Gede Pramudya Ananta

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This paper presents an intelligent system for disabled people to have a full control of computers using biometric detection so that they can still operate computers like normal people do. An idea behind this project is a fact that the emergence of difficulties for disabled people to interact with computers. For instance, paralyzed people are unable to(More)
This paper explains about the architecture of ULUL-ILM : a web-based Adaptive Educational Hypermedia System (AEHS) that focuses on student's learning styles. It enables to recognize the student's learning style automatically in real time by means of Multi Layer Feed-Forward Neural network (MLFF). The MLFF is embedded to the system because of its ability to(More)
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