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Review on Odor Localization Husni, Nyayu Latifah; Nurmaini, Siti; Yani, Irsyadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.2.597

Abstract

In this paper, the importance of odor localization is explained. The researchers that investigated the experiments and applications of odor localization using static sensors, mobile sensors (that were integrated in single robot, multi robot, and swarm robot) are described. However, there are some difficulties faced by the researchers in applying the mobile robots in the real situation, such as: the speed of mobile robots are not as fast as the odor patches transporting and the use of more than one sensor in mobile robot can make noises or errors. In the future, the plume finding in the uncertain environment and the challenges mentioned above will be the authors’ consideration.
Review on Odor Localization Husni, Nyayu Latifah; Nurmaini, Siti; Yani, Irsyadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (833.319 KB) | DOI: 10.11591/eecsi.v2.807

Abstract

In this paper, the importance of odor localization isexplained. The researchers that investigated the experimentsand applications of odor localization using static sensors, mobilesensors (that were integrated in single robot, multi robot, andswarm robot) are described. However, there are some difficultiesfaced by the researchers in applying the mobile robots in the realsituation, such as: the speed of mobile robots are not as fast asthe odor patches transporting and the use of more than onesensor in mobile robot can make noises or errors. In the future,the plume finding in the uncertain environment and thechallenges mentioned above will be the authors’ consideration.
Target Tracking in Mobile Robot under Uncertain Environment using Fuzzy Logic Controller Handayani, Ade Silvia; Dewi, Tresna; Husni, Nyayu Latifah; Nurmaini, Siti; Yani, Irsyadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (906.449 KB) | DOI: 10.11591/eecsi.v4.981

Abstract

This paper discusses a design of fuzzy logic algorithm in a robot.   This algorithm is useful for the robot in seeking and reaching the target.  The robot is also accomplished with an ability to avoid obstacles. Although the fuzzy rule that is embedded to the robot is very simple, it gives a good result in target seeking and obstacles avoiding task.   The originality of this research is an approach to the rules that can simplify the task by creating faster track for the robot in uncertain environment.  
Odor Localization using Gas Sensor for Mobile Robot Husni, Nyayu Latifah; Handayani, Ade Silvia; Nurmaini, Siti; Yani, Irsyadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (561.309 KB) | DOI: 10.11591/eecsi.v4.1087

Abstract

This paper discusses the odor localization using Fuzzy logic algorithm. The concentrations of the source that is sensed by the gas sensors are used as the inputs of the fuzzy. The output of the Fuzzy logic is used to determine the PWM (Pulse Width Modulation) of driver motors of the robot. The path that the robot should track depends on the PWM of the right and left motors of the robot.  When the concentration in the right side of the robot is higher than the middle and the left side, the fuzzy logic will give decision to the robot to move to the right. In that condition, the left motor is in the high speed condition and the right motor is in slow speed condition. Therefore, the robot will move to the right.   The experiment was done in a conditioned room using a robot that is equipped with 3 gas sensors. Although the robot is still needed some improvements in accomplishing its task, the result shows that fuzzy algorithms are effective enough in performing odor localization task in mobile robot.
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.
Metal Oxides Semiconductor Sensors for Odor Classification Nyayu Latifah Husni; Ade Silvia; Siti Nurmaini; Irsyadi Yani
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 6, No 3: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.242 KB) | DOI: 10.11591/ijres.v6.i3.pp133-149

Abstract

The performance of gas sensor will differ and vary due to the surrounding environment changing, the way of implementation, and the position of the sensors to the source. To reach a good result on gas sensors implementation, a performance test on sensors is needed. The results of the tests are useful for characterizing the properties of the particular material or device. This paper discusses the performances of metal oxides semiconductor (MOS) sensors. The sensors are tested to determine the sensors' time response, sensors' peak duration, sensors' sensitivity, and sensors' stability of the sensor 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 in order to see the sensors' sensitivity to the uncertainty disturbances, such as wind. The result shows that metal oxides semiconductor sensor was responsive to the 3 sources not only in static but also dynamic conditions. The expected outcome of this study is to predict the MOS sensors' performance when they are applied in robotic implementation. This performance was considered as the training datasets of the sensor for odor classification in this research. From the experiments, It was got, in dynamic experiment, the senrors has average of precision of 93.8-97%, the accuracy 93.3-96.7%, and the recall 93.3-96.7%. This values indicates that the sensors were selective to the odor they sensed.
BESARAN ENERGI AKTIVASI DARI OKSIDASI HASIL PENGECORAN ALUMINIUM KALENG MINIMUM YANG MENDAPAT PERLAKUAN PANAS QUENCHING DAN ANNEALING Nukman Nukman; Muhammad Dahlan; Firdaus M S Firdaus MS; Irsyadi Yani; Amir Arifin
AUSTENIT Vol. 11 No. 2 (2019): AUSTENIT 11022019
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (561.212 KB) | DOI: 10.5281/zenodo.4547807

Abstract

Thermogravimetry analyzer adalah suatu alat untuk melakukan analisa thermal dimana massa bahan uji akan berbanding terbalik atau berbanding lurus dengan laju temperatur yang meningkat dan fungsi waktu (temperatur meningkat konstan). TGA biasanya digunakan untuk menentukan karakteristik material. Kurva naiknya massa material Aluminium dapat digunakan untuk mengetahui oksidasi. Titik naiknya massa material bisa digunakan untuk menghitung energi aktivasi. Penelitian ini menggunakan alat Thermogravimetry Analyzer (TGA) Exstar SII 7300 dengan 3 (tiga) sampel yang berbeda yaitu: Sampel Non Heat Treatment, Sampel Quenching, Sampel Annealing.  Hasil pengujian didapatkan bahwa energi aktivasi pada keadaan temperatur 400-6500C ramp 10 pada sampel non heat treatment E = 30,137 kJ/mol. Pada quenching E = 23,537 kJ/mol. Pada annealing E = 28,373 kJ/mol.
Peleburan Skrap Aluminium pada Tungku Krusibel berbahan Bakar Batubara Hasil Proses Aglomerasi Air-Minyak Sawit Nukman Nukman; Agung Mataram; Irsyadi Yani
JURNAL MECHANICAL Vol 6, No 1 (2015)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/mech.v6.i1.201502

Abstract

Smelting aluminum scrap in a small capacity can be done on a simple furnace crucible. As fuel furnaces used type of semi-anthracite coal briquettes, bituminous and sub-bituminous from Tanjung Enim which has been through the washing process by agglomeration method using water-oil palm. Calorific value, the contents of water and hydrogen calculated in the energy balance. Aluminum scrap smelted at a temperature 1023oK. Furnace by coal briquette which has a 23.38% efficiency,, crucible can melt 50 kg of aluminum scrap by 6.47 kg of briquettes for 1 hour 46 minutes.Keywords:coal briquette, coal aglomeration, aluminum scrap, crusible furnace
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.