Mardiana, I Dewa Gede Rai and Wahyunggoro, Oyas and Soesanti, Indah (2013) Rancang Bangun Robot Dengan Electronic Nose Untuk Mengidentifikasi Gas Menggunakan Multi Layer Perceptron. In: Seminar Nasional Sistem & Teknologi Informasi (SNASTI) 2013, 24 Oktober 2013, Surabaya.

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Abstract

Research in the field of robotics development equipped with electronic nose is a new challenge. By implementing electronic nose, the robot can identify and mitigate the risks arising from the interaction between humans and harmful gases. This research used robotino that was programmed and equipped with electronic nose to make it more easy and flexible to be controlled by humans to approach the object (toxic gas), as well as designing an artificial intelligence (Multi Layer Perceptron) with Error Back Propagation method to gain the weight. The weight that was obtained will be applied to a robot, so by using feed forward process according to these weigh, the robot was able to precisely and quickly identify gasses that were obtained from the output of TGS array sensors. Experiment result shows that by training 12 sample data, the robot is able to classify gasoline and alcohol with the accuracy of 100%.


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Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN : 978-979-8968-36-5
Uncontrolled Keywords: Robot, Electronic Nose, Multi Layer Perceptron, Back Propagation
Subjects: 600 – Technology > 650 Management & auxiliary services
Divisions: Penelitian dan Pengabdian Masyarakat > Seminar Nasional Sistem & Teknologi Informasi (SNASTI) 2013
Depositing User: Agung P. W.
Date Deposited: 08 Sep 2014 02:34
Last Modified: 08 Sep 2014 02:34
URI: http://sir.stikom.edu/id/eprint/554

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