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Information technology is needed in almost all fields of industry, including the pharmaceutical industry, namely herbal medicines and herbs. That herbal medicine and herbal medicine is one of the leading commodities in the health sector in Indonesia which is produced using medicinal plants as the main ingredient. Many types of medicinal plants with various properties require a database and identification that is precise and consistent in documenting and classifying it. Determination of the type of plant and its properties can be done using visual data, namely the image of medicinal plant leaves. Each type of medicinal plant has relatively different physical characteristics, ranging from the physical characteristics of the leaves, stems, flowers, fruits, and roots up to the condition of the plants fertile growing environment. Through physical characteristics in the image that is shape, color and texture will be found the identity of medicinal plants with their properties. Characteristics or physical features of medicinal plant leaves stored in the leaf image database are strongly influenced by conditions when shooting leaf images such as lighting, the position of the camera and the distance of the camera to the object that will affect the results of identification. The test results show that the Identification Model of medicinal plant types and medicinal properties using the shape, color and texture features has a relatively high accuracy of more than 90% so this supports the recognition of medicinal plant types and their efficacy is more valid