The quality of coconut wood needed in the wood industry requires a process in assessing the quality of wood. The quality of coconut wood is needed by looking at differences in the pattern of coconut sliced ​​wood per unit area. Image classification technique helps the classification process determine the quality of coconut wood which is a pixel grouping technique to obtain an image of an object that is represented by a feature, class or material. The data used are coconut wood data which are grouped by density which is useful for selecting wood quality based on visualization. UML-based visual modeling is used for the application of developing coconut wood quality classification.