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29,393 Article Results

Computer Aided Diagnosis using Margin and Posterior Acoustic Featuresfor Breast Ultrasound Images

10.12928/telkomnika.v15i4.5021
Hanung Adi; Universitas Gadjah Mada, Indonesia Nugroho , Yuli; Universitas Gadjah Mada Politeknik Caltex Riau, Indonesia Triyani , Made; Universitas Gadjah Mada Politeknik Caltex Riau, Indonesia Rahmawaty , Igi; Universitas Gadjah Mada, Indonesia Ardiyanto
Breast cancer is the most commonly diagnosed cancer among females worldwide. Computer aided diagnosis (CAD) was developed to assist radiologists in detecting and evaluating nodules so it can improve diagnostic accuracy, avoid unnecessary biopsies, reduce anxiety and control costs. This research proposes a method of CAD for breast ultrasound images based on margin and posterior acoustic features. It consists of preprocessing, segmentation using active contour without edge (ACWE) and morphological, feature extraction and classification. Texture and geometry analysis was used to determine the characteristics of the posterior acoustic and margin nodules. Support vector machines (SVM) provided better performance than multilayer perceptron (MLP). The performance of proposed method achieved the accuracy of 91.35%, sensitivity of 92.00%, specificity of 89.66%, PPV of 95.83%, NPV of 81.26% and Kappa of 0.7915. These results indicate that the developed CAD has potential to be implemented for diagnosis of breast cancer using ultrasound images.
Volume: 15
Issue: 4
Page: 1776-1784
Publish at: 2017-12-01

Vision Based Human Decoy System for Spot Cooling

10.12928/telkomnika.v15i4.7229
Tan; Universiti Tun Hussein Onn Malaysia Chun Hou , Wan; Universiti Tun Hussein Onn Malaysia Nurshazwani Wan Zakaria , Tai; Universiti Tun Hussein Onn Malaysia Sue Jing , Razali; Universiti Tun Hussein Onn Malaysia Tomari , Tee; Universiti Tun Hussein Onn Malaysia Kian Sek , Anis; Universiti Tun Hussein Onn Malaysia Azwani Muhd Suberi
This project aims to reduce the energy consumption of air conditioner usage while maintaining occupant comfort. Cooling down the unoccupied space can be considered as waste of energy. Therefore, a human decoy system is proposed to track any human in the detection area. Image contains depth data in each pixel which can be used to detect the presence of target subject as well as their position. The acquired position data is processed by using MATLAB and subsequently is transmitted to Arduino Mega using serial communication to control stepper motors. The experimental results show that the air conditioner airflow is successfully can be directed to the target human subject with average response of 0.860 seconds per movement within detection area.
Volume: 15
Issue: 4
Page: 1512-1519
Publish at: 2017-12-01

Classification of Road Damage from Digital Image Using Backpropagation Neural Network

10.11591/ijai.v6.i4.pp159-165
Sutikno Sutikno , Helmie Arif Wibawa , Prima Yusuf Budiarto
One of the biggest causes of death in the world is a traffic accident. Road damage is one of the cause factors from the traffic accident. To reduce this problem is required an early detection against road damage. This paper describes how to classify road damage using image processing and backpropagation neural network. Image processing is used to obtain binary image consists of a normalization, grayscaling, edge detection and thresholding, while the backpropagation neural network algorithm is used for classifying. The conclusion of this test that the algorithm is able to provide the accuracy rate of 83%. The results of this research may contribute to the development of road damage detection system based on the digital image so that the traffic accidents caused by road damage can be reduced.
Volume: 6
Issue: 4
Page: 159-165
Publish at: 2017-12-01

Detection of Infiltrate on Infant Chest X-Ray

10.12928/telkomnika.v15i4.3163
Jufriadif; Universitas Putra Indonesia YPTK, Indonesia Na'am , Johan; Gunadarma University Jakarta, Indonesia Harlan , Gunadi Widi; Universitas Putra Indonesia YPTK Padang, Indonesia Nurcahyo , Syafri; Universitas Putra Indonesia YPTK Padang, Indonesia Arlis , Sahari; Universitas Putra Indonesia YPTK Padang, Indonesia Sahari , Mardison; Universitas Putra Indonesia YPTK Padang, Indonesia Mardison , Larissa Navia; Universitas Putra Indonesia YPTK Padang, Indonesia Rani
Currently, Chest X-ray is still widely used around the world for disease examination. This is due to its low cost, low radiation and a lot of disease information. The commonly detected disease using chest x-rays is lung disease. The characteristic of this disease is infiltrate. However, the accuracy of Chest X-ray observations is still low. Therefore, this research offers a method to perform Chest X-ray image processing in clarifying the information contained therein. This research used Chest X-ray of infant patients who treated at Central Public Hospital (RSUP) Dr. M. Djamil Padang. The total of the images tested were 17 images. In these images, there were some suspected infiltrates after being analyzed by doctors. Software used was Matlab which is conducted by applying image processing method. The method used consisted of 4 parts, that was Cropping, Filtering, Detecting Edge, and Sharpening Edge. The results of the research showed that the method could clarify edge detection of the objects contained in the image, so that the infiltrate could be more easily recognized. With this easiness, it will help the doctor to remove doubts for infiltrate observations in the Infant's lungs.
Volume: 15
Issue: 4
Page: 1938-1946
Publish at: 2017-12-01

The Use of Polymer Based Gas Sensor for Detecting Formalin in Food Using Artificial Neural Network

10.12928/telkomnika.v15i4.6164
Budi; Universitas Muria Kudus, Indonesia Gunawan , Arief; Universitas Jenderal Soedirman Grendeng, Indonesia Sudarmaji
The usage of formalin as preservative substance in food is dangerous and make much threat to public society. Yet, it is difficult to identify the presence of formalin in food sensory. It commonly requires laboratory-based testing to detect the formalin. This work describes a detector system of formalin presence in food which employs a series of polymer-based gas sensor and uses a neural network detection method. The sensors are the polymer-carbon composite which made of the polymer mixed with active carbon. There are four types of polymer used, i.e. Polyethylene Glycol (PEG) 6000, PEG200, PEG20M, and PEG1450. The polymer-carbon composite provided a unique characteristic when it is exposed to vapor of food with or without formalin. The resistance of each polymer is different for each detected vapor. The combination of those sensors gives a pattern of voltage output on the sensors when they are exposed certain gas so that every gas has its unique output pattern. The method of detection uses an algorithm of back-propagation of the neural network. That voltage pattern of sensors serves as input to an artificial intelligence program. The result shows that the system has the accuracy of 75% in detecting formalin in food.
Volume: 15
Issue: 4
Page: 1641-1650
Publish at: 2017-12-01

Pervasive Device and Service Discovery Protocol in Interoperability XBee-IP Network

10.12928/telkomnika.v15i4.5725
Sabriansyah Rizqika; Brawijaya University, Indonesia Akbar , Helmi; Brawijaya University, Indonesia Nizar , Wijaya; Brawijaya University, Indonesia Kurniawan , Mochammad Hannats; Brawijaya University, Indonesia Hanafi Ichsan , Issa; Brawijaya University, Indonesia Arwani
The Internet of Things (IoT) communication protocol built over IP and non-IP environment. Therefore, a gateway device will be needed to bridge the IP and non-IP network transparently since an IoT user is more likely to concern on the service provided by the IoT device, rather than the complexity of the network or device configuration. Since today ubiquitous computing needs to hide the architectural level from it users, the data & information centric approach was proposed. However, the data & information centric protocol is having several issues and one of them is device and service discovery protocol over IP & non-IP network. This paper proposed a pervasive device and service discovery protocol that able to work in interoperability of the IP and non-IP network. The system environment consists of a smart device with XBee Communication as the non-IP network that will send the device and service description data to the IP network using WebSocket. The gateway will able to recognize the smart device and sent the data to the web-based user application. The user application displayed the discovered devices along the services and able to send the control data to each of the smart devices. Our proposed protocol also enriched with the smart device inoperability detection by using keep-alive tracking from the gateway to each of the smart devices. The result showed that the delay for the user application to detect the smart device in the XBee network is around 10.13 ms delay, and the service average delay requested by the user application to each of the devices is 2.13 ms.
Volume: 15
Issue: 4
Page: 1875-1882
Publish at: 2017-12-01

A Literature Survey on Resource Management Techniques, Issues and Challenges in Cloud Computing

10.12928/telkomnika.v15i4.6574
Frederic; University of Science and Technology Beijing, China Nzanywayingoma , Yang; University of Science and Technology Beijing, China Yang
Cloud computing is a large scale distributed computing which provides on demand services for clients. Cloud Clients use web browsers, mobile apps, thin clients, or terminal emulators to request and control their cloud resources at any time and anywhere through the network. As many companies are shifting their data to cloud and as many people are being aware of the advantages of storing data to cloud, there is increasing number of cloud computing infrastructure and large amount of data which lead to the complexity management for cloud providers. We surveyed the state-of-the-art resource management techniques for IaaS (infrastructure as a service) in cloud computing. Then we put forward different major issues in the deployment of the cloud infrastructure in order to avoid poor service delivery in cloud computing.
Volume: 15
Issue: 4
Page: 1918-1928
Publish at: 2017-12-01

Diminishing Connectivity Failures by Auto-Reconfiguration in WSN

10.11591/ijeecs.v8.i3.pp662-666
K. Gugan , V. Saravanan
The Wireless Sensor Network is one of the most significant purposes behind the accomplishment of long range wireless communication. Frequent connectivity failures are occurred in the sensor-organised network due to obstruction, snags, message drop because of node energy depletion; obstacle and so forth. The total communication gets collapsed if there any lessening in the nature of correspondence or quality between the sensor nodes or from the sensor nodes to the sink nodes and this prompts to connection failures. To overcome the frequent connectivity failures we propose Diminishing Connectivity Failures by Auto-Reconfiguration in WSN (DCFA). This scheme provides steadfast routes to reduce the connectivity failure and improve the network performance. 
Volume: 8
Issue: 3
Page: 662-666
Publish at: 2017-12-01

Optimization of tilt angle for solar panel: Case study Tunisia

10.11591/ijeecs.v8.i3.pp762-769
Hatem Tlijani , Abir Aissaoui , Rached Ben Younes
This paper is a comparisation study between an experimental data and Matlab simulation of output PV characteristic affected by the orientation and the tilt angle of a photovoltaic solar module with inclined plane and by the dimension of the panel. The PV panel was rotated towards the east, south and west and positioned for the angles 0°, 30°, 45°, 60° and 90°. In this position, the values of current, voltage and power are measured. In the other side, using the mathematical model to calculate the solar radiation incident on an inclined surface as a function of the tilt angle was developed in MATLAB/SIMULINK model. The optimum angles were determined as positions in which maximum values of solar irradiation and maximum power were registered to characterize the P-V and V-I photovoltaic panel.
Volume: 8
Issue: 3
Page: 762-769
Publish at: 2017-12-01

The Toolkit of Success Rate Calculation of Broiler Harvest

10.12928/telkomnika.v15i4.6744
Ahmad; Universitas Indo Global Mandiri, Indonesia Sanmorino , Rendra; Universitas Indo Global Mandiri, Indonesia Gustriansyah , Terttiaavini; Universitas Indo Global Mandiri, Indonesia Terttiaavini , Isabella; Universitas Indo Global Mandiri, Indonesia Isabella
Failed in the harvest should be avoided by the owners of broiler farms. Various ways are done to make the harvest successful and make a profit. Preparations made before the period of broiler development can be done optimally, with the hope that the harvest is successful. But the problem, on the field in fact not as smooth as had been planned at the beginning or before the development period. There is always a lack or inappropriate so that the harvest is not optimal or even harvest failure. Based on the background that has been described, we tried to create a toolkit that can be used to calculate success rate of the broiler harvest. With this toolkit, broiler farm owners are expected to have a guide and can make the right move in the period of broiler development. To calculate the success rate of broiler harvest, we used a model based on the performance index calculation. Toolkit that created running on local network environment using an Apache web server. The Toolkit uses JavaScript library to display the calculation results in the form of charts that are easier to understand. Based on the results of testing that has been done, this toolkit can perform calculations in a relatively short time. Can present the results of calculations with accurate information. The accuracy of success rate calculation toolkit reached 90%. It is obtained by comparing the performance index and the total weight of broiler that obtained when harvested.
Volume: 15
Issue: 4
Page: 1947-1954
Publish at: 2017-12-01

Development of air quality monitoring system in closed environment

10.12928/telkomnika.v15i4.5995
Bochen; Harbin University of Science and Technology, China Li , Xibo; Harbin University of Science and Technology, China Ding , Qingyao; Harbin University of Science and Technology, China Cai
For closed environment, the characteristic is that the confined space is small and it doesn't flow with the outside world, it will produce nausea, dizziness, weakness and other symptoms if one stayed in that environment for long time. For this, developing a monitoring system of air quality in closed environment has theoretical significance and great value. In this paper, a modular design method is used to design a closed air quality monitoring system, The air quality monitoring system is composed of a main board and detection modules. When the measured closed environment is changed, it is only necessary to add or reduce the corresponding detection module, which increases the flexibility of the system and the convenience of later maintenance, and evaluation algorithm based on fuzzy mathematics is established. The measurement and air quality evaluation experiments are carried out using the developed monitoring system, The results show that the air quality evaluation algorithm can effectively evaluate the environmental air quality, and the measurement accuracy of the environmental parameters can meet the relevant standards.
Volume: 15
Issue: 4
Page: 1997-2006
Publish at: 2017-12-01

Corona Detection Using Wide Band Antenna and Time Delay Method

10.12928/telkomnika.v15i4.7233
A.; Kawasan Institusi Penyelidikan, Malaysia A. Raj , S.; Kawasan Institusi Penyelidikan, Malaysia Ishak , M.; Kawasan Institusi Penyelidikan, Malaysia D. M. Amir , B.; Kawasan Institusi Penyelidikan, Malaysia Yogendra , M.; PJX-HM Shah Tower, Malaysia Raffi
IEEE Std 100-2000 defines corona as a luminous discharge due to ionization of the air surrounding a conductor caused by a voltage gradient exceeding a certain critical value. It occurs when the insulating material begins to ionize or conduct due to voltage stress. Corona brings a lot of damages such as corrosion, loss inoverhead transmission lines and electromagnetic interference. Monitoring of corona may reduce the maintenance and replacement cost of electrical equipment. The motivation of this experiment is to calibrate corona detector antennas in the future. The error obtained will determine the efficiency of the antenna to detect and locate potential coronas in electrical equipment in a substation with switchgears or transformers. The operation bandwidth of the antenna is 320MHz to 1.20GHz making it useful to detect and corona. The measurement method of utilizing delay between signals first peak is effective with average 4.76% error with maximum 10.0% error recorded. This may be used to develop a corona online measuring system in the future.
Volume: 15
Issue: 4
Page: 1547-1553
Publish at: 2017-12-01

The Chaos and Stability of Firefly Algorithm Adjacent Individual

10.12928/telkomnika.v15i4.5015
Wen Xin; Hunan University, China Yu , Jun Nian; Hunan University, China Wang , Yan; Hunan University, China Li , Zheng Heng; Hunan University, China Wang
In this paper, in order to overcome the defect of the firefly algorithm, for example, the slow convergence rate, low accuracy and easily falling into the local optima in the global optimization search, we propose a dynamic population firefly algorithm based on chaos. The stability between the fireflies is proved, and the similar chaotic phenomenon in firefly algorithm can be simulated.
Volume: 15
Issue: 4
Page: 1733-1740
Publish at: 2017-12-01

Shunt Active Power Filter based on P-Q Theory with Multilevel Inverters for Harmonic Current Compensation

10.12928/telkomnika.v15i4.6363
Suhendar; University of Sultan Ageng Tirtayasa, Indonesia Suhendar , Teguh; University of Sultan Ageng Tirtayasa, Indonesia Firmansyah , Alief; University of Sultan Ageng Tirtayasa, Indonesia Maulana , Zuldiag; University of Sultan Ageng Tirtayasa, Indonesia Zuldiag , Vektor; Bogor Agricultural University, Indonesia Dewanto
A shunt active power filter based on P-Q theory combined with high pass filters (HPFs) for harmonic-current compensation was proposed in this paper. A dual level H-bridge inverter (DLHI) and clamp diode multilevel inverter (CDMI) as inverters was used. The proposed active power filter was applied to 3-phase power system with 220V voltage and 50Hz frequency. the simulation model was constructed by using Simulink MATLAB. The results show that the proposed active power filter with CDMI produces lower total harmonic distortion (THD) than the active power filters with DLHI. Additionally, the proposed shunt active power filter has lower THD compared with other types of active power filters.
Volume: 15
Issue: 4
Page: 1632-1640
Publish at: 2017-12-01

Influences of Buffer Size and Eb/No on Very Small Aperture Terminal (VSAT) Communictions

10.12928/telkomnika.v15i4.5788
Debby Maureen; Bogor Agricultural University, Indonesia Talumewo , Heru; Bogor Agricultural University, Indonesia Sukoco , Fahren; Bogor Agricultural University, Indonesia Bukhari
In data communication of the signal transmitted from the transmitter (Tx) to receiver (Rx) stations is very influential. Buffer and Eb/No are two parameters that influence the quality of signal. This research measures those parameters and the relationship among them. This research employs data collected on the Link STM-1 side in Makassar and Timika operated by PT. Telkom Metra Bogor. The period of data is carried out for 56 days taken by using Simple Management Network Protocol (SNMP). To analyze the relationship among those two parameters, we use product moment correlation (PMC) method. The result correlation of the data buffer and Eb/No with a level of real is 0.05 and then buffer set in modem CDM 700 is 50% with threshold Eb/No 12.1 dB and the modulations used 64-QAM. That resulted correlation of side in Makassar is 0.648 and the p-value is 0.000. Correlation of side in Timika is 0.722 and the p-value is 0.000. These results suggest that the two parameters are correlated strong and significant. 
Volume: 15
Issue: 4
Page: 1990-1996
Publish at: 2017-12-01
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