30/08/2015 Uncategorized
UPH Faculty of Computer Science commits to increase the education service quality to students through the lecturers who are competent in their fields
UPH Faculty of Computer Science commits to increase the education service quality to students through the lecturers who are competent in their fields
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Dr. Benny Harjono, 5th from the left, after the open session for Computer Science doctorate conferment at Fasilkom UI | ||||
UPH Faculty of Computer Science commits to increase the education service quality to students through the lecturers who are competent in their fields. Dr. Benny Hardjono, lecturer of FIK UPH, has just finished his doctoral program in Faculty of Computer Science of Universitas Indonesia, and has returned to lecture full time in Informatics major at UPH. Dr. Benny Hardjono achieved a doctoral title with a dissertation entitled ?Modified Macroscopic Traffic Vehicle Modeling for Smartphone?s Virtual Detection Zone”. The idea of the topic is based on the traffic jam problem in Indonesia and the solution and the use of Smartphone with GPS. According to Dr. Benny in his dissertation, to solve the traffic jam problem, it needs concrete and complete traffic information, so that the road users can monitor, predict, and avoid traffic jam. However, Indonesia has not yet succeeded to systematically gather traffic data and make it applicable. One way to gather data systematically is by using a Smartphone with GPS as traffic sensors. This method can complement the pre-existing non-intrusive methods. Using non-intrusive sensors to gather traffic data is more practical and cheaper to implement compared to using intrusive sensors like inductive loop sensor which needs to be embedded in the roads. This new method, which by the researcher has been named Virtual Detection Zone (VDZ), has been proposed, tested, and proven to be able to provide traffic data via an embedded application in a smartphone with GPS, carried by agents. The experiments show that VDZ method has been able to map match against the pre-determined GPS coordinates-check points using Google Map and gather data in high accuracy. It makes short-term traffic prediction without intrusive sensor becomes possible.
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