Augmented reality is a visual technology which combines virtual objects into the real environment in real time. E-tourism in Bali needs to be optimized, so that information technology can help tourists and provide new experiences when traveling. Generally, tourists wish for gaining information in an attractive way about visiting tourism objects. Nowadays, mobile-based application programs that provide information about tourism objects in Bali are rarely found. Therefore, it is important to develop an application which provides information system about tourism objects, especially about the Tanah Lot temple. By implementing augmented reality technology, which grows rapidly all over the world, the application of DewataAR can show 3 dimensional objects, video, and audio information of the temples. The application works by scanning brochure of tourism object by using an Android smartphone or tablet, then it can display 3 dimensional objects, video, and audio information about those tourism objects. Hence, augmented reality can be alternative media for promoting tourism object attractively for tourists and also be able to develop tourism in Bali.

Herbs are used in traditional medicine. There are so many herbs are spread across the world, it is difficult to memorize it all. This paper describes an android application to recognize herbs by their leaf characteristics (shape, veins, and keypoints). Shape and veins of leaves are recognized by Invariant Moment Method as the feature extraction. City Block Distance used to calculate the distance between the features. Whereas for detection and keypoints extraction using Oriented FAST and Rotated BRIEF on OpenCV library. This keypoints distance calculation using Brute-Force Hamming. Matching is done by calculating the shortest distance between test image and reference image. If the result is less than or equal to threshold then image is match. Experiment result show this application can achieve 79% of success rate by using keypoints. This result is influenced by glossy leaf surface, so there is many reflected light that become noise.