The Quality Determination of Coconut Wood Density using Learning Vector Quantization

YUWONO, NGESTI and ANGGI PRAMUNENDAR, RICARDUS and NURTANTIO ANDONO, PULUNG and SUBANDI, AMONG (2013) The Quality Determination of Coconut Wood Density using Learning Vector Quantization. Jurnal Informatika.

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Abstract

Coconut wood is one of the wood species used in Indonesia as a material for furniture and building construction. Coconut wood quality in terms of strength and durability is determined by many factors, such as a vascullar bundle density pattern on the wood. Currently the quality determination of coconut wood were done visually by the expert by looking at the pattern density vascullar bundle on coconut wood. The coconut wood qualities visually were classified into patterns of low density, low quality coconut wood; patterns of medium density, medium quality coconut wood; patterns of high density, high quality coconut wood. The classification of coconut wood density pattern could be done by applying intelligent technique, such as Learning Vector Quatization (LVQ). The LVQ model is a classification method thah uses a competitive supervised learning algorithm. The experimental result showed that the accuracy was 65.7% with kappa value of 0.481. the obtained result had a sufficient congruence between assessment and appraisal target density using LVQ. Journal of Theoretical & Applied Information Technology;11/10/2013, Vol. 57 Issue 1, p82 http://www.jatit.org/volumes/Vol57No1/11Vol57No1.pdf

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