Slamet Riyadi

User Interface Evaluation of Indonesian Online News Portals: Case Study of Vivanews and Detikcom

Following the advance of information technology, nowadays online news portal is very popular. By accessing news portal, people can easily read news from their smartphone, smart tab, and other mobile devices. In terms of human–computer interaction aspect, news portal should serve an effective interaction between the website and the readers. News portal should be designed based on standard interface design rules, which is commonly called Eight Golden Rules. The objective of this research is to evaluate the interface of two major Indonesian online news portals, Viva News and Detikcom. Both news portals were evaluated using heuristic method based on eight criteria; consistency, shortcut availability informative feedback, design dialog, error handling, easy reversal action, sense of user control, and reduce short-term memory load. The result shows the evaluation of each news portal and the comparison between both news portals. The evaluation result is then useful to improve the usability and functionality of the portals.

Analysis of Digital Image Using Pyramidal Gaussian Method to Detect Pavement Crack

Examination of road condition, especially pavement crack, needs to be done regularly. With regular checks, road conditions can be maintained to keep it comfortable for road users. Currently, the examination was carried out manually where the officers observe all pavement road and then take notes and mark the existence of cracks. This conventional method takes a long time, labour intensive and low consistency due to the human factor. To overcome the problem, this research proposes the use of digital image processing technique to detect the existence of cracked road surface. The detection technique is developed using Gaussian Pyramid method to create multiscale images and extraction of histogram and black-white area features. Linear discriminant analysis is then used to classify the crack and non-crack images. Based on experiment results, the method produces the accuracy of 92.8571% with 1.50 seconds of computation time per image. In conclusion, the proposed method successfully increase the accuracy of cracks detection on pavement surface.