Jurnal E-Komtek
Vol 5 No 1 (2021)

Implementation of Machine Learning Using the Convolution Neural Network Method for Aglaonema Interest Classification

Rasyid, Rachmat (Unknown)
Abdul Ibrahim (Unknown)

Article Info

Publish Date
28 Jun 2021

Abstract

One of the wealth of the Indonesian nation is the many types of ornamental plants. Ornamental plants, for example, the Aglaonema flower, which is much favored by hobbyists of ornamental plants, from homemakers, is a problem to distinguish between types of aglaonema ornamental plants with other ornamental plants. So the authors try to research with the latest technology using a deep learning convolutional neural network method. It is for calcifying aglaonema interest. This research is based on having fascinating leaves and colors. With the study results using the CNN method, the products of aglaonema flowers of Adelia, Legacy, Widuri, RedKochin, Tiara with moderate accuracy value are 56%. In contrast, the aglaonema type Sumatra, RedRuby, has the most accuracy a high of 61%.

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Journal Info
Jurnal E-Komtek
Website

Abbrev

E-KOMTEK

Publisher

Politeknik Piksi Ganesha Indonesia

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Jurnal E-Komtek (Elektro-Komputer-Teknik) is a Journal that contains scientific articles in the form of research results, analytical studies, application of theory, and discussion of various problems relating to Electrical, Computer, and Automotive Mechanical ...