INFOKUM
Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence

APPLICATIONNEURAL NETWORK PROBABILITYIN THE CLASSIFICATION OF BANANA FIT FOR EXPORT

Reni Aryanti (Universitas Pembangunan Panca Budi)
Zulfahmi Syahputra (Universitas Pembangunan Panca Budi)
Wirda Fitriani (Universitas Pembangunan Panca Budi)



Article Info

Publish Date
30 Aug 2022

Abstract

As food, bananas are a source of energy (carbohydrates) and minerals, especially potassium. Almost all ripe bananas are yellow, although some are orange, red, green, purple or almost black. In agriculture, to determine the type of fruit and the quality of the fruit, it can be determined by checking the size of the fruit, the shape of the fruit and the color of the skin of the fruit.Classification of types of bananas using the neural network probability method(PNN) as a method of classifying types of bananas that are suitable for export and suitable for domestic consumption with 750 training data and 250 testing data with categories of three types of bananas namely Ambon bananas, Barangan bananas and Kepok bananas and produces an accuracy of 85.2 %.

Copyrights © 2022






Journal Info

Abbrev

infokum

Publisher

Subject

Computer Science & IT

Description

The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the ...