SISTEM PAKAR DIAGNOSA PENYAKIT IKAN KOMET MENGGUNAKAN FORWARD CHAINING
DOI:
https://doi.org/10.29103/techsi.v6i2.175Abstract
Diagnosis is an early stage used to know the symptoms carassius auratus suffers; therefore, the diseases can be healed. The aimof this research is to create an expert systemapplication relating to fishery, especially in the diseases carassius auratus suffers. The existence of an expert system use to diagnose carassius auratus can provide a lot of easiness for anyone who wants to cultivate or just keep it. The design of expert system application uses prototype method whereas forward chaining is applied by using inference method. Forward chaining method begins with premises or input information (if) first and continued by conclusion (then). The expert system application of carassius auratus disease diagnosis can save the users cost. Users who have an access right as an administrators can add, change, or delete the data of symptoms, pests and diseases, and solutions therefore the system can keep developing. To obtain a more accurate results, we can combine it with CF (Certainty Factor) theorem.References
Elfani., dan Pujiyanta, Ardi. 2013. Sistem Pakar Mendiagnosa Penyakit Pada Ikan Konsumsi Air Tawar Berbasis Website, Jurnal Sarjana Teknik Informatika, Vol 1 No 1, Juni 2013, hal 42-50.
Giarratano, Joseph C., and Riley, Gary D. 2004. Expert Systems: Principles and Programming, Fourth Edition, Course Technology.
Hartati, S., dan Iswanti, S. 2013. Sistem Pakar & Pengembangannya, Edisi Pertama, Yogyakarta: Graha Ilmu.
Jackson, Peter. 1998. Introduction To Expert Systems, 3rd Edition, AddisonWesley, Longman Limited. The MIT Press.
Kurniawan, Mohammad., dan Diana, Nova Eka. 2014. Aplikasi Diagnosis Penyakit Ikan Arwana Menggunakan Aturan Inferensi Fuzzy Berbasis Web, Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2014, hal C36-C41.
Kusrini. 2008. Aplikasi Sistem Pakar: Menentukan Faktor Kepastian
Pengguna Dengan Metode Kuantifikasi Pertanyaan, Penerbit CV.
Andi Offset, Yogyakarta.
Kusumadewi, Sri. 2003. Artificial Intelligence (Teknik dan Aplikasinya), Graha Ilmu, Yogyakarta.
Prabowo, Nur Listianto Arif., Pinandita, Tito., dan Suwarsito. 2013. Sistem Pakar Untuk Mendiagnosa Dan Menanggulangi Penyakit Pada Ikan Lele Dumbo (Clarias Gariepinus) Menggunakan Metode Backward Chaining, Simposium Nasional Teknologi Terapan (SNTT) 2013, hal IF31-IF36.
Sharda, Ramesh., Delen, Dursun., dan Turban, Efraim. 2014. Business Intelligence and Analytics: Systems for Decision Support, Tenth Edition, Prentice-Hall, Inc.
Suwarsito., dan Mustafidah, Hindayati. 2011. Diagnosa Penyakit Ikan Menggunakan Sistem Pakar (Diagnozing Fish Disease Using Expert System), Jurnal JUITA, Vol 1, No 4, Nopember 2011, hal 131-140.
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