KLASIFIKASI TANAMAN REMPAH MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK BERBASIS R
No Thumbnail Available
Date
2022-12
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elfitra
Abstract
Spices have many types. Some are used as seasoning for cooking and some are used as
herbal medicine. Of the many spices that exist, it is not uncommon for spices to have a
similar looks so few people have it difficult distinguishing them. For example, Ginger,
Turmeric, Galangal, and Temulawak. This research aims to perform image recognition
of the four spices and form a CNN classification model that can distinguish the four
spices. This research will use 180 spice images as samples where each type has 45
image samples. Then the model is formed using the R programming language with the
help of the Keras package and the tensorflow package. because making a neural
network model using Keras does not need to write code to express mathematical
calculations one by one. Testing with a sample of 40 spice images shows an accuracy
rate of 85% which is considered to have been able to classify the differences between
the types of spices that tested.
Description
Keywords
Galangal, Ginger, Image, Image Preprocessing, Keras, R, Spice, Temulawak, Turmeric
Citation
Perpustakaan