Case Based Reasoning Method untuk Sistem Pakar Diagnosa Penyakit Sapi


Irvan Muzakkir(1); Marniyati Husain Botutihe(2*);

(1) Universitas Ichsan Gorontalo
(2) Universitas Ichsan Gorontalo
(*) Corresponding Author

  

Abstract


This study discusses about the Application of Case Based Reasoning (CBR) Method for Expert Systems in Diagnosing Cattle Disease. Beginning with data collection by consulting experts in the Department of Agriculture in Animal Health, Pohuwato Regency. The data obtained in the form of data names of disease and symptom data. The data is obtained based on the steps of the CBR method calculation in order to obtain the results of the diagnosis and the solution provided for handling the disease. Researcher have analyzed and create program listings to build a system that will be used by farmers. Based on CBR calculations Scours case which has the lowest weight is 0.09 while the highest weight is owned by the Pink Eye case 1. In this process provides a solution to the similarity of the case weight from the old case to the new higher case. In the case of Pink Eye having a higher weight and positive exposure to pink eye disease, the solution given is the provision of anti-allergic, anti-biotic and vitamin. Based on the results obtained, it can be concluded that the application of the CBR method is good for using cattle disease and is very helpful for farmers in dealing with cattle disease.

 


Keywords


CBR; Scours; Pink Eye; Cattle Disease; Farmers

  
  

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doi  https://doi.org/10.33096/ilkom.v12i1.506.25-31
  

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References


Z. Mantau, Warda, D. Walangadi, F. S. I. Hiola, and Rosdiana, “Kajian Kebijakan Agribisnis Komoditas Unggulan Daerah di Provinsi Gorontalo,” 2012.

P. Ternak and K. Pohuwato, “Sumber : Dinas Peternakan dan Kesehatan Hewan Kabupaten Pohuwato,” 2015.

R. Adawiyah, S. Informasi, U. Sembilanbelas, and N. Kolaka, “Case Based Reasoning Untuk Diagnosis Penyakit Demam Berdarah,” vol. 1, no. 1, pp. 63–73, 2017.

R. Rika, “Sistem Pakar Konsep dan Teori.” p. 121, 2012.

Anonim. 2007. Case-Based Reasoning: Foundational Issues, Methodological Variations, and SystemApproaches. Artificial Intelligence Communications. IOS Press, Vol 7: 1 .

S Montani, LC Jain, Successful Case-Based Reasoning Applications-2.2, Berlin: Springer, 2010

BPS Kabupaten Pohuwato, “ Peternakan”, Kabupaten Pohuwato Dalam Angka 2019. 75030.1901. Pohuwato : BPS Kabupaten Pohuwato, 2019, Agriculture, Peternakan, 158

S. Mulyana, S. Hartati, R. Wardoyo, and E. Winarko, “Case-Based Reasoning for Selecting Study Program in Senior High School,” Int. J. Adv. Comput. Sci. Appl., vol. 6, no. 4, pp. 136–140, 2015, doi: 10.14569/ijacsa.2015.060418.

Direktorat Kesehatan Hewan, Manual Penyakit Hewan Mamalia. Cetakan Ke 2. Jakarta : Subdit Pengamatan Penyakit Hewan Direktorat Kesehatan Hewan, 2014

S. Nidhra, “Black Box and White Box Testing Techniques - A Literature Review,” Int. J. Embed. Syst. Appl., vol. 2, no. 2, pp. 29–50, 2012, doi: 10.5121/ijesa.2012.2204.

A. S. Rosa, M. Shalahudin, Rekayasa Perangkat Lunak (Terstruktur dan Berorientasi Objek). 2011. Bandung: Modula. 2011

S. Sibagariang, “Sistem Pakar Diagnosa Penyakit Sapi Dengan Metode,” vol. IV, no. 2, pp. 35–39, 2015.

R. Dwi Oktavianing Tyas and A. Andy Soebroto, “Pengembangan Sistem Pakar Diagnosa Penyakit Sapi Potong Dengan Metode Fuzzy K-Nearest Neighbour,” J. Enviromental Eng. Sustain. Technol., vol. 2, no. 1, pp. 58–66, 2015, doi: 10.21776/ub.jeest.2015.002.01.8.

I. Candra Dewi, A. Andy Soebroto, and M. Tanzil Furqon, “Sistem Pakar Diagnosa Penyakit Sapi Potong Dengan Metode Naive Bayes,” J. Enviromental Eng. Sustain. Technol., vol. 2, no. 2, pp. 72–78, 2015, doi: 10.21776/ub.jeest.2015.002.02.2.

A. Milzam, N. Hidayat, and M. C. Mahfud, “Sistem Pakar Diagnosis Penyakit Pada Sapi Menggunakan Metode Dempster-Shafer Berbasis Android,” vol. 2, no. 10, pp. 3767–3770, 2018.


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