Dog Disease Expert System Using Certainty Factor Method

Dog Disease Expert System Using Certainty Factor Method

• By Marlinda, Linda; Widiyawati; Indrarti, Wahyu; Widiastuti, Reni;
• Jurnal Nasional Terakreditasi
• 308
• 98-105

Many animal keepers at home who do not know the disease contained in

the animal's body. Especially for dogs, the lack of information begins to provide care, hygiene, vaccinations for the health of pet dogs and sickles that will be caused by dogs to their owners. Expert systems can provide solutions to the lack of information obtained by pet dog owners, especially dogs. With this expert system, the owner can know the dog's disease and realize the right prevention in treatment. In this paper 25, physical symptoms of the disease are used and found 8 types of common dog diseases. Five options are given to answer the calculation question using each method: no, quite sure, sure enough, certain, and certainty sure. Accuracy Analysis of each method is tested by assessing the results of each analysis method based on user feedback. The results of this

study are the application of an expert system that can diagnose dogs using herbal medicines from plants. The purpose of this study is to implement the certainty factor method in the diagnosis system of canine diseases that can provide space in providing value confidence in knowledge. The conclusion in this study will show some questions as indicators of the characteristics of canine disease, until the final question. The conclusion of the study using the certainty factor method will show the characteristics of the disease in dogs. By being obtained from Rabies (0.9) with easy to get angry refuse nomal food; Hepatitis (0,9) with swelling of the liver occurs; Distemser (0,8) with stomach part blister and festering discharge from the eye; canine parvorius (0,8) with loss of appetite and poop there is blood, herpes virus (0,8) with often roared and complaints, papilomatosis (0,9) with Smelly dog breath, and leptospirosis (0,7) with complaints, and Dirofilaria Immitis (0,9) with Unstable body temperature.

• Katakunci Expert System, Dog Disease, Certainty Factor (CF )
• URL http://www.polgan.ac.id/jurnal/index.php/sinkron/article/view/10538/346
• Penerbit ,

REFERENSI

Hasibuan, N. A., Sunandar, H., Alas, S., & Suginam, S. (2017). Sistem Pakar Mendiagnosa Penyakit Kaki Gajah Menggunakan Metode Certainty Factor.

Jurasik (Jurnal Riset Sistem Informasi Dan Teknik Informatika), 2 (1), 29.

https://doi.org/10.30645/jurasik.v2i1.16

Kim, Y. H., Choi, G. J., & Park, C. (2018). Rate of left ventricular pressure change by Doppler echocardiography in dogs with chronic mitral valve disease at different stages of congestive heart failure. Veterinary Radiology and Ultrasound, 59 (6), 758–766. https://doi.org/10.1111/vru.12664

Kristyanto, P. H., & Suria, O. (n.d.). Sistem Pakar Diagnosa Penyakit Kulit Pada Anjing Ras Dengan Metode Teorema Bayes Expert System for Diagnosting Dog Skin Diseases Using Bayes Method, 11–20.

Kristyanto, P. H., & Suria , O. (2018). Sistem Pakar Diagnosa Penyakit Kulit Pada Anjing Ras Dengan Metode Teorema Bayes. JMAI (Jurnal Multimedia & Artificial Intelligence), 2 (2), 11–20. https://doi.org/10.26486/jmai.v2i2.77

Kurniati, N. I., Mubarok, H., & Fauziah, D. (2018). Sistem Pakar Untuk Mendiagnosa Penyakit Hewan Peliharaan Menggunakan Metode Certainty Factor. Jurnal Teknik Informatika Dan Sistem Informasi,4(1).

https://doi.org/10.28932/jutisi.v4i1.708

Maniaki, E., & Finch, N. (2018). Chronic kidney disease in cats and dogs: Managing proteinuria. In Practice, 40 (7), 266–280.

https://doi.org/10.1136/inp.k3410

Marlinda, L., Saputra, D., & Indrarti, W. (2019). Expert System Identification Of Learning Patterns The VARK Method. SinkrOn, 3(2), 205.

https://doi.org/10.33395/sinkron.v3i2.10091

Marselena, S., Labellapansa, A., & Syukur, A. (2018). Penalaran Berbasis Aturan Untuk Diagnosa Awal Penyakit Anjing Menggunakan Teorema Bayes.

Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 2(2), 530–535. https://doi.org/10.29207/resti.v2i2.454

Munirah, M. Y., Suriawati, S., & Teresa, P. P. (2016). Design and Development of Online Dog Diseases Diagnosing System. International Journal of Information and Education Technology, 6(11), 913–916. https://doi.org/10.7763/ijiet.2016.v6.816

Muttaqin, I. A. (2019). Aplikasi Diagnosa Penyakit Anjing Berbasis Web Menggunakan, 3(1), 372–379.

Septiani, M., & Kuryanti, S. J. (2019). Sistem Pakar untuk Mendiagnosa Penyakit

Saluran Pernapasan pada Anak, 2(April 2018), 23–27.

Setyaputri, K. E., Fadlil, A., & Sunardi, S. (2018). Analisis Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit THT. Jurnal Teknik Elektro, 10

(1), 30–35. https://doi.org/10.15294/jte.v10i1.14031

Sihotang, H. T. (2014). Sistem Pakar Mendiagnosa Penyakit Kolesterol Pada Remaja Dengan Metode Certainty Factor (Cf) Berbasis Web. Jurnal Mantik Penusa, 15(1), 16–23. Retrieved from

http://e-jurnal.pelitanusantara.ac.id/index.php/mantik/article/view/161

Suhery, C., Midyanti, D. M., & Hidayati, R. (2018). Sistem Pakar Diagnosa Penyakit Rabies Pada Anjing Menggunakan Metode Forward Chaining.

Seminar Nasional Teknologi Informasi Informasi Dan Multimedia 2018, 19

–24.

Eka Setyarini, The Analysis of Comparison of Expert System of Diagnosing Dog Disease by Certainty Factor Method and Dempster-Shafer Method. (2013).

International Journal of Computer Science Issues, 10(1), 576–584.

Tse, C., Bullard, J., Rusk, R., Douma, D., & Plourde, P.    (2019).    Surveillance    of    Echinococcus tapeworm  in  coyotes  and  domestic  dogs  in Winnipeg,  Manitoba. Canada  Communicable Disease Report, 45(7/8), 171–176.

https://doi.org/10.14745/ccdr.v45i78a01