SISTEM PAKAR DIAGNOSA PENYAKIT IKAN GURAME DENGAN MENGGUNAKAN FIS MAMDANI
DOI:
https://doi.org/10.52972/hoaq.vol11no2.p73-80Keywords:
carp, diseases of the body surface of the fish, expert system, fuzzy logic, Fuzzy Inference System MamdaniAbstract
The carp (Osphronemus Goramy) including fish that was seeded in cultivation. In addition to the price of carp that are relatively more expensive than other fish and it has been easy to carp also has a higher value compared to other freshwater fish. But in the cultivation of carp diseases is one of the serious problems encountered by the fish farmers because it could potentially cause harm. Diseases that attack the carp both are still in the larval or adult forms of which are caused by parasitic infections in the form of fungi, protozoa, worms as well as bacterial infection of Aeromonas hydrophylla, Flexybacter colomnaris, and Mycobacterium sp. The multiplicity of types of disease that can attack the carp and the difficult process of detection because of the similarity of the symptoms caused fish farmers making it difficult to determine the methods of prevention and control of the right to address the disease. Detection of disease of carp is seen on the surface of the body of the fish. Therefore, it takes expert system to detect disease carp by involving technology. One of the methods used in the expert system of fuzzy inference system Mamdani. Fuzzy inference system Mamdani reasoning used in this study because of the handling of the value and accuisition of knowledge representation experts can directly representation in the form of rules, which can be understood when placed on the machine inference. The result of this reasoning is to detect diseases of the carp while delivering the right solution to tackle the disease of carp.
References
Amali D. 2014. Aplikasi Model Fuzzy dalam Prediksi Produksi Telur Ayam Petelur Di Kabupaten Sleman. [Skripsi]. Yogyakarta [ID]: Universitas Negeri Yogyakarta.
Dewi S, Adhistya E. Hanung A. 2014. Diagnosa Dini Penyakit Gangguan Jiwa Menggunakan Metode Fuzzy Mamdani. Seminar Nasional Teknologi Informasi dan Multimedia 2018 [Internet]. [Diunduh 2014 Februari 8]. Tersedia pada: http://ojs.amikom.ac.id. Yogyakarta [ID]: STMIK Amikom Yogyakarta.
Haryanto T. 2006. Sistem Pakar Diagnosa Penyakit Pada Ayam. [Skripsi]. Bogor [ID]: Institut Pertanian Bogor.
Jogiyanto H. 2005. Analisis dan Desain Sistem Informasi: Pendekatan Terstruktur Teori dan Praktek Aplikasi Bisnis. Jurnal Yogyakarta Andi. Yogyakarta [ID]: Universitas Gadjah Mada.
Kamsyakawuni A, Rachmad G, Eko Adi S. 2012. Aplikasi Sistem Pakar untuk Diagnosa Penyakit Hipertiroid dengan Metode Inferensi Fuzzy Mamdani. Jurnal Sistem Informasi Bisnis [Internet]. [Diunduh Februari 2012]. Tersedia pada: http://ejournal.undip.ac.id/index.php/jsinbis.
Kusumadewi S. 2006. Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). Yogyakarta [ID]: Graha Ilmu Yogyakarta
Mulyanto M. 2011. Sistem Pakar Fuzzy Untuk Diagnosa Penyakit Pada Tanaman Cabai Merah. [Skripsi]. Bogor [ID]: Institut Pertanian Bogor.
Noor J. 2011. Metodologi Penelitian: Skripsi, Tesis, Disertasi dan Karya Ilmiah. Jakarta [ID]: Kencana Prenada Media Group.
Primartha N, Fathiyah. 2013. Sistem Pakar Fuzzy untuk Diagnosa Kanker Payudara Menggunakan Metode Mamdani. Jurnal Generic Vol. 8 No.1 [Internet]. [Diunduh Maret 2013]. Palembang [ID]: Universitas Sriwijaya.
Saputra A, Wisnu B, Ainil S. 2015. Logika Fuzzy Pada Proses Pelet Pakan Ikan. Prosiding Seminar Nasional Fisika (E-Journal) SNF Vol. IV [Internet]. [Diunduh 2015 Oktober]. Tersedia pada: http://journal.unj.ac.id.
Setyabudi D. 2007. Sistem Pakar Diagnosa Penyakit Udang Windu (Penaeus monodo) Menggunakan Logika Fuzzy. [Skripsi]. Bogor [ID]: Institut Pertanian Bogor.
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