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

Deni Setiyo Wibowo (Department of Informatics, STMIK Kharisma Karawang)
Yessy Yanitasari (Department of Informatics, STMIK Kharisma Karawang)
Dedih Dedih (Department of Information System, STMIK Kharisma Karawang)

Jurnal Teknologi dan Sistem Komputer
Volume 6, Issue 2, Year 2018 (April 2018)

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.