This paper implements static hand gesture recognition in recognizing the alphabetical sign from "A" to "Z", number from "0" to "9", and additional punctuation mark such as "Period", "Question Mark", and "Space" in Sistem Isyarat Bahasa Indonesia (SIBI). Hand gestures are obtained by evaluating the contour representation from image segmentation of the glove wore by user. Then, it is classified using Artificial Neural Network (ANN) based on the training model previously built from 100 images for each gesture. The accuracy rate of hand gesture translation is calculated to be 90%. Moreover, speech translation recognizes NATO phonetic letter as the speech input for translation.

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<p>People are still using paper money for daily transaction; this, however, will expose some difficulty for visually impaired people. Though they can still read the nominal value of the paper money by the other people or feel the tactile feature, they cannot depend upon others all the time and the tactile feature does not work well if the paper money is worn out. Some alternatives have been proposed and conducted. One of them is using money value recognition application. The application will recognize nominal value of paper money comparing the image of the paper with database. This process is using a feature extraction algorithm called ORB feature descriptor. It has been used for six (6) different types of currencies that are 5 most traded currencies and Indonesia currency and also for different types of nominals (bills).</p>

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The lifestyle of the current year’s people is very different with the lifestyle of the people eight years ago. Start from the booming of Facebook as social media. It changes the ways of communicating. Those can be said that is the turning point of the digital era, from then the people are educated to share everything online and from those sharing it creates the opportunity to gather information that also affecting the change of conventional business process. Just one simple application can change the lifestyle of million people. From then, many other mobile application has help the simple task in our life.This work that developed an application named, Application for Searching Hangout Places Based on Middle Point of Participant’s Location ( MEEDLE ), will discuss the development of solving the simple problem of searching and deciding hangout place based on the data that internet shared. This application will give the user ease and effectiveness while using.