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Febrianti M S
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Computer Science & IT Engineering

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Analysis Color Control LED (Light Emitting Diode) On Traffic Light Revolution Pratama R A; Febrianti M S
International Conference on Engineering and Technology Development (ICETD) 2017: 4rd ICETD 2017
Publisher : Bandar Lampung University (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (498.212 KB)

Abstract

The issue of transportation in various forms is one of the main problems faced by the world's cities, including cities in Indonesia. Vehicle growth, increased traffic intensity of goods and services as well as increased user population associated disproportionate availability of roads and supporting facilities resulted in a wide range of crucial issues. Where lead to reduced effectiveness and efficiency of the transportation system in support of the mobility of society. Traffic congestion is one of the main problems in the transportation system. Based Data Transport Statistics 2013 & 2014 are sourced from statistics Indonesia (BPS Catalog: 8301007) cite an increase in the number of vehicles is high at 10.39 per cent per year on all types of vehicles. Coupled with the specific transportation community awareness so that adds a level of congestion becomes worse. Signs and traffic lights play an important role in regulating the traffic lane so that the public transport can be wise in using the road, especially in the port city of Lampung.
The Implementation of Object Recognition using Deformable Part Model (DPM) with Latent SVM on Lumen Robot Friend Kurniawan A; Saputra R; Marzuki Marzuki; Febrianti M S; Prihatmanto A S
International Conference on Engineering and Technology Development (ICETD) 2017: 4rd ICETD 2017
Publisher : Bandar Lampung University (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (590.39 KB)

Abstract

Object recognition is part of image processing. It is used to recognize the surrounding objects based on their features, then they are processed further to obtain valid data information that can be used for other purposes. Currently, object recognition is mostly used by robot developers as one of the features in humanoid robot. One of the recent challenges occurring in humanoid robot is how the robot detects and localizes generic objects from categories such as human or car in static images using sensory visuals. It is a difficult problem since objects in such categories vary both in appearance and shape. For example, it is difficult to recognize an object that most of its shape is blocked by other objects. To solve the problem, researcher used Deformable Part Model and latent svm methods, where the data collection was performed through Library Research and Field Research approaches. The conclusion of this research is that recognition to objects using deformable part model provides a passable accuracy. After 3 experiments had been performed, system was able to recognize objects with highest reach by 88%.
Co-Authors Kurniawan A Marzuki Marzuki Pratama R A Prihatmanto A S Saputra R