<![CDATA[Lettuce is a vegetable with high economic potential in Indonesia. However, every year, lettuce production decreases due to disease disturbances in these plants. Observation of conditions in lettuce plants can be seen in the changes that occur in lettuce leaves by looking directly at them. To speed up the process of handling infected vegetables, we need a system that can accurately detect the presence of the disease. Disease detection in hydroponic lettuce is required to reduce crop failure risk and plan a strategic control effort. The number of diseases in lettuce is quite large, and the lack of understanding of the symptoms of the diseases makes it quite difficult for farmers to know which disease is attacking. Therefore, a system that is able to detect diseases on lettuce leaves is needed, especially in hydroponic lettuce plants. Tip Burn Detection System in Hydroponic Lettuce Using the Threshold Method on Hue Saturation Value Color is used to detect tip burn disease in lettuce leaves. This study uses a camera module as input for the detection process, then the captured images are processed on a computer to obtain detection results through a user interface application. This disease detection system uses the Hue, Saturation, and Value (HSV) color features, which are used to analyze the color changes of disease-infected leaves. In the disease detection process, the thresholding segmentation method was used with the results of normal lettuce leaves and tip-burn lettuce leaves. Detection of disease in hydroponically grown lettuce leaves using this method and 18 test samples produces an accuracy value of 94%.]]>
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