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29,922 Article Results

The Development of Javanese Language Teaching Materials Through Introduction of Java Scripts Using Artificial Neural Network

10.12928/telkomnika.v16i4.8465
Siswo; Universitas Sultan Ageng Tirtayasa wardoyo , Kuntari; Universitas Sultan Ageng Tirtayasa W. , Anggoro S.; Universitas Sultan Ageng Tirtayasa Pramudyo , Suhendar; Universitas Sultan Ageng Tirtayasa Suhendar , Syarif; SMA Muhammadiyah 3 Yogyakarta Hidayat
The Java script is a traditional Indonesian scripts known as Hanacaraka or Carakan. Java script becomes less desirable students who have not been introduced by Master to students using interesting digital media. Javanese language teachers in teaching activities do not yet have interactive learning media in making Java script. This research aims to develop digital media recognition Java script using artificial neural network back propagation method as a teaching material of Java language. The sample of research used is basic java script which consist of 20 characters. The method of extraction properties used is Fast Fourier Transform, which is sampled horizontally and vertically. The result of this research showed FFT and ANN can be made of interactive learning media. The effectiveness of system with sensitivity value of 0,046 - 0,085, specification value 0,023 - 0,052, and system reliability is 59,5%. Validation value system that has been built for pattern recognition Java script on the training process is 100%, the testing process with the data -3o rotation, -1o, +1o, +3o reaches 100%, for a rotation -5o testing data, and +5° is 80%, testing of handwritten data is 65%, the test data +10o rotation is 25%, the test with the data translation is 5%, and for testing with the data and the data of rotation +90° zoom in (view) is 0%.
Volume: 16
Issue: 4
Page: 1697-1703
Publish at: 2018-08-01

Implementation of Artificial Neural Network Controller for Double-Input Boost Converter

10.11591/ijeecs.v11.i2.pp784-790
Yonis. M. Buswig , Al-Khalid bin Hj Othman , Norhuzaimin bin Julai , Sim Sy Yi , W. M. Utomo , A.J.M.S. Lim
This paper describes the design of an artificial neural network (ANN) control with power sharing control abilities of a new proposed double-input boost power converter (DIBC). The goal of this research is to model and design a high effectiveness and great performance double-input power converter for renewable energy applications. First, an artificial neural network controller design which is flexible versus a variable input voltage resource and variable load (to achieve the line regulation test and load regulation test) is proposed. Lastly, the suggested concept has been validated through experimentally on the laboratory prototype by using DSP TMS320F28335 real-time digital control. The experimental outcomes emphasize the authenticity of the suggested topology, which can be promising a novel topology that includes double-input power converter appropriate for renewable energy application systems.
Volume: 11
Issue: 2
Page: 784-790
Publish at: 2018-08-01

Meander bowtie Antenna for Wearable Application

10.12928/telkomnika.v16i4.9061
N.; Universiti Teknologi Malaysia Othman , N. A.; Universiti Teknologi Malaysia Samsuri , M. K. A.; Universiti Teknologi Malaysia Rahim , K.; Universiti Teknologi Malaysia Kamardin , H. A.; Universiti Tun Hussein Onn Malaysia Majid
This paper proposes a flexible compact bowtie antenna for medical application that operates at 2.45 GHz. The proposed antennas are miniaturized using meander technique. Both substrates and conducting material of the antenna are made of flexible material semi-transparent film as the substrate and shieldit fabric as the conducting material which suitable for wearable and on body application. The results show that the total length of the antenna is significantly reduced by up to 38%. However, the gain of the antenna is slightly decreased when the size of the antenna become smaller. The results of this research could provide guidance and has significant implication for future development of wearable electronics especially in medical monitoring application.
Volume: 16
Issue: 4
Page: 1522-1526
Publish at: 2018-08-01

Characteristics MIMO 2x4 Antenna for 5G Communication System

10.12928/telkomnika.v16i4.8377
Yusnita; Universitas Riau Rahayu , Jodi; Universitas Riau Wijaya , Elsa; Universitas Riau Syafitri
This paper presents the characteristic MIMO 2x4 antenna for 5G communication system. The proposed antenna works at 28 GHz and simulated by using CST simulation software. The antenna uses RT Duroid 5880 substrate with dielectric constant of 2.2. The MIMO antenna consists of eight elements with rectangular patches and inset feeding. The dimension of patch (Wp x Lp) is 6 mm x 8 mm. There are three (3) antenna configurations derived in this paper such as; single element, 1x4 elements and 2x4 elements. The MIMO 1x4 elements antenna configuration is designed based on the single element antenna with the distance between center to center elements antennas of 5 mm. The MIMO 2x4 antenna is formed from the MIMO 1x4 element configuration with the opposite direction. The 2x4 element antenna, a distance between opposite antenna elements is 10 mm. From the simulation results, it is shown that by increasing the number elements of antenna affect to the directivity and the return loss. Antenna with 2x4 elements has 14 dBi of directivity with the return loss of -19 dB. While antenna with 1x4 elements, the directivity obtained is 14.3 dBi with return loss of -18 dB.
Volume: 16
Issue: 4
Page: 1508-1514
Publish at: 2018-08-01

Non-Contact Capacitive Technique for Biomass Flow Sensing

10.11591/ijeecs.v11.i2.pp531-541
Rumana Tasnim , Sheroz Khan , Atika Arshad , Molla Rashied Hussein
To facilitate real-time flow measurement, this paper aims to realize biomass flow sensing through electronic non-contact capacitive means. Hardware implementation has been carried out using a modified OP-AMP-based bridge circuit, with one arm made of a standard capacitance while the other arm is made from two specifically designed capacitive electrodes fitted on a piping system sensing biomass flow. The experimental results are targeted to obtain data for given biomass types through a custom-developed biomass flow piping system. Several flow affecting parameters namely: electrodes’ shapes, the location of electrodes on the piping system, biomass material type, and particle size have been considered in obtaining experimental data. Also, the circuit has been simulated to analyze flow sensing behavior for the proposed technique by evaluating the measurement data and assessing conformity between experimentally obtained and simulated data.
Volume: 11
Issue: 2
Page: 531-541
Publish at: 2018-08-01

Cost implication of Line Voltage variation on Three Phase Induction Motor operation

10.12928/telkomnika.v16i4.9628
Aderibigbe Israel; Covenant University Adekitan , Bukola; Covenant Universit Adetokun , Tobi; Covenant University Shomefun , Alex; Covenant University Aligbe
Globally, there is a drive toward ensuring energy efficiency in all aspect of production operations and power supply systems. Industries are the backbone of our modern word, and a significant percentage of industrial operations are motor driven. Three Phase Induction Motor is massively deployed in industries due to its ruggedness, reasonable cost and ease of maintenance. The energy efficiency of the induction motor is affected by the internal configurations of the motor and the nature of the supply. Power supply fluctuations result in power quality issues and its attendant negative effects on equipment operation. This research, studies the cost and performance implication of the effects of balanced over voltage, balanced voltage, balanced under voltage and unbalance voltage on the operation of the three phase induction motor using the peculiarities of Nigeria. The result shows that, there is an increase in operational cost due to increased energy loss in the windings as a result of voltage variations from the balanced state, with balanced over voltage operation showing more cost severity among the voltage variations considered.
Volume: 16
Issue: 4
Page: 1404-1412
Publish at: 2018-08-01

Optimizing Laying Hen Diet using Multi-Swarm Particle Swarm Optimization

10.12928/telkomnika.v16i4.7765
Gusti Ahmad Fanshuri; Universitas Brawijaya Alfarisy , Wayan Firdaus; Universitas Brawijaya Mahmudy , Muhammad Halim; Universitas Brawijaya Natsir
Formulating animal diet by accounting fluctuating cost, nutrient requirement, balanced amino acids, and maximum composition simultaneously is a difficult and complex task. Manual formulation and Linear Programming encounter difficulty to solve this problem. Furthermore, the complexity of laying hen diet problem is change through ingredient choices. Thus, an advanced technique to enhance formula quality is a vital necessity. This paper proposes the Multi-Swarm Particle Swarm Optimization (MSPSO) to enhance the diversity of particles and prevent premature convergence in PSO. MSPSO work cooperatively and competitively to optimize laying hen diet and produce improved and stable formula than Genetic Algorithm, Hybridization of Adaptive Genetic Algorithm and Simulated Annealing, and Standard Particle Swarm Optimization with less time complexity. In addition, swarm size, iteration, and inertia weight parameters are investigated and show that swarm size of 50 for each sub-swarm, total iteration of 16,000, and inertia weight of 6.0 should be used as a good parameter for MSPSO to optimize laying hen diet.
Volume: 16
Issue: 4
Page: 1712-1723
Publish at: 2018-08-01

Pole tilt monitoring system using MEMs accelerometer and BeagleBone Black

10.11591/ijeecs.v11.i2.pp658-664
Lok De Yong , Nurul Asyikin Mohamed Radzi , Yanti Erana Jalil
Electric pole could tilt in the event of heavy storms, soil erosion and object crashing onto poles, causing serious damages if they are not fixed before condition worsen. Therefore, to monitor the health of the electric pole, a system to monitor its tilting angle is needed. In this paper, for the first time, to the best of our knowledge, an integration of Micro Electro-Mechanical Systems (MEMs) accelerometer with BeagleBone Black microcomputer will be used to develop an electric pole tile angle monitoring system. The accuracy of measuring tilt angle using single axis accelerometer versus triple axis accelerometer and the effect of rolling on tilt angle reading using single axis accelerometer versus triple axis accelerometer will be presented. Three-axis accelerometer achieves greater accuracy as the percentage error of tilting and rolling for the three-axis accelerometer are better than the single-axis accelerometer.
Volume: 11
Issue: 2
Page: 658-664
Publish at: 2018-08-01

Bull Sperm Motility Measurement Improvement Using Sperm Head Direction Angle

10.12928/telkomnika.v16i4.8685
Akbar; Garuda Infinity Kreasindo Akbar , Eros; Artificial Insemination Center Lembang Sukmawati , Dwi; Artificial Insemination Center Lembang Utami , Muhammad; Polytechnic of Bandung Nuriyadi , Iwan; Bandung State Polytechnic Awaludin , Priyanto; Bandung State Polytechnic Hidayatullah
It is well known that sperm motility is the most important parameter in measuring sperm quality. Sperm motility can be measured manually by a medical veterinarian or using Computer Aided Sperm Analysis (CASA) system. Measuring bull sperm motility manually is the most popular method nevertheless it has major drawbacks which are subjective and high variability. CASA gives consistent results, hence it is an expensive system. Therefore, an alternative method is required. In this paper, a method to measure bull sperm motility was proposed, It was using ellipse detection and sperm head direction angle. The video samples were taken using a digital microscope. Compared with the manual assessment by medical veterinarians, the proposed method gave the average absolute margin of 5.16% which surpassed the previous method which gave 10.69%.
Volume: 16
Issue: 4
Page: 1642-1649
Publish at: 2018-08-01

Information Retrieval from Emotions and Eye Blinks with help of Sensor Nodes

10.11591/ijece.v8i4.pp2433-2441
Puneet Singh Lamba , Deepali Virmani
In everyday life, there are situations where the only way to communicate are emotions. EMOTICONS are the epitome of the same. This aspect of communication can also be used in emergency situations (terrorist attacks, hijacks) where the only way to communicate is by performing some extraordinary actions or through some emotions. Incorporating technology to the above mentioned circumstances the paper proposes a novel framework of detecting an emergency situation by retrieving information from emotions and eye blinks using sensor nodes. The proposed framework can be deployed in places (hotels, banks, airports etc.) which are more suspected to attacks. The framework takes input from real time parameters: eye blinks, emotions, heart rate. Based on behavioral changes, biological changes and physical changes the proposed framework extracts meticulous information. The proposed framework is further validated through implementation of a facial emotion recognition system that successfully recognizes various human emotions. The facial emotion recognition system of the proposed framework is compared with existing SVM technique in terms of accuracy, training and testing error. Accuracy with the proposed system is increased to 78.40% in comparison with existing SVM that is 75.37% and the training error is decreased to 0.004103 whereas with the existing SVM method training error is 0.008935.
Volume: 8
Issue: 4
Page: 2433-2441
Publish at: 2018-08-01

Implementation of Fuzzy-PD for Folding Machine Prototype Using LEGO EV3

10.12928/telkomnika.v16i4.7569
Wahyu S.; Institut Teknologi Adhi Tama Surabaya Pambudi , Titiek; Institut Teknologi Adhi Tama Surabaya Suheta
Folding machine prototype is a tool for folding clothes that used a LEGO Mindstorm EV3 and the movement of this LEGO will be controlled by using the proposed method.This research is using 2 kind of systems, first is (Proportional Integration Derrivative) and second is Fuzzy-PD. This system can improve the production efficiency especially in micro convection-based industry (UKM). This folding machine prototype has 3 folds connected to the EV3 Large Motors as actuators. PID and Fuzzy-PD control systems are used to control the position of the motor angle by reading the rotary encoder. Based on the test results with load condition at Kp=7,00; Ki=2.00; Kd=15.5,the PID control system has a rise time of 0.479s with settling time of 0.551s and overshoot value of 9,1%. While the result of Fuzzy-PD control shows the rise time is equal to 0.617s with settling time of 0.7s and overshoot value of 7.5%.
Volume: 16
Issue: 4
Page: 1625-1632
Publish at: 2018-08-01

Actuator Fault Decoupled Residual Generation on Lateral Moving Aircraft

10.12928/telkomnika.v16i4.9055
Samiadji; Universitas Gadjah Mada Herdjunanto , Adha; Universitas Gadjah Mada Cahyadi , Bobby Rian; Universitas Gadjah Mada Dewangga
Implementation of time-scheduled maintenance is not suitable if it is applied for systems with many varieties of heavy workload and harsh environment since on that condition components degrade earlier that those under normal condition. Therefore it has been shifted to condition-based maintenance (CBM). One important aspect, among others, toward implementation of CBM method is fault isolation. The problem investigated in this paper is related todecouple residual generation for actuator fault isolation of an aircraft on lateral movement. The proposed solution for that problem is to implement combination of transformation matrix and special filter. Transformation matrix is used to convert feature locations of actuator faults to signature vectors. Moreover, the signature vectors will be processed further by special filter to generate decoupled residuals. It is assumed that the actuator is the only fault when the aircraft is on lateral movement. The result showed that special filter and transformation matrix can be designed so that the residual of aileron actuator fault is decoupled from the residual of rudder actuator fault.
Volume: 16
Issue: 4
Page: 1886-1893
Publish at: 2018-08-01

Modeling and Simulation of Nine-Level Cascaded H-Bridge Multilevel Inverter

10.11591/ijeecs.v11.i2.pp696-703
A.A. Zulkefle , A.I.A. Rahman , M. Zainon , Z.A. Baharudin , Z. Zakaria , M.B. Farriz , S.A.A. Shukor , N.F. Johan , N. Saleh , M.A.M. Hanafiah
This paper analyzed a single phase nine level cascaded h-bridge multilevel inverter (CHMLI) topology in which requires lesser number of components and easier to control if compared to other methods. The inverter of different voltage levels (up to 9-Levels) are designed and simulated using MATLAB Simulink. A Level Shifted Multi-Carrier PWM control scheme is used to control the operation of the power switches for CHMLI topology. The results are compared in terms of THD.  The value of THD is found to be reduced as the number of voltage level of CHMLI is increased.
Volume: 11
Issue: 2
Page: 696-703
Publish at: 2018-08-01

Multi-Agent based MapReduce Model for Efficient Utilization of System Resources

10.11591/ijeecs.v11.i2.pp504-514
Heena Kousar , B.R. Prasad Babu
Recently with increased adoption of big data, Internet of Things and sensor technology by various organization for provisioning smart intelligent services for various application uses. Data processing on real-time social media and sensor data is been a key area of research in recent times and these data are massive and continuous. Smart application using sensor and social media data can be classified into three class: 1) online processing of streaming data; 2) online processing of historical data; and 3) hybrid processing of both. The existing model are designed considering stream or batch processing. For provisioning real-time processing MapReduce framework using Hadoop framework is considered by state-of-art technique for data inflow forecasting. However, the Hadoop based forecasting model are not efficient in fully utilizing system resource. Agent based MapReduce forecasting model is adopted by state-of-art technique to utilize system efficiently. However, they incurs high computation overhead, thus increase cost of computing cost. To overcome this work present an agent based Data Inflow Forecasting (DIF) model for both stream and non-stream (historical) data by using Multivariate Gaussian Mixture (MGM) model. This work present an Agent based MapReduce (AMR) framework to process data in real-time and utilize system resource efficiently. To provide scalability for processing social media and sensor data DIF-AMR model adopts cloud computing architecture. Experiment are conducted to evaluate performance of DIF-AMR of over existing model shows significant performance improvement in terms of computation time.
Volume: 11
Issue: 2
Page: 504-514
Publish at: 2018-08-01

Modelling Optical Waveguide Bends by the Method of Lines

10.12928/telkomnika.v16i4.5191
Ary; University al Azhar Indonesia Syahriar , Nabil Rayhan; Bandung Institute of Technology Syahriar , Jusman Syafiie; University al Azhar Indonesia Djamal
A rigorous analytical and semi analytical method of lines has been used to calculate the transverse-electric field attenuation coefficient of guided mode as it travels in waveguide bends structure. Both approaches then were compared to get a better understanding on how the attenuation behaves along single curve waveguides with constant radius of curvature. The Helmholtz Equation in polar coordinate was transformed into a curvalinier coordinate to simulate the waveguide bends using the method of line analysis. The simple absorption boundary conditions are used into the method of lines to demonstrate evanescent field of the guided mode nature as its travels in waveguide bends structures. The results show that a reasonable agreement between both theoretical approaches.
Volume: 16
Issue: 4
Page: 1490-1499
Publish at: 2018-08-01
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