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All Journal International Journal of Electrical and Computer Engineering ComEngApp : Computer Engineering and Applications Journal
Ade Silvia
Politeknik Negeri Sriwijaya
Computer Science & IT Electrical & Electronics Engineering Engineering

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Intelligent Sensing Using Metal Oxide Semiconductor Based-on Support Vector Machine for Odor Classification Nyayu Latifah Husni; Siti Nurmaini; Irsyadi Yani; Ade Silvia
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1148.853 KB) | DOI: 10.11591/ijece.v8i6.pp4133-4147

Abstract

Classifying odor in real experiment presents some challenges, especially the uncertainty of the odor concentration and dispersion that can lead to a difficulty in obtaining an accurate datasets. In this study, to enhance the accuracy, datasets arrangement based on MOS sensors parameters using SVM approach for odor classification is proposed. The sensors are tested to determine the sensors' time response, sensors' peak duration, sensors' sensitivity, and sensors' stability when applied to the various sources at different range. Three sources were used in experimental test, namely: ethanol, methanol, and acetone. The gas sensors characteristics are analyzed in open sampling method to see the sensors' performance in real situation. These performances are considered as the base of choosing the position in collecting the datasets. The sensors in dynamic experiment have average of precision of 93.8-97.0%, the accuracy 93.3-96.7%, and the recall 93.3-96.7%. This values indicates that the collected datasets can support the SVM in improving the intelligent sensing when conducting odor classification work.
Swarm Robot Implementation in Gas Searching Using Particle Swarm Optimization Algorithm Nyayu Latifah Husni; Ade Silvia; Siti Nurmaini; Falah Yuridho; Irsyadi Yani
Computer Engineering and Applications Journal Vol 6 No 3 (2017)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (605.811 KB) | DOI: 10.18495/comengapp.v6i3.221

Abstract

In this reseach, a PSO method is impelemented in searching a gas leakage. A swarm robot consisted of 3 agents, yelow, blue, and green, was used. The research was done in 2 type of experiments, i.e. in simulation and real expeiment. A Matlab is used as a simulation validation while for the real experiment, a 2 x 2 m arena is used. From the experiment, it can be concluded that a good performance of a swam can be achieved using PSO method.
Swarm Intelligent in Bio-Inspired Perspective: A Summary Nyayu Husni Latifah; Ade Silvia; Ekawati Prihatini; Siti Nurmaini; Irsyadi Yani
Computer Engineering and Applications Journal Vol 7 No 2 (2018)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (612.245 KB) | DOI: 10.18495/comengapp.v7i2.255

Abstract

This paper summarizes the research performed in the field of swarm intelligent in recent years. The classification of swarm intelligence based on behavior is introduced. The principles of each behaviors, i.e. foraging, aggregating, gathering, preying, echolocation, growth, mating, clustering, climbing, brooding, herding, and jumping are described. 3 algorithms commonly used in swarm intelligent are discussed. At the end of summary, the applications of the SI algorithms are presented.
Co-Authors Ekawati Prihatini Falah Yuridho Husni, Nyayu Latifah Irsyadi Yani Siti Nurmaini