Analysis Naïve Bayes In Classifying Fruit by Utilizing Hog Feature Extraction

JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING

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Field Value
 
Title Analysis Naïve Bayes In Classifying Fruit by Utilizing Hog Feature Extraction
 
Creator Muhathir, Muhathir
Santoso, Muhammad Hamdani
Muliono, Rizki
 
Subject
Apple; Avocado; Apricot; Banana; Naïve Bayes; HOG
 
Description Indonesia has abundant natural resources, especially the results of its plantations. Lots of local fruit that can be used starting from the root to the skin of the fruit. Local fruit can be consumed as fresh fruit and can also be processed into drinks and food. This is reflected in the diversity of tropical fruits found in Indonesia. Fruits that are rich in benefits and can be used as medicines such as Apples, Avocados, Apricots, and Bananas. These fruits are often found around us. In Indonesia these fruits are produced and also exported abroad. However, the limited methods and technology used to classify this fruit are interesting things to discuss and become the main focus in this research. This study analyzed using the Naïve Bayes algorithm and feature extraction of HOG (Oriented Gradient Histogram) to obtain more effective classification results. The results showed that the collection of fruit using the Naïve Bayes method and HOG feature extraction had not yet obtained maximum classification results, only with an accuracy of 56.52%.Keywords – Apple, Avocado, Apricot, Banana, Naïve Bayes, HOG.
 
Publisher Universitas Medan Area
 
Contributor
 
Date 2020-07-20
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ojs.uma.ac.id/index.php/jite/article/view/3860
10.31289/jite.v4i1.3860
 
Source JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING; Vol 4, No 1 (2020): ---> EDISI JULI; 151-160
2549-6255
2549-6247
10.31289/jite.v4i1
 
Language eng
 
Relation http://ojs.uma.ac.id/index.php/jite/article/view/3860/2780
 
Rights Copyright (c) 2020 JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING)
http://creativecommons.org/licenses/by-nc/4.0
 

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