IMPLEMENTASI MESIN INFERENSI FUZZY (STUDI KASUS SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT TANAMAN CABE MERAH)
DOI:
https://doi.org/10.31315/telematika.v7i2.424Keywords:
Expert System, Fuzzy Inference Machine, Red Chili, Max-Min MethodAbstract
Research was conducted based on the need for a tool for farmers in determining disease in red chilli plants and how to control it so as not not wrong in taking peptisida. The tool is an expert system which in addition to diagnosis, the system is expected to provide suggestions for control. Basically the software consists of two main parts, namely the input knowledge base, and the consultation. Decisions taken by using the rules. Inference method used is the fuzzy inference method with defuzzyfication using max-min method and the center average. The output of this software are the types of diseases that attack plants and its control in accordance with the advice of the devastation wrought on the red chilli plants.References
Firebaugh M. W., 1989, Artificial Intelligence. A Knowledge-Based Approach, PWS-Kent Publishing Company, Boston.
Havinga H.N.J, van der Veer P., Brouwer, J. Cser., 1999, Fuzzy Logic, Technical Report. Faculty of Civil Engineering and Geosciences, Delft University of Technology, Netherlands.
Klir, G. J & Y. Bo., 1995, Fuzzy Set and Fuzzy Logic: Theory and Applications. Prentice-Hall International, Inc, New Jersey.
Negoita, C. V., 1985, Expert Systems and Fuzzy Systems. The Benjamin/cummings Publishing Company, Inc. California.
Semangun, Haryono, 2007, Penyakit-Penyakit Tanaman Hortikultura Di Indonesia (Edisi Kedua), Gadjah Mada University Press, Yogyakarta.
Turban, Efraim, 1995, Decision Support System and Expert System, 4th ed., Prentice-Hall, Inc., New Jersey, pp 472-679
Wang, L. 1997. A Course in Fuzzy Systems and Control. Prentice-Hall International, Inc., New Jersey.
, Hama Penyakit Sayuran Dan Palawija, Penerbit PT. Penebar Swadaya, Anggota IKAPI, Jakarta.
