Sistem Pakar Diagnosa Penyakit Ikan Arwana dengan Menentukan Tingkat Kualitas Air Menggunakan Forward Chaining dan Simple Additive Weighting
(1) Program Studi Teknik Informatika, Universitas Kristen Petra Surabaya
(2) Program Studi Teknik Informatika, Universitas Kristen Petra Surabaya
(3) Program Studi Teknik Informatika, Universitas Kristen Petra Surabaya
(*) Corresponding Author
Abstract
arwana fish always has its own charm for the people of Indonesia, as well as foreign countries. But every living thing must have been stricken with disease, including the arwana fish itself. Diseases in arwana are often not well identified by hobbyists and beginners because there are many parameters that must be considered. One of the problems in identifying arwana disease is the problem of the suitability of water parameters with arwana fish.
This expert system is equipped with Forward Chaining and Simple Additive Weighting methods. Forward Chaining allows the expert system to ask only the questions it needs. Simple Additive Weighting is used to determine the level of suitability of parameters in arwana fish. This method allows us to determine whether the water quality is suitable for the arwana fish by performing calculations based on the weight of the water parameters quickly.
Tests were carried out by 2 experts on 20 arwana fish. The test results on the expert system for diagnosing arwana fish disease obtained an accuracy level of conformity with the expert with an accuracy value of 95%.
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Alkadri, S. P. A., & Abdullah, A. (2022). Sistem pakar penyakit pada ikan arwana dengan menggunakan metode certainty factor berbasis web. Digital Intelligence, 2(2), 59-71.
Ignizio, J. P. 1991. Introduction to expert systems. McGraw-Hill.
Kusrini. 2008. Aplikasi Sistem Pakar, Menentukan Faktor Kepastian Pengguna dengan Metode Kuantifikasi Pertanyaan + CD. Penerbit Andi.
Nofriansyah, D. 2015. Konsep data mining vs sistem pendukung keputusan. Deepublish.
Praditya, I. I. 2020, July 7. Pemerintah dorong kemandirian industri ikan arwana. Liputan6.com. https://www.liputan6.com/bisnis/read/4298326/pemerintah-dorong-kemandirian-industri-ikan-arwana
Prakasiwi, D. A., & Wiranata, A. 2018. Sistem pakar mendiagnosa penyakit ikan arwana (scleropages formosus) untuk meminimalisir penyebaran hama dan penyakit menggunakan metode forward chaining. Fortech (Journal of Information Technology), 2(2), 45-49.
Ramadhan, P. S., & Pane, U. F. S. 2018. Mengenal metode sistem pakar. Uwais Inspirasi Indonesia.
Rosnelly, R. 2012. Sistem pakar: konsep dan teori. Penerbit Andi.
Sihotang, D. M. 2018. Penentuan Kualitas air untuk Perkembangan Ikan Lele Sangkuriang Menggunakan Metode fuzzy SAW. Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI), 7(4). https://doi.org/10.22146/jnteti.v7i4.453
Sumartono. et al. 2017. Expert System of Catfish Disease Determinants Using Certainty Factor Method. International Journal of Recent Trends in Engineering and Research, 3(8), 202–209. https://doi.org/10.23883/ijrter.2017.3405.tcyz2
Suryaatmadja, S. 2010. A-z merawat arwana. Penebar Swadaya.
Theonardo, R., & Siddik, M. 2021. Sistem pakar mendiagnosa penyakit ikan hias air tawar menggunakan metode forward chaining dan theorema bayes berbasis web. Jurnal Mahasiswa Aplikasi Teknologi Komputer dan Informasi (JMApTeKsi), 2(2), 68-76.
Wadi, H. n.d. Sistem pakar forward chaining dengan java gui & mysql : studi kasus diagnosa penyakit ikan air tawar. TURIDA Publisher. http://ojs.unh.ac.id/index.php/fortech/article/view/446/383
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