Sistem Pakar untuk Diagnosa Penyakit Ayam Pedaging

Authors

  • Wiwik Kusrini Program Studi Teknologi Informasi, Politeknik Negeri Tanah Laut
  • Fathurrahmani Fathurrahmani Program Studi Teknologi Informasi, Politeknik Negeri Tanah Laut
  • Rabini Sayyidati Program Studi Teknologi Informasi, Politeknik Negeri Tanah Laut

DOI:

https://doi.org/10.29408/edumatic.v4i2.2616

Keywords:

Black Box, Broiler, Expert System, Rule

Abstract

Tanah Laut Regency is the largest producer of broilers in South Kalimantan. However, public knowledge about symptoms and diseases in chickens is still lacking, so this is a problem that must be resolved because it can cause losses. Therefore, this research was conducted with the aim of overcoming this problem, namely by building an expert system application that can be used by the public and extension workers to diagnose chicken disease. The method used to build this system is a waterfall with the forward chaining technique as a forward-looking solution, meaning that inference is done by looking for input data in the form of symptom data in the form of chicken disease. The system built is equipped with features that display disease treatment and prevention solutions based on the symptoms that have been entered, so that disease-stricken chickens can be handled appropriately and quickly according to their disease. Based on blackbox testing carried out by involving potential users, the results obtained that all functionality can work as expected. Accuracy testing is also done by comparing manual calculations with an accuracy value of 95%. This is influenced by the weighting of the symptom value which affects the decrease in the value of the symptom result when compared to ideal conditions. In conclusion, the implications of using this system can make it easier for the community and instructor to diagnose chicken disease.

References

Afandi, A. (2018). Sistem Pakar Identifikasi Penyakit Ayam Pedaging. Jurnal Cendikia, 16(1), 58–67.

Ariyawan, M. D. (2018). Aplikasi Sistem Pakar Diagnosa Penyakit Umum Pada Manusia Berbasis Web. Jurnal Elektronik Ilmu Komputer Udayana, 7(2), 59–67.

Firmansyah, H. B. (2019). Pembangunan Sistem Pakar untuk Diagnosis Penyakit Tulang dan Sendi. Journal of Science and Application Technology, 2(1), 44–52. https://doi.org/10.35472/281487

Fitriyani, A., & Mahadji, D. (2017). Perancangan Aplikasi Mobile Edukatif ‘Belajar Chord Gitar Untuk Pemula’ Berbasis Android. Edu Komputika Journal, 4(2), 20–24. https://doi.org/10.15294/edukomputika.v4i2.11215

Fuad, H., & Susilo, H. (2016). Perancangan Sistem Pakar Diagnosa Penyakit Ayam Dengan Metodologi Berbasis Objek. Jurnal Sisfotek Global, 6(1). 17–20.

Honggowibowo, A. S. (2009). Sistem pakar diagnosa penyakit tanaman padi berbasis web dengan forward dan backward chaining. Telkomnika, 7(3), 187-194.

Ibrohim, M., & Purwanty, N. (2017). Rancang Bangun Aplikasi Identifikasi Gaya Belajar Siswa Dengan Metode Forward Chaining (Studi Kasus : Sekolah Dasar Negeri Sumampir ). Jurnal ProTekInfo, 4(1), 19–28.

Ifriza, Y., Elektro, J. T., Teknik, F., & Semarang, U. N. (2015). Perancangan Sistem Pakar Penyuluh Diagnosa Hama Padi dengan Metode Forward Chaining. Jurnal Teknik Elektro Unnes, 7(1), 30–36. https://doi.org/10.15294/jte.v7i1.8590

Jarti, N., & Trisno, R. (2017). Sistem Pakar Diagnosa Penyakit Alergi Pada Anak Berbasis Web dengan Metode Forward Chaining. Jurnal Edik Informatika, 3(2), 197–205.

Ongko, E. (2014). Perancangan Sistem Pakar Diagnosa Penyakit Pada Balita. Jurnal Time, II(1), 1–5. https://doi.org/10.1007/s13398-014-0173-7.2

Purwanto, T., & Destiani, D. (2016). Pengembangan Sistem Pakar Diagnosis Penyakit Cabai Paprika Berbasis Android. Jurnal Algoritma, 13(1), 191–197. https://doi.org/10.33364/algoritma/v.13-1.191

Rohajawati, S., & Supriyati, R. (2010). Sistem Pakar: Diagnosis Penyakit Unggas Dengan Metode Certainty Factor. CommIT (Communication and Information Technology) Journal, 4(1), 41-46.

Rosa, A., S. & Shalahuddin, M. (2016). Rekayasa Perangat Lunak. Bandung: Informatika.

Salman, F. M., & Abu-Naser, S. S. (2019). Expert System for Castor Diseases and Diagnosis. International Journal of Engineering and Information Systems (IJEAIS), 3(3), 1-10.

Septiani, M., & Kuryanti, S. J. (2019). Sistem Pakar untuk Mendiagnosa Penyakit Saluran Pernapasan pada Anak. SinkrOn. 2(2), 23–27.

Suandi, A., Khasanah, F. N., & Retnoningsih, E. (2017). Pengujian Sistem Informasi E-commerce Usaha Gudang Cokelat Menggunakan Uji Alpha dan Beta. Information System for Educators and Professionals, 2(1), 61–70.

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Published

2020-12-20