Implementasi Metode Case Based Reasoning dan Sorensen Dice Coefficient untuk Diagnosa Penyakit Ayam Broiler
DOI:
https://doi.org/10.23887/jstundiksha.v12i2.53228Kata Kunci:
sistem pakar, ayam broiler, case based reasoning, sorensen dice coefficientAbstrak
Keterlambatan penanganan penyakit ayam broiler yang disebabkan kekurangan tenaga ahli menimbulkan banyak kerugian yang cukup besar bahkan menyebabkan kematian. Hal ini dikarekan belum adanya pengetahuan yang cukup tentang penanganan penyakit ayam broiler yang benar. Penelitian ini bertujuan untuk menerapkan metode case based reasoning dan sorensen dice coefficient untuk penerapan sistem pakar dalam mendiagnosa penyakit ayam broiler. Data penelitian ini didapatkan dari hasil wawancara terhadap tiga pakar atau dokter hewan dengan pengolahan data menggunakan miles and huberman. Penelitian ini menggunakan metode case based reasoning dengan mendapatkan kasus yang sama pada masa yang lampu untuk digunakan kembali pada kasus yang baru dengan menerapkan 4 tahapan meliputi retrieve, reuse, revise, dan retain. Metode sorensen dice coefficient digunakan pada tahap reuse untuk menghitung hasil kemiripan. Penerapan sistem pakar diagnosa penyakit ayam broiler menggunakan case based reasoning dan sorensen dice coefficient diperoleh hasil pengujian akurasi sistem sebesar 90%. Hasil uji akurasi sistem menunjukan nilai yang cukup tinggi dan menunjukan bahwa sistem memberikan nilai yang akurat dibandingkan dengan metode sebelumnya dalam mendiagnosa penyakit dan memberikan solusi atau penanganan.
Referensi
Al Riza, D. F., Widodo, S., Yamamoto, K., Ninomiya, K., Suzuki, T., Ogawa, Y., & Kondo, N. (2022). External defects and severity level evaluation of potato using single and multispectral imaging in near infrared region. Information Processing in Agriculture, xxxx, 1–11. https://doi.org/10.1016/j.inpa.2022.09.001.
Anggrawan, A., Satuang, S., & Abdillah, M. N. (2020). Sistem Pakar Diagnosis Penyakit Ayam Broiler Menggunakan Forward Chaining dan Certainty Factor. MATRIK : Jurnal Manajemen, Teknik Informatika Dan Rekayasa Komputer, 20(1), 97–108. https://doi.org/10.30812/matrik.v20i1.847.
Apriadi, D., & Saputra, A. Y. (2017). Jurnal Resti. Resti, 1(1), 19–25.
Assyifa, M. N. (2019). Aplikasi Sistem Pakar Berbasis Android Untuk Diagnosis Penyakit Gastroesophageal Reflux Disease (Gerd) Dengan Metode Certainty Factor. Jurnal Ilmiah Teknologi Dan Rekayasa, 24(2), 78–90. https://doi.org/10.35760/tr.2019.v24i2.2387.
Binanto, I., Warnars, H. L. H. S., Abbas, B. S., Heryadi, Y., Sianipar, N. F., Lukas, & Perez Sanchez, H. E. (2019). Comparison of Similarity Coefficients on Morphological Rodent Tuber. 1st 2018 Indonesian Association for Pattern Recognition International Conference, INAPR 2018 - Proceedings, 104–107. https://doi.org/10.1109/INAPR.2018.8627050.
Castañeda, M. B., Enrique, L., Velázquez, C., Aguilar, S. R., Romero, J. S., & Castellanos, V. A. (2022). Expert system through a fuzzy logic approach for the macroscopic visual analysis of corroded metallic ferrous surfaces: knowledge acquisition process. Expert Systems With Applications, 119104. https://doi.org/10.1016/j.eswa.2022.119104.
Eddamiri, S., Zemmouri, E. M., & Benghabrit, A. (2019). An improved RDF data Clustering Algorithm. Procedia Computer Science, 148, 208–217. https://doi.org/10.1016/j.procs.2019.01.038.
Fei, L., & Wang, Y. (2022). Demand prediction of emergency materials using case-based reasoning extended by the Dempster-Shafer theory. Socio-Economic Planning Sciences, July, 101386. https://doi.org/10.1016/j.seps.2022.101386.
Fernandes, J. I. M., Baldo, J. S., Ferreira, A. C. P., Schuroff, J. S., Reuter, A. H., & Salinas, B. C. D. (2022). Effect of adsorbents on diets with corn contaminated by mycotoxins on the productive performance and health of broilers. Acta Scientiarum - Animal Sciences, 44. https://doi.org/10.4025/actascianimsci.v44i1.53575.
Hadj-Mabrouk, H. (2020). Application of Case-Based Reasoning to the safety assessment of critical software used in rail transport. Safety Science, 131(July), 104928. https://doi.org/10.1016/j.ssci.2020.104928.
Hassan, M. (2018). Application of Stochastic Frontier Model for Poultry Broiler Production: Evidence from Dhaka and Kishoreganj Districts, Bangladesh. Bangladesh Development Studies, 41(01), 65–87.
Igbokwe, I. O., Maduka, C. V., Igbokwe, N. A., Ogbaji, S. J., Onah, C. C., & Atsanda, N. N. (2020). Adoption and failure rates of vaccinations for disease prevention in chicken farms in Jos, Nigeria. Tropical Animal Health and Production, 52(6), 3113–3121. https://doi.org/10.1007/s11250-020-02335-1.
Jawad, H. S. A., Al-Yaseri, A. J., & 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, 11(11), 1140–1144. https://doi.org/10.31838/srp.2020.11.164.
Kang, M. S., Cha, E., Kang, E., Ye, J. C., Her, N. G., Oh, J. W., Nam, D. H., Kim, M. H., & Yang, S. (2020). Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images. Biomedical Signal Processing and Control, 58, 101846. https://doi.org/10.1016/j.bspc.2020.101846.
Knuth, F., Groendahl, A. R., Winter, R. M., Torheim, T., Negård, A., Holmedal, S. H., Bakke, K. M., Meltzer, S., Futsæther, C. M., & Redalen, K. R. (2022). Semi-automatic tumor segmentation of rectal cancer based on functional magnetic resonance imaging. Physics and Imaging in Radiation Oncology, 22(December 2021), 77–84. https://doi.org/10.1016/j.phro.2022.05.001.
Kurukulasuriya, S., Ahmed, K. A., Ojkic, D., Gunawardana, T., Goonewardene, K., Gupta, A., Popowich, S., Willson, P., Tikoo, S. K., & Gomis, S. (2022). Evaluation of five circulating strains of variant infectious bursal disease virus (varIBDV) for their immunogenicity as broiler breeder vaccines and protective efficacy in neonatal broiler chicks. Vaccine, 40(38), 5608–5614. https://doi.org/10.1016/j.vaccine.2022.08.021.
Lennert, E., & Bridge, C. (2021). Correlation and analysis of smokeless powder, smokeless powder residues, and lab generated pyrolysis products via GC–MS. Forensic Chemistry, 23(January), 100316. https://doi.org/10.1016/j.forc.2021.100316.
Marifah, B., Suprijatna, E., Mahfudz, L. D., Sunarti, D., Kismiati, S., Sarjana, T. A., & Muryani, R. (2022). Effect of Terminalia catappa Leaf Extract in Drinking Water on Performance and Carcass Production of Crossbred Native Chicken. Jurnal Sain Peternakan Indonesia, 17(2), 87–90. https://doi.org/10.31186/jspi.id.17.2.87-90.
Meher, M. M., Islam, J., & 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, 8(11), 2426–2432. https://doi.org/10.24925/turjaf.v8i11.2426-2432.3710.
Muhardi, H., Aulia Sari, D., & Hadari Nawawi, J. H. (2020). JEPIN (Jurnal Edukasi dan Penelitian Informatika) Diagnosis Tahapan Pengguna Narkoba Menggunakan Metode K-Nearest Neighbor. 6(1), 101–108.
Munaiseche, C. P. C., Kaparang, D. R., & Rompas, P. T. D. (2018). An Expert System for Diagnosing Eye Diseases using Forward Chaining Method. IOP Conference Series: Materials Science and Engineering, 306(1). https://doi.org/10.1088/1757-899X/306/1/012023.
Nelis Febriani, N. S., Julian Pramana, H., Dewi Sri Mulyani, E., Mufizar, T., & Anwar, K. (2022). Sistem Pakar Diagnosa Penyakit Pada Tanaman Anggur Menggunakan Metode Certainty Factor. Jurnal Voice of Informatics, 11(2), 1–5.
Nugraini, Z. R., Mahfudz, L. D., & Kismiati, S. (2022). Effects of Altitude Differences on the Performance of Broiler Chicken Kept in Closed House Cage. Jurnal Sain Peternakan Indonesia, 17(1), 51–54. https://doi.org/10.31186/jspi.id.17.1.51-54.
Pratama, I. S., Zulkarnaen, I., Putera, A. S., & Sari, B. N. (2022). Pemanfaatan Sistem Pakar untuk Mendiagnosis Penyakit pada Burung Murai Batu. Paradigma - Jurnal Komputer Dan Informatika, 24(1), 81–89. https://doi.org/10.31294/paradigma.v24i1.1007.
Riwukore, J. R., Yani, A., Fuah, A. M., Abdullah, L., Priyanto, R., Purwanto, B. P., Habaora, F., & Susanto, Y. (2021). Analysis of Production Capacity and Consumption Level of Beef in East Nusa Tenggara Province of Indonesia. Jurnal Ilmu Dan Teknologi Peternakan, 9(1), 6–13. https://doi.org/10.20956/jitp.v9i1.9531.
Robinson, P., Mu’in, M. A., & Warsono, I. U. (2019). Pengaruh kepadatan kandang dan pembatasan ransum terhadap performans produksi dan tingkat cekaman pada Ayam Broiler. Cassowary, 2(2), 193–208. https://doi.org/10.30862/casssowary.cs.v2.i2.32.
Salim, D., Perdana, N. J., & Mulyawan, B. (2020). Application of the case based reasoning & sorensen-dice coefficient method for fitness exercise program. IOP Conference Series: Materials Science and Engineering, 1007(1). https://doi.org/10.1088/1757-899X/1007/1/012188.
Salman, F. M., & Abu-Naser, S. (2019). Expert System for Castor Diseases and Diagnosis. International Journal of Engineering and Information Systems (IJEAIS), 3(3), 1–10.
Setyohadi, D. P. S., Octavia, R. A., & Puspitasari, T. D. (2018). An Expert System for Diagnosis of Broiler Diseases using Certainty Factor. Journal of Physics: Conference Series, 953(1). https://doi.org/10.1088/1742-6596/953/1/012118.
Sihotang, H. T., Riandari, F., & Indri Gita Margareth, S. (2020). Expert system to different mixed disease in baby using CBR (case base reasoning) method. Journal of Critical Reviews, 7(5), 48–51. https://doi.org/10.31838/jcr.07.05.08.
Subagja, H., & Nikmah, D. (2020). Analysis of Influencing Factors and Volatility of Broiler Meat Prices in Pasuruan Regency, East Java Province. Buletin Peternakan, 44(4), 240–244. https://doi.org/10.21059/buletinpeternak.v44i4.34379.
Sugiarto, M., Wakhidati, Y. N., & Aunurrohman, H. (2019). Farmers’ Satisfaction of the Service Quality of Broiler Contract Farming Model in Banyumas Regency. Buletin Peternakan, 43(3), 207–212. https://doi.org/10.21059/buletinpeternak.v43i3.44853.
Tarabees, R., El-Sayed, M. S., Shehata, A. A., & 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, 12(3), 860–872. https://doi.org/10.1007/s12602-019-09588-9.
Wu, S. J., & Coman, A. (2023). Altering the past to shape the future: Manipulating information accessibility to influence case-based reasoning. Journal of Experimental Social Psychology, 104(September 2022), 104407. https://doi.org/10.1016/j.jesp.2022.104407.
ZHANG, L. L., ZHANG, C., & PENG, J. P. (2022). Application of Nanopore Sequencing Technology in the Clinical Diagnosis of Infectious Diseases. Biomedical and Environmental Sciences, 35(5), 381–392. https://doi.org/10.3967/bes2022.054.
Unduhan
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2022 Imam Imam
Artikel ini berlisensiCreative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with the Jurnal Sains dan Teknologi (JST) agree to the following terms:
- Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work. (See The Effect of Open Access)
