Sistem Pakar Diagnosis Potensi Penyebaran Penyakit pada Tanaman Cabai Menggunakan Fuzzy Mamdani

Expert System for Diagnosis of Potential Disease Spreading on Chili Plants Using Mamdani Fuzzy Inference

Deni Setiyo Wibowo -  Department of Informatics, STMIK Kharisma Karawang, Indonesia
*Yessy Yanitasari -  Department of Informatics, STMIK Kharisma Karawang, Indonesia
Dedih Dedih -  Department of Information System, STMIK Kharisma Karawang, Indonesia
Received: 3 Jan 2018; Published: 19 Apr 2018.
Open Access Copyright (c) 2018 Jurnal Teknologi dan Sistem Komputer

This research developed expert system using fuzzy Mamdani to diagnose the spread of diseases affecting the growth of chili plants based on environmental factors. Environmental variables used as fuzzy input parameters are soil pH, air temperature, air humidity and solar irradiation. The input-output relationship uses 81 rules with the AND operator and the MIN implication function. For a case, the results showed that the percentage of the potential spread of the disease showed 60.25%, so the category of potential disease spread with soil PH 7.5 pH, 28 ° C air temperature and air humidity 75 RH and 35% sun irradiance is moderate.

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Keywords
chilli desease; expert system; fuzzy Mamdani

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Language: ID
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Fuzzy Inference Rules
Subject Complete Inference Rules
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