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Articles by Budhi Irawan
Total Records ( 2 ) for Budhi Irawan
  Salma asti Shofia Rosyda , Budhi Irawan and Anggunmeka Luhur Prasasti
  Arabic is one of the languages which attracted, needed and used by a lot of people in the world. Many countries have used Arabic language in courses which related to the international world. Arabic also used by Muslim people, beacause Arabic is the main language of the hooly book of Muslim (Quran). The importance to know and to understand the basic of Arabic language for the temporary needs like when we travel to a country which use Arabic as their main language include during Hajj and Umrah. At this time the smartphone has become a major need for humans, based on that then made Arabic writing recognition application which aims to help pilgrims of Hajj and Umrah who can not speak Arabic. In this study, the method used is the method of Convolutional Neural Network (CNN). Test results from Arabic handwritten image classification using CNN resulted in an average accuracy of 60%. It can be concluded that the CNN method used in this application is able to do a good classification.
  Mohammad Rizky Adhiguna , Budhi Irawan and Anggunmeka Luhur Prasasti
  Money is the most commonly used means of payment by the public. But without denying fake money is widely circulated and there are still many people who are less accurate in recognizing the authenticity of the money. This will be bad for social life as we known that money is main payment that can use by everyone. For people with disabilities that lack of visual itself will be hard to know the identity from the money. With this problem in this research will be designed and implemented an Android based mobile application that can recognize currency with image. Applications designed using the Scale Invariant Feature Transform (SIFT) method that can provide information to users about their nominal and authenticity of the money using Indonesian. This application can help people who are less aware of information about genuine money and people with disabilities to find informations about authenticity of Foreign currency. With this application people with disabilities, also can tell the identity of the money itself with more accurate considering this app has implemented by SIFT method on feature extraction but the process time will be longer because the SIFT method itself has a fairly complicated calculation process. From these complex calculations will also produce better accuracy.
 
 
 
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