56 Daftar Pustaka
Aamodt, A., dan Plaza, E., 1994., Case-Based Reasoning : Foundational Issues, Methodological Variation, and System Approaches, AI Communications IOS, vol. 7, 33-59.
Abdelwahed, M.F., Mohamed, A.E., dan Saleh, M.A., 2020., Solving the motion planning problem using learning experience through case-based reasoning and machine learning algoritms, Ain Shams Engineering Journal, vol.11, 133-142.
Adawiyah, Rabiah., 2018., Case Based Reasoning Diagnosis Hama dan Penyakit Tanaman Nilam, INTENSIF, vol. 2(1).
Afandi, A., dan Efendi, D.M., 2021., Sistem Pakar Forward Chaining, Fuzzy-Max dan Certainty Factor Ayam Pedaging, Jurnal Informatika, vol. 21(1).
Anggrawan, A., Satuang, dan Abdillah, M.N., 2020., Sistem Pakar Diagnosa Penyakit Ayam Broiler Menggunakan Fordward Chaining dan Certainty Factor, Matrik: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 20(1), 97-180.
Astiti, N.M.A.G.R, 2018., Pengantar Ilmu Peternakan, Universitas Warmadewa, Denpasar.
Banakar, A., Sadeghi, M., dan Shushtari, A., 2016., An intelligent device for diagnosing avian diseases: Newcastle, infectious bronchitis, avian influenza, Journal Computers and Electronic in Agriculture, vol. 127, 744-753.
Binanto, I., Spits, H.L.H., Sianipar, N.F, Lucas., dan Sancez, H.E.P., 2018., Comparison of Similarity Coefficients on Morphological Rodent Tuber, INAPR International Conference, Jakarta, Indonesia, 7 September 2018.
Eddamiri, S., Zemmouri, E.M., dan Benghabrit, A., 2019., An improved data Clustering Algorithm, Procedia Computer Science, vol. 148, 208-217.
57
Gao, H., Jiang, G., Gao, X., Xiao, J., dan Wang, H., 2019., An equine disease diagnosis expert system based on improved reasoning of evidence credibility, Information Processing in Agriculture, vol. 6, 414-423.
Gragera, A., dan Suppakitpaisarn, V., 2018., Relaxed triangle inequality ratio of the Sorensen-Dice and Tversky indexes, Theorical Computer Science, vol. 718, 37-38.
Hassan, MD., M., 2108., Application of Stochastic Frontier Model for Poultry Broiler Production: Evidence from Dhaka and Kishoreganj Districts, Bangladesh, Bangladesh Development Studies, vol. 41(1).
Huang, J., Wang, W., dan Zhang, T., 2019., Method for detecting avian influenza disease of chickens based on sound analysis, Biosystems Engineering, vol. 180, 16-24.
Igbokwe, I.O., Maduka, C.V., Igbokwe, N.A., Ogbaji, S.J., Onah, C.C., dan Atsanda, N.N., 2020., Adoption and failure rates of vaccinations for disease prevention in chicken farms in Jos, Nigeria, Tropical Animal Health and Production, vol. 52, 3113–3121.
Jawad, H.S.A., Al-Yaseri, A.J., dan Menati, J.K., 2020., A Field, Clinical and Histological Study of Omphalitis and Yolk Sac Diseases at Commercial Broiler Farms in Al-Muthanna Governorate, Systematic Reviews in Pharmacy, vol.
11(11).
Khryaschev, V., dan Ivanovsky, L., 2019., Urban areas analysis using satellite image segmentation and deep neural network, E3S Web of Conferences, Vol.
135.
Langrid, M.B.B., Benlabiod, L.B., Rubin, S.H., Tebibel, T.B., dan Hanini, M.R., 2020., A case-based reasoning system for supervised classification problems in the medical field, Expert Systems With Applications, vol. 150.
Lee, J., Hua, K.L., Hsu, S.M., Lin, J.B., Lee, C.H., Lu, K.W., Dai, K.Y., Huang, X.N., Huang, J.Z., Wu, M.H., dan Chen, Y.J., 2017., Development of
58
delineation for the left anterior descending coronary artery region in left breast cancer radiotherapy: An optimized organ at risk, Radiotherapy and Oncology, vol. 122, 423-430.
Maher, M.M., Islam, J., dan Afrin, M., 2020., Investigation of Risk Factors and Biosecurity Measures Associated with Prevalence of Newcastle Disease Virus in Broiler Farms, Turkish Journal of Agriculture-Food Science and Technology, vol. 8(11), 2426-2432.
Makki, F., Boroomand, Z., Mayahi, M., dan Shapouri, M.R.S.A., 2021., Characterization of Newcastle disease virus in broiler focks with respiratory symptoms in some provinces of Iran, Molecular Biology Reports, vol. 48, 7281–7291.
Panessai, I.Y., 2021., Arsitektur Sistem Pakar, Lamintang, Batam.
Pasaribu, S., Sihombing, P dan Suherman, S., 2020., Expert System Diagnosing Dental and Mouth Diseases with a Website-Based Certainty Factor (CF) Method, International Conference on Mechanical Electronics, Computer, and Industrial Technology (MECnIT), Medan, Indonesia, 25-27 Juni 2020.
Rahim, R., Purba, W., Khairani, M., dan Rosmawati, R., 2019., Sistem Pakar Online Diagnosis Gangguan Psikologis Menggunakan Penalaran Berbasis Kasus, Journal of Physics: Conference Series, vol. 1385.
Sabogal, J.C.A., Dubuc, J., Krug, C., dan Robichaud, J.D., 2019., Accuracy of leukocyte esterase test, endometrial cytology and vaginal discharge score for diagnosing postpartum reproductive tract health status in dairy cows at the moment of sampling, using a latent class model fit within a Bayesian framework, Preventive Veterinary Medicine, vol. 162, 1-10.
Salim, D., Perdana, N.J., dan Mulyawan, B., Application of the case based reasoning & sorensen-dice coefficient method for fitness exercise program, IOP Conf. Series: Materials Science and Engineering, vol. 1007.
59
Salman, F.M., dan Abu-Naser, S.S., 2019., Expert System for Castor Diseases and Diagnosis, International Journal of Engineering and Information Systems (IJEAIS), vol. 3(3), 1-10.
Sarawati, A.R., Saintika, V., Thohari, A.N., dan Iskandar, A.R., 2020., Sistem Pakar Diagnosa Penyakit Ikan Gurame (OSPRHONEMUS GURAME) menggunakan Case Based Reasoning, Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), Vol. 7(4), 779-786.
Sitohang, H.T., Riandari, F., dan Margareth, G.S., 2020., Expert system to different mixed disease in baby using CBR (case base reasoning) method, Journal of Critical Reviews, vol. 7, 48-51.
Subagja, H., dan Nikmah, D., 2020., Analysis of Influencing Factors and Volatility of Broiler Meat Prices in Pasuruan Regency, East Java Province, Buletin Peternakan, vol. 44(4), 240-244.
Suharjito, Diana, Yulyanto, dan Nugroho, A., 2017., Mobile Expert System Using Fuzzy Tsukamoto for Diagnosing Cattle Disease, Procedia Computer Science, vol. 116, 27-36.
Sugiarto, M., Wakhidati, Y.N., dan Anurrohman, H., Farmers’ Satisfaction of the Service Quality of Broiler Contract Farming Model in Banyumas Regency, Buletin Peternakan, vol. 43(3), 207-212.
Tabarees, R., El-Sayed, M.S., Shehata, A.A., dan Diab, M.S., 2020., Effects of the Probiotic Candidate E. faecalis-1, the Poulvac E. coli Vaccine, and their Combination on Growth Performance, Caecal Microbial Composition, Immune Response, and Protection against E. coli O78 Challenge in Broiler Chickens, Probiotics and Antimicrobial Proteins, vol. 12, 860–872.
Tursina., Muhardi, H., dan Sari, D.A., 2020., Diagnosis Tahapan Pengguna Narkoba Menggunakan Metode K-Nearest Neighbor, Jurnal Edukasi dan Penelitian Informatika, vol. 6(1).
Umiarti, A.T., 2020., Manajemen Pemeliharaan Broiler, Slamat Trisila, Denpasar.
60
Yan, H., Wang, F., Yan, G., dan He, D., 2021., Hybird approach integratting case- based reasoning and Bayesian network for operational adjustment in industrial floating process, Journal of Process Control, vol. 103, 34-37.
Zhai, Z., Martinez, J.F., Martinez, N.L., dan Diaz, V.H., 2020., Applying case- based reasoning and a learning-based adaptation strategy to irrigation scheduling in grape farming, Computers and Electronics in Agriculture, vol.
178.
