PENERAPAN NAIVE BAYES GAUSSIAN PADA KLASIFIKASI JENIS JAMUR BERDASARKAN CIRI STATISTIK ORDE PERTAMA

Abstract

Fungal or mushroom are plants that do not have chlorophyll so they are heterotrophic, eukarotic cell types. Fungal are the unicellular and multicellular. There are types of mushrooms that can be consumed and some that can not be consumed. Digital recognition of mushroom types is a possible approach to provide information to the public or public who want to know which mushrooms are safe for consumption and which are not. The step in the classification of the types of mushrooms in this study consists of three steps. The first step, Image Pre Processing, is done by converting an RGB image to grayscale and creating a histogram graphic. The second step is Feature Extraction, which is carried out by implementing the 1st order statistical method. This research uses the 1st order statistical method with 5 parameters, namely the mean, skewness, variance, kurtosis, and entropy. And the third step is to perform classification using the Naïve Bayes Gaussian method. The results of testing on 60 mushroom images that have been carried out by the cross validation method with nikai k = 4 obtained an accuracy value of 98.75%