@article{Ovidius_Nurcahyo_Sumijan_Salambue_2021, title={Accuracy in Identifying Orchid Images Using Backpropagation Artificial Neural Network}, volume={3}, url={https://jidt.org/jidt/article/view/115}, DOI={10.37034/jidt.v3i3.115}, abstractNote={<p><em>Orchids are ornamental flower plants in the Family Orchidaceae whose habitat is spread over almost all continents in the world, except Antarctica.&nbsp; There are so many orchid enthusiasts in Indonesia and this fact made orchids a promising commodity for ornamental plant cultivator.&nbsp; With a variety of orchid species that reach more than 25,000 species, the identification of orchid species becomes a little complicated for orchid lovers.&nbsp; The purpose of this study was to determine the accuracy level of orchid species identification through image recognition so that it can be used as a reference in determining the feasibility of this method.&nbsp; This study used 120 images of orchids in 6 species.&nbsp; The image of the orchid was obtained by shooting at several locations using the camera.&nbsp; The photo is then processed using image processing software by cropping and resizing to speed up computing time during network training.&nbsp; Furthermore, MatLab software is used to perform the feature extraction process in the form of color feature data and moment invariants.&nbsp; Data from feature extraction is used as input for training artificial neural networks using the Back Propagation method.&nbsp; Calculation of the level of accuracy done by testing the network using the test data that has been provided.&nbsp; The trial results show that 26 of 30 were successfully recognized so that the accuracy rate can be calculated, namely 86.7%.&nbsp; An accuracy rate of 86.7% can be considered feasible and can be used as a basis for consideration of using this tested method as the right method for identifying orchids through images.</em></p&gt;}, number={3}, journal={Jurnal Informasi dan Teknologi}, author={Ovidius, Ardia and Nurcahyo, Gunadi Widi and Sumijan and Salambue, Roni}, year={2021}, month={Sep.}, pages={95-102} }