Bahar, Zaiful (2018) Identifikasi Penyakit Pada Kambing Menggunakan Metode Fuzzy Tsukamoto. Sarjana thesis, Universitas Brawijaya.
Abstract
Kambing merupakan salah satu sumber protein hewani yang diminati oleh masyarakat Indonesia setelah sapi dan ayam. Namun, penyakit pada ternak kambing merupakan suatu hal penting yang harus diperhatikan, karena dapat menimbulkan kerugian bagi peternak bahkan dapat menyebabkan kematian ternak. Permasalahan mengenali gejala penyakit kambing dapat diselesaikan dengan menggunakan sistem. Maka dibuatlah sistem untuk mengidentifikasi penyakit pada kambing, sehingga peternak bisa mengetahui jenis penyakit yang menyerang dan menanganinya secara tepat. Metode yang digunakan adalah fuzzy tsukamoto. Metode Fuzzy Tsukamoto adalah salah satu metode yang dapat digunakan untuk mengolah nilai masukan gejala menjadi identifikasi penyakit. Langkah awal metode ini memasukkan nilai gejala penyakit. Kemudian melakukan perhitungan fuzzifikasi, perhitungan inferensi serta perhitungan defuzzifikasi. Berdasarkan hasil pengujian yang telah dilakukan dalam penelitian ini menghasilkan pengujian akurasi dari 50 data uji sebesar 94%.
English Abstract
Goats are one source of animal protein that Indonesians are interested in after cattle and chickens. However, the disease in goats is an important thing that must be considered, because it can cause losses for breeders can even lead to the death of livestock. The problem of recognizing symptoms of goat disease can be realized by using expert system. So the expert system was created to identify the disease in goat farms, so the breeder could know the type of disease that attacked and handled it appropriately. The method used is fuzzy tsukamoto. Fuzzy Tsukamoto's method is one method that can be used to process the input value of symptoms into disease identification. The first step of this method includes the value of symptoms of the disease. Then perform fuzzification calculations, inference calculations and defuzzification calculations. Based on the results of tests that have been done in this study resulted in accuracy testing of 50 test data of 94%.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FTIK/2018/774/051809194 |
| Uncontrolled Keywords: | Kambing, Gejala, Penyakit Kambing, Fuzzy Tsukamoto. Goats, Symptoms, Goat disease, Fuzzy Tsukamoto. |
| Subjects: | 000 Computer science, information and general works > 006 Special computer methods > 006.3 Artificial intelligence |
| Divisions: | Fakultas Ilmu Komputer > Teknik Informatika |
| Depositing User: | Budi Wahyono Wahyono |
| Date Deposited: | 15 Nov 2018 04:16 |
| Last Modified: | 22 Oct 2021 04:44 |
| URI: | http://repository.ub.ac.id/id/eprint/13824 |
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