ArticleOpen AccessMetadata saja
2017•Artikel Penelitian dan Pengabdian
Innovation Augmented Reality (AR) is widely used in various fields of media presentation of information such as the interactive learning media, marketing, supply and sale of an organization, service, or product. Colleges still use the brochure as a media campaign, but with the AR, the promotion of existing facilities can be presented in an interactive form. Information can be presented in the form of 3D animation, which can be accessed on Android smartphones and tablets, the goal is to attract students to the college offered. The facilities are presented in the form of virtual 3D is a map and the building, a library, classrooms, and laboratories. A Marker used to identify the camera is a college logo on brochures which combined with red and blue lines.
ArticleOpen AccessMetadata saja
2017•Artikel Penelitian dan Pengabdian
Expert System which is a branch of Artifical Intelligence, who learned about the estimation or decision-making ability of an expert. Methods and concepts are still needed in solving the problem of diagnosis, with engineering calculations involve computing systems., given the level of need for information and resolving cases. The application development is aimed at implementing the knowledge of an expert into a program that can help in diagnosing the symptoms of skin health problems in cats. Dempster Shafer (DS) is a method that is non monotonous in solving the problem of uncertainty due to the addition or subtraction of new facts.The system is made to diagnose the type of skin disease in cats after applying the method of DS. The system can also perform data management if there is a data change disease, symptoms, treatment solutions, as well as the rules of the disease. The diagnosis system with DS according to analysis from experts.
ArticleOpen AccessMetadata saja
2017•Artikel Penelitian dan Pengabdian
Digital image processing is part of the technological developments in the concepts and reasoning, the human wants the machine (computer) can recognize images like human vision. Recognizing the image is one way to distinguish the traits that exist in the image. Texture is one of the characteristics that distinguish the image, is the basic characteristic of the image identification. Gray Level Co-Occurrence Matrix (GLCM) is one method of obtaining characteristic texture image by calculating the probability of adjacency relationship between two pixels at a certain distance and direction. The characteristics of texture obtained from GLCM methods include contrast, correlation, homogeneity, and energy. The extracted features are then used for identification with the nearest distance calculations (Eucledian Distance). The final results analysis program to identify the category of apples raw, half-ripe or overripe. Training data used are 12 images apple, consisting of 4 is crude, 4 is half-cooked, and 4 is ripe, 7 data used for testing. Testing GLCM with 00 angle feature extraction results of the test images can be recognized by a factor Eucledian Distance to the query image. Identification of test data is information all the data can be recognized. Eucledian Distance is a method that helps the introduction of a test object data.
