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SISTEM PAKAR DIAGNOSA PENYAKIT AYAM BROILER MENGGUNAKAN METODE CASE-BASED REASONING DENGAN SIMILARITAS FAITH

KAMIL, MUHAMMAD TAUFIK (2021) SISTEM PAKAR DIAGNOSA PENYAKIT AYAM BROILER MENGGUNAKAN METODE CASE-BASED REASONING DENGAN SIMILARITAS FAITH. Undergraduate thesis, Universitas Stikubank.

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Abstract

Perkembangan budi daya pada ayam broiler bukan tanpa kendala terutama karena ayam broiler sekarang memiliki pertumbuhan bulu lebih sedikit dan mudah stress serta peka terhadap lingkungan. Hal tersebut harus dapat diantisipasi dari awal oleh peternak pada masa-masa pemeliharaan. Tidak semua peternak mengetahui tentang penyakit ayam broiler serta penyebabnya. Dengan adanya permasalahan tersebut penulis ingin membuat program kecerdasan buatan atau sistem pakar dengan menggunakan metode case-based reasoning dengan Similaritas Faith yang dapat membantu peternak ayam broiler untuk mengoptimalkan hasil produksinya. Representasi pengetahuan yang digunakan menggunakan representasi berbasis kasus (cased based reasoning), metode kedekatan menggunakan Faith dan program dibuat dengan menggunakan PHP dan MySQL. Sistem pakar diagnosa penyakit ayam broiler menggunakan metode case-based reasoning dengan similaritas Faith menghasilkan nilai akhir similaritas antara 0 (nol) sampai dengan 1 (satu). Hasil konsultasi akan menampilkan penyakit dengan similaritas Faith terbesar dan penyakit lainnya akan ditampung di tabel revise The development of broiler farming is not without problems, especially because broiler chickens now have less feather growth and are easily stressed and sensitive to the environment. This must be anticipated from the beginning by the farmer during the maintenance period. Not all breeders know about broiler chicken disease and its causes. With these problems the author wants to create an artificial intelligence program or expert system using the case-based reasoning method with the Faith approach which can help broiler breeders to optimize their production. The knowledge representation used is case-based reasoning, the proximity method uses Faith and the program is made using PHP and MySQL. An expert system for diagnosing broiler chickens using the case-based reasoning method with similarity Faith produces a final value of similarity between 0 (zero) to 1 (one). The results of the consultation will show the disease with the greatest Faith similarity and other incompetence will be accommodated on the review table.

Item Type: Thesis (Undergraduate)
Additional Information: SKR.I.05.01.2052 NIM 16.01.53.0127
Uncontrolled Keywords: Ayam Broiler, Sistem Pakar, Cased Based Reasoning, Faith Broiler Chicken, Expert System, Case Based Reasoning, Faith
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty / Institution: Fakultas Teknologi Informasi > Program Studi Teknik Informatika
Depositing User: Teteh Hayati
Date Deposited: 11 Nov 2021 02:29
Last Modified: 11 Nov 2021 02:29
URI: https://eprints.unisbank.ac.id/id/eprint/8051

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