video recordings. This final project uses image processing with motion detection method to detect tracking and number of chickens. Then do the tracking of the chicken obtained from the movement of the chicken. The tracking process is carried out using the Euclidean Distance method and then giving a bounding box and labeling it with the chicken ID number. The process of calculating the number of chickens is obtained through the large number of bounding boxes that are read. Then the process of tracking mortality is obtained through the difference between the number of chickens during the filling period and the reading of the current number of chickens. Testing is done by taking a video that is about 15 seconds long. The video was taken in a chicken coop containing 20 chickens. The test results show that this system has the highest accuracy rate of 86.67%, with the reading of the number of chickens in 1 cage can reach 15 birds, and the estimated number of chicken deaths detected is 5 chickens.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Ayam Broiler, Background Subtraction, Deteksi Gerak, Euclidean Distance, Pengolahan Citra. ======================================================================================== Background Subtraction, Broiler Chicken, Euclidean Distance, Image Processing, Motion Detection.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Q Science > QA Mathematics > QA76.6 Computer programming.
Q Science > QA Mathematics > QA76.76.S64 Software maintenance.
Q Science > QA Mathematics > QA76.87 Neural networks (Computer Science)
Q Science > QA Mathematics > QA76.9 Computer algorithms. Virtual Reality. Computer simulation.
Q Science > QA Mathematics > QA76.9.U83 Graphical user interfaces. User interfaces (Computer systems)--Design.
Q Science > QA Mathematics > QA9.58 Algorithms
S Agriculture > SF Animal culture
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7868.P6 Power supply
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7888.3 Digital computers
Divisions: Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User: Aurelia Rinjani
Date Deposited: 28 Aug 2021 01:12
Last Modified: 28 Aug 2021 01:12
URI: https://repository.its.ac.id/id/eprint/90843

Actions (login required)

View Item View Item