The Comparison of Classification Accuracy on the Teak Wood Image Processing using Support Vector Machine (SVM) and Artificial Neural Network (ANN)

Mussalimun Mussalimun; Rahmat Robi Waliyansyah

Research Article

The Comparison of Classification Accuracy on the Teak Wood Image Processing using Support Vector Machine (SVM) and Artificial Neural Network (ANN)

by Mussalimun Mussalimun, Rahmat Robi Waliyansyah

International Journal of Applied Information Systems

Foundation of Computer Science (FCS), NY, USA

Volume 12 - Issue 38

Published: December 2021

Authors: Mussalimun Mussalimun, Rahmat Robi Waliyansyah

10.5120/ijais2021451922

PDF

Mussalimun Mussalimun, Rahmat Robi Waliyansyah . The Comparison of Classification Accuracy on the Teak Wood Image Processing using Support Vector Machine (SVM) and Artificial Neural Network (ANN). International Journal of Applied Information Systems. 12, 38 (December 2021), 21-27. DOI=10.5120/ijais2021451922

                        @article{ 10.5120/ijais2021451922,
                        author  = { Mussalimun Mussalimun,Rahmat Robi Waliyansyah },
                        title   = { The Comparison of Classification Accuracy on the Teak Wood Image Processing using Support Vector Machine (SVM) and Artificial Neural Network (ANN) },
                        journal = { International Journal of Applied Information Systems },
                        year    = { 2021 },
                        volume  = { 12 },
                        number  = { 38 },
                        pages   = { 21-27 },
                        doi     = { 10.5120/ijais2021451922 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }

                        %0 Journal Article
                        %D 2021
                        %A Mussalimun Mussalimun
                        %A Rahmat Robi Waliyansyah
                        %T The Comparison of Classification Accuracy on the Teak Wood Image Processing using Support Vector Machine (SVM) and Artificial Neural Network (ANN)%T 
                        %J International Journal of Applied Information Systems
                        %V 12
                        %N 38
                        %P 21-27
                        %R 10.5120/ijais2021451922
                        %I Foundation of Computer Science (FCS), NY, USA

Abstract

Tropical climate in Indonesia resulted this country having the largest and most tropical rainforests. Numerous types or varieties of tress grow, however not all types have sale value. Teak wood among other types of wood is the top commodities due to its high-value. In general, the identification of wood types in Indonesia depends on the subjectivity of human’s eyes thus the process is slow and inaccurate. Therefore, technology is used to overcome human limitations in observing or analyzing the classification or grouping according to the wood types. This study aims to compare Classification Accuracy on Teak Wood Image Processing using Support Vector Machine (SVM) and Artificial Neural Network (ANN) with 3 data varieties namely semarangan, blora, and Sulawesi. Based on the results of tests and analyses carried out, it can be concluded that classification method ANN obtained higher accuracy with 76.0% accuracy value compared to SVM with 72.0% accuracy value.

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Index Terms

Computer Science

Information Sciences

No index terms available.

Keywords

Teakwood SVM ANN Classification Digital Image