Sistem Diagnosis Penyakit Kerbau menggunakan Algoritma Forward Chaining

MUHAMAD AKMAL DZAKWAN, SUBIYANTO SUBIYANTO, RIZKY AJIE APRILIANTO, MARIO NORMAN SYAH

Sari


ABSTRAK

Ketergantungan peternak pada pakar atau dokter hewan karena terbatasnya pengetahuan dalam mengindentifikasi penyakit kerbau merupakan opsi yang sulit dan mahal. Dalam mengatasi hal tersebut, artikel ini menyajikan pengembangan sistem pakar diagnosis penyakit kerbau. Sistem ini diimplementasikan dalam bentuk web serta dirancang dengan mengumpulkan data tentang 17 jenis penyakit kerbau dan 49 gejala yang berkaitan. Proses diagnosis menggunakan kombinasi algoritma Forward Chaining dan Certainty Factor, yang memungkinkan sistem untuk mencocokkan gejala yang diamati dengan database penyakit kerbau menghasilkan diagnosis yang akurat. Hasil Pengujian sistem menunjukkan tingkat akurasi mencapai 100% dalam 15 kali pengujian berturut-turut. Hasil pengujian juga divalidasi oleh pakar spesialis kerbau. Kesimpulannya, sistem ini layak digunakan oleh peternak kerbau untuk mendiagnosis penyakit kerbau secara dini.

Kata kunci: sistem pakar, penyakit pada kerbau, gejala, forward chaining, certainty factor

 

ABSTRACT

Farmers' reliance on experts or veterinarians due to limited knowledge in identifying buffalo diseases is a difficult and expensive option. To address the problem, this paper presents the development of an expert system for buffalo disease diagnosis. The system is implemented on the web and designed by collecting data on 17 buffalo disease types and 49 associated symptoms. The diagnosis process uses a combination of Forward Chaining and Certainty Factor algorithms, which allows the system to match observed symptoms with the buffalo disease database resulting in an accurate diagnosis. System testing results showed an accuracy rate of 100% in 15 consecutive tests. Results were also validated by buffalo specialist experts. In conclusion, the system is feasible to be used by buffalo farmers to diagnose buffalo diseases early.

Keywords: expert system, buffalo diseases, symptoms, forward chaining, certainty factor


Kata Kunci


sistem pakar; penyakit pada kerbau; gejala; forward chaining; certainty factor

Teks Lengkap:

PDF

Referensi


Agustina, E., Pratomo, I., Wibawa, A. D., & Rahayu, S. (2017). Expert System for Diagnosis Pests and Diseases of The Rice Plant using Forward Chaining and Certainty Factor Method. 2017 International Seminar on Intelligent Technology and Its Applications (ISITIA), (pp. 266-270). https://doi.org/10.1109/isitia.2017.8124092

Andriani, A., Meyliana, A., Sardiarinto, Susanto, W. E., & Supriyanta. (2018). Certainty Factors in Expert System to Diagnose Disease of Chili Plants. 2018 6th International Conference on Cyber and IT Service Management (CITSM), (pp. 1-6). https://doi.org/10.1109/citsm.2018.8674264

Armaya, D., Ginting, B. S., & Maulita, Y. (2022). Expert System For Diagnostic Disease Of Cultivation Of Cucumber Holticulture Using Certainty Factor Method Based On Web-Based. International Journal of Health Engineering and Technology, 1(2), 140-150. https://doi.org/10.55227/ijhet.v1i2.28

Astuti, I., Sutarno, H., & Rasim. (2017). The Expert System of Children’s Digestive Tract Diseases Diagnostic using Combination of Forward Chaining and Certainty Factor Methods. 2017 3rd International Conference on Science in Information Technology (ICSITech), 608-612. https://doi.org/10.1109/icsitech.2017.8257185

Hairani, Abdillah, M. N., & Innuddin, M. (2019). An Expert System for Diagnosis of Rheumatic Disease Types Using Forward Chaining Inference and Certainty Factor Method. 2019 International Conference on Sustainable Information Engineering and Technology (SIET). 104-109. https://doi.org/10.1109/siet48054.2019.8986035

Pasaribu, S. A., Sihombing, P., & Suherman, S. (2020). Expert System for Diagnosing Dental and Mouth Diseases with a Website-Based Certainty Factor (CF) Method. 2020 3rd International Conference on Mechanical, Electronics, Computer, and Industrial Technology (MECnIT), (pp. 218-221).

Perwira, R. I., Aziz, A. (2013). Sistem Pakar Untuk Mendiagnosa Penyakit Infeksi Tbc Paru Telematika, 9(2), 63-74. https://doi.org/10.31315/telematika.v9i2.285

Pranata, R. N., Osmond, A. B., & Setianingsih, C. (2018). Potential Level Detection of Skin Cancer with Expert System Using Forward Chaining and Certainty Factor Method. 2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS), (pp. 207-213). https://doi.org/10.1109/iotais.2018.8600855

Purba, E. H. (2020). Sistem Pakar Diagnosa Penyakit Hewan Ternak Kerbau Dengan Menggunakan Metode Fuzzy Mamdani Berbasis Web. Jurnal Majalah Ilmiah Informasi dan Teknologi Ilmiah (INTI), 7(2), 193–197.

Rumaisa, F., & Junaedi, D. (2016). Expert System For Early Diagnosis Of Meningitis Disease Using Certainty Factor Method. 2016 International Conference on Information Technology Systems and Innovation (ICITSI), (pp. 24-27).

Sajida, M. (2023). Implementation of a Rabbit Disease Diagnosis Expert System using the Forward Chaining and Certainty Factor Method. Journal of Computer Scine and Information Technology, 143–148. https://doi.org/10.35134/jcsitech.v9i3.78

Setiawan, F. A., Puspasari, R., Manik, L. P., Akbar, Z., Kartika, Y. A., Satya, I. A., Saleh, D. R., Indrawati, A., Suzuki, K., Albasri, H., & Wada, M. (2021). Ontology-Assisted Expert System for Algae Identification With Certainty Factors. IEEE Access, 9, 147665–147677. https://doi.org/10.1109/access.2021.3123562

Sihombing, F., Ramadhan, P. S., & Suherdi, D. (2021). Implementasi Sistem Pakar Mendiagnosa Penyakit Anthrax pada Hewan Kerbau dengan Metode Certainty Factor Di Tapanuli Utara. JurnaL Cyber Tech, 1(3), 1–6.

Susanto, D., Fadlil, A., & Yudhana, A. (2020). Application of the Certainty Factor and Forward Chaining Methods to a Goat Disease Expert System. Khazanah Informatika : Jurnal Ilmu Komputer Dan Informatika, 6(2), 158-164.

Uriawan, W., Atmadja, A. R., Irfan, M., Taufik, I., & Luhung, N. J. (2018). Comparison of Certainty Factor and Forward Chaining for Early Diagnosis of Cats Skin Diseases. 2018 6th International Conference on Cyber and IT Service Management (CITSM), (pp. 1-7).

Wicaksono, D., & Adi Nata, I. (2023). Application of expert system identification of horticultural plant diseases with certainty factor and forward chaining for Smart Village Concept Development. Telematika, 20(1), 63.

Widians, J. A., Puspitasari, N., & Ameilia, U. (2018). Expert System of Black Orchid Cultivation using Certainty Factor Method. 2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT), (pp. 35-40).

Yanti, N., Kurniawan, R., Abdullah, S. N., Nazri, M. Z., Hunafa, W., & Kharismayanda, M. (2018). Tropical Diseases Web-based Expert System Using Certainty Factor. 2018 2nd International Conference on Electrical Engineering and Informatics (ICon EEI), (pp. 62-66). https://doi.org/10.1109/icon-eei.2018.8784331

Zamroni, M. R., Qabilah, C. K. N. S., & Wahyudi, A. (2022). Sistem Pakar Diagnosa Penyakit Sapi Sebagai Upaya Pencegahan Penyebaran Wabah PMK Di Lamongan. Jurnal Ilmiah Informatika (JIF), 10(2). 145-152.




DOI: https://doi.org/10.26760/elkomika.v12i1.231

Refbacks



_______________________________________________________________________________________________________________________

ISSN (cetak) : 2338-8323 | ISSN (elektronik) : 2459-9638

diterbitkan oleh :

Teknik Elektro Institut Teknologi Nasional Bandung

Alamat : Gedung 20 Jl. PHH. Mustofa 23 Bandung 40124

Kontak : Tel. 7272215 (ext. 206) Fax. 7202892

Surat Elektronik : jte.itenas@itenas.ac.id________________________________________________________________________________________________________________________

Statistik Pengunjung

Free counters!

Web Analytics Made Easy - StatCounter

Lihat Statistik Jurnal

Jurnal ini terlisensi oleh Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons License