Application of the Certainty Factor and Forward Chaining Methods to a Goat Disease Expert System

Dwi Susanto(1*), Abdul Fadlil(2), Anton Yudhana(3),

(1) Universitas Ahmad Dahlan Yogyakarta
(2) Universitas Ahmad Dahlan Yogyakarta
(3) Universitas Ahmad Dahlan
(*) Corresponding Author


Goats are livestock that is financially very attractive to rural Indonesian. Efforts to solve problems related to goat farming are necessary. One of them is maintaining the health of the cattle by knowing how to cope with disease-stricken goats. Goat productivity will decrease if the treatment of the disease is sub-optimal. Goat diseases are very diverse, ranging from mild to severe. Breeders themselves can traditionally treat several diseases without the involvement of veterinarians or experts. However, a larger number of diseases need treatment with the help of experts. Expert systems are a potential solution to help farmers. It will automatically suggest decisions or conclusions in solving a problem. This study observes an expert system built using the Certainty Factor combined with Forward-Chaining. By combining the two methods, the information generated may discover the type of disease and suggest its management effectively with a high degree of certainty. The system can expectedly become a reference for goat breeders to consult about their goat livestock diseases. The knowledge base of the system uses 21 types of symptoms, eight types of diseases, and their solutions. The user does not need to input the belief value and the disbelief value that is usually input in the expert system. By involving the admin as a knowledge base processor, the correctness of the conveyed information maintains.


expert system; certainty factor; forward chaining; goats

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N. Seftiarin, “Studi Komparasi Pengelolaan Peternakan Kambing Peranakan Etawa (PE) Di Dusun Nganggring Dan Dusun Kebonan Di Kabupaten Sleman,” 2011.

R. Widyastuti, U. Padjadjaran, M. Ghozali, U. Padjadjaran, and M. R. A. A. Syamsunarno, “Article • January 2017,” no. April 2018, 2017.

M. Alkaff, H. Khatimi, and Y. Sari, “Android Based Expert Sistem To Detect Types of Adhd,” J. Teknol. Inf. dan Ilmu Komput., vol. 6, no. 2, pp. 135–140, 2019, doi: 10.25126/jtiik.201961265.

K. E. Setyaputri and A. Fadlil, “Analisis Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit THT,” J. Tek. Elektro, vol. 10, no. 1, pp. 30–35, 2018.

A. D. dkk Jatmiko, “Analisis Dan Implementasi Sistem Pakar Dengan Metode Case Based Reasoning Dan Rule Based Reasoning (Studi Kasus: Diagnosis Penyakit Demam Berdarah),” e-Proceeding Eng., vol. 4, no. 2, pp. 3269–3276, 2017.

S. Sadek and U. Usman, “Sistem Pakar Diagnosa Penyakit Pernafasan Menggunakan Metode Case Based Reasioning,” J. Ipteks Terap., vol. 11, no. 4, p. 272, 2017, doi: 10.22216/jit.2017.v11i3.1034.

Minarni and I. Warman, “Sistem Pakar Identifikasi Penyakit Tanaman Padi Menggunakan Case-Based Reasoning,” Semin. Nas. Apl. Teknol. Inf., no. 5 Agustus 2017 ISSN: 1907 – 5022, pp. 28–32, 2017.

D. T. Yuwono, A. Fadlil, and S. Sunardi, “Penerapan Metode Forward Chaining Dan Certainty Factor Pada Sistem Pakar Diagnosa Hama Anggrek Coelogyne Pandurata,” Klik - Kumpul. J. Ilmu Komput., vol. 4, no. 2, p. 136, 2017, doi: 10.20527/klik.v4i2.89.

I. Akil, “Analisa Efektifitas Metode Forward Chaining Dan Backward Chaining Pada Sistem Pakar,” None, vol. 13, no. 1, pp. 35–42, 2017.

S. A. Lestari and R. I. Handayani, “Sistem Pakar Untuk Menentukan Bakat Anak Berdasarkan Kepribadian Menggunakan Model Forward Chaining,” Bina Insa. Ict J., vol. 4, no. 1, pp. 47–56, 2017.

I. Apriliya and I. Wahyuni, “Sistem Diagnosis Penyakit pada Kambing Menggunakan Metode Forward Chaining,” J. Ilm. Teknol. Inf. Asia, vol. 11, no. 2, p. 113, 2017, doi: 10.32815/jitika.v11i2.190.

W. R. Ferdiansyah, L. Muflikhah, and S. Adinugroho, “Sistem Pakar Diagnosis Penyakit Pada Kambing Menggunakan Metode Naive Bayes dan Certainty Factor,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2, no. 2, pp. 451–458, 2018.

A. Susanto, and M. Sitanggang. (2015) "Mengatasi Permasalahan Praktis Beternak Kambing," Penerbit Agro Media Pustaka, Jakarta Selatan 2015.

Siswaya, Sunardi, and A. Yudhana, “Sistem Pakar Sebagai Pengendali Lampu Lalu-Lintas Pada Persimpangan Jalan Menggunakan Fuzzy Logic Berbasis Android,” Snst, vol. 9, pp. 220–225, 2018.

Sunardi, A. Yudhana, and S. Saifullah, “Identity analysis of egg based on digital and thermal imaging: Image processing and counting object concept,” Int. J. Electr. Comput. Eng., vol. 7, no. 1, pp. 200–208, 2017, doi: 10.11591/ijece.v7i1.pp200-208.

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