Object recognition in images is one of the problems that continues to be faced in the world of computer vision. Various approaches have been developed to address this problem, and end-to-end object detection is one relatively new approach. End-to-end object detection involves using the CNN and Transformer architectures to learn object information directly from the image and can produce very good results in object detection. In this research, we implemented ResNet-50 in an End-to-End Object Detection system to improve object detection performance in images. ResNet-50 is a CNN architecture that is well-known for its effectiveness in image recognition tasks, while DETR utilizes Transformers to study object representations directly from images. We tested our system performance on the COCO dataset and demonstrated that ResNet-50 + DETR achieves a better level of accuracy than DETR models that do not use ResNet-50. In addition, we also show that ResNet-50 + DETR can detect objects more quickly than similar traditional CNN models. The results of our research show that the use of ResNet-50 in the DETR system can improve object detection performance in images by about 90%. We also show that using ResNet-50 in DETR systems can improve object detection speed, which is a huge advantage in real-time applications. We hope that the results of this research can contribute to the development of object detection technology in images in the world of computer vision.
Infobengkel website is a website that provides information about available workshops in a certain area. With this, users can find information about the workshop they want easily and quickly. in this study to analyze the usability of the infobengkel website assisted by the Heuristic Evaluation method and End User Computing Satisfaction. both methods are used to analyze the usability of the website and measure the level of user satisfaction of the website. from the results of the study it was stated that the website of workshop information was satisfied by the users. where the End User Computing Satisfaction method gets a value of 7.326 or 73.26% while for the Heuristic Evaluation method it gets a value of 7.204 or 72.04%. After doing the analysis, we get several recommendations for improvement that need to be considered in the website, such as the Format variable in the End User Computing Satisfaction method and the Aesthetic and Minimalist Design variable and Help and Documentation in the Heuristic Evaluation method.
IDS Education is an online course application. users or users can follow the various classes available in the application. These classes have a variety of class choices offered and the class learning is fully online making it easier to do learning anywhere and anytime. to maintain a positive image of the application, a usability evaluation of an application display and user comfort in using the application is made. The evaluation aims to measure the level of satisfaction for users of the IDS Education application. there are two methods used, namely End-User Computing Satisfaction and PIECES. Both methods are used to find the level of user satisfaction. the End User Computing Satisfaction got a score of 4,498 with a very satisfactory level of user satisfaction. and for the PIECES method to get a score of 4.38 with a very satisfying level of user satisfaction. besides that, it also uses the PageSpeed Insights tool to assess the performance of the homepage on the IDS Education application. The Performance value obtained on PageSpeed Insights is 78, this shows that the homepage has a pretty good Performance.
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