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28,910 Article Results

Predicting the Presence of Learning Motivation in Electronic Learning: A New Rules to Predict

10.12928/telkomnika.v15i3.4286
Christina; STEI-Institut Teknologi Bandung Juliane , Arry A.; STEI-Institut Teknologi Bandung Arman , Husni S.; STEI-Institut Teknologi Bandung Sastramihardja , Iping; STEI-Institut Teknologi Bandung Supriana
Research affirms that electronic learning (e-learning) has a great deal of advantages to learning process, it’s provides learners with flexibility in terms of time, place, and pace. That easiness was not be a guarantee of a good learning outcomes though they got the same learning material and course, because the fact is the outcomes was not the same from one to another and even not satisfy enough. One of prerequisite to the successful of e-learning process is the presence of learning motivation and it was not easy to identify. We propose a novel model to predicting the presence of learning motivation in e-learning using those attributes that have been identified in previous research. This model has been built using WEKA toolkit by comparing fourteen algorithms for Tree Classifier and ten-fold cross validation testing methods to process 3.200 of data sets. The best accuracy reached at 91.1% and identified four parameters to predict the presence of learning motivation in e-learning, and aim to assist teachers in identify whether student needs motivation or does not. This study also confirmed that Tree Classifier still has the best accuracy to predict and classify academic performance, it was reached average 90.48% for fourteen algorithm for accuracy value.
Volume: 15
Issue: 3
Page: 1223-1229
Publish at: 2017-09-01

Thermal Condition and Losses in Ultra-High-Speed Generators

10.12928/telkomnika.v15i3.6365
Flur; Ufa State Aviation Technical University Ismagilov , Viacheslav; Ufa State Aviation Technical University Vavilov , Ruslan; Ufa State Aviation Technical University Karimov , Denis; Ufa State Aviation Technical University Gusakov
In this paper ultra-high-speed generators operated in intermittent periodic and short-term mode were considered. Experimental studies of losses depending on frequencies in the magnetic core of microelectromechanical energy converters made from amorphous steel were made. Dependence of the flux density from the temperature in the air gap of the experimental layout of high-coercivity permanent magnets was obtained. Computer modeling of the magnetic field distribution on the cross section of the stator magnetic core of microelectromechanical energy converters were made in the software package Ansoft Maxwell. Dependence of friction losses of the rotor around the air from the air temperature was obtained. Comparisons of losses and efficiency of microelectromechanical energy converters in a cold state and after 10 minutes of operation without cooling were made.
Volume: 15
Issue: 3
Page: 995-1002
Publish at: 2017-09-01

Enhanced Payload Data Reduction Approach for Cluster Head (CH) Nodes

10.12928/telkomnika.v15i3.7217
N.; Universiti Tun Hussein Onn Malaysia (UTHM) A. M. Alduais , J.; Universiti Tun Hussein Onn Malaysia (UTHM) Abdullah , A.; Universiti Tun Hussein Onn Malaysia (UTHM) Jamil
In this paper, we suggested two approaches to minimizing the CH packet size by considering the accuracy of prediction of sensed data at the base station. The proposed coding schemes based relative difference (CS-RD) and based the factor of precision (CS-FP) instead of the absolute change method that has been used in recent work. The aim is to enhance the accuracy of prediction data at the base station. Therefore, the performance metric was evaluated in term of the accuracy of prediction data at the base station. Simulation results showed that the proposed approaches performed better in term of the accuracy of prediction data at the base station. Specifically, the distortion percentage and average Absolut error in the CS-RD and CS-FP method decreased by 50% and 88% better than the current new aggregation method (ADATDC). However, our proposed CS-FP showed a low reduction ratio for some states.
Volume: 15
Issue: 3
Page: 1477-1484
Publish at: 2017-09-01

Managers Perceptions towards the Success of E-performance Reporting System

10.12928/telkomnika.v15i3.5133
A'ang; Syarif Hidayatullah State Islamic University Jakarta Subiyakto , Ditha; Syarif Hidayatullah State Islamic University Jakarta Septiandani , Evy; Syarif Hidayatullah State Islamic University Jakarta Nurmiati , Yusuf; Syarif Hidayatullah State Islamic University Jakarta Durachman , Mira; International Islamic University Malaysia Kartiwi , Abd. Rahman; International Islamic University Malaysia Ahlan
Managers are the key informants in the information system (IS) success measurements. In fact, besides the determinant agents are rarely involved in the assessments, most of the measurements are also often performed by the technical stakeholders of the systems. Therefore, the results may questionable. This study was carried to explain the factors that influence the success of an e-performance reporting system in an Indonesian university by involving ± 70% of the managers (n=66) in the sampled institution. The DeLone and McLean model was adopted and adapted here following the suggestions of the previous meta-analysis studies. The collected data was analyzed using the partial least squares-structural equation modelling (PLS-SEM) for examining the four hypotheses. Despite the findings revealed acceptances of the overall hypotheses, the weak explanation of the user satisfaction variable towards the net benefit one had been the highlighted point. Besides the study limitations, the point may also be the practical and theoretical considerations for the next studies, especially for the IS success studies in Indonesia
Volume: 15
Issue: 3
Page: 1389-1396
Publish at: 2017-09-01

Foreign Tourist Arrivals Forecasting Using Recurrent Neural Network Backpropagation through Time

10.12928/telkomnika.v15i3.5993
Wayan Oger; Udayana University Vihikan , I Ketut Gede; Udayana University Darma Putra , I Putu Arya; Udayana University Dharmaadi
Bali as an icon of tourism in Indonesia has been visited by many foreign tourists. Thus, Bali is one of the provinces that contribute huge foreign exchange for Indonesia. However, this potential could be threatened by the effectuation of the ASEAN Economic Community as it causes stricter competition among ASEAN countries including in tourism field. To resolve this issue, Balinese government need to forecast the arrival of foreign tourist to Bali in order to help them strategizing tourism plan. However, they do not have an appropriate method to do this. To overcome this problem, this study contributed a forecasting method using Recurrent Neural Network Backpropagation Through Time. We also compare this method with Single Moving Average method. The results showed that proposed method outperformed Single Moving Average in 10 countries tested with 80%, 70%, and 70% better MSE results for 1, 3 and 6 months ahead forecast respectively.
Volume: 15
Issue: 3
Page: 1257-1264
Publish at: 2017-09-01

An Fundamental Current Reference Control Strategy for DSTATCOM under Various Load Situations

10.11591/ijeecs.v7.i3.pp606-616
Sri Prakash CH
Effort for power quality enhancement is gradually raised in power transmission and distribution system. In a distribution system, it is a pre-requisite consumer related concern which is addressed by evading the mis-operation of massive power electronic load apparatus. Due to this, voltage/current harmonic distortions are acquired at common coupling point, which influences the disruption of quality power in a distribution system. A reliable and efficient active power conditioner is utilized for acquiring the power quality features in a three phase distribution system with attractive control objective. Over the classical conditioning techniques, a D-STATCOM plays a key role in a distribution system for power quality enhancement. Formal control objectives are adversed with incredible switching losses due to extreme harmonized frequencies in a reference current component. This paper proposes the imperative reference current extraction scheme for optimal functioning of DSTATCOM with reduced switching losses and gaining the incredible efficiency. The validation of DSTATCOM with proposed control strategy under several load situations (linear/non-linear & balanced/un-balanced) is evaluated by using Matlab/Simulink platform and simulation results are conferred.
Volume: 7
Issue: 3
Page: 606-616
Publish at: 2017-09-01

Research and Application of Development Model of Information Service for IOT of Oil and Gas Production Based on Cloud Architecture

10.12928/telkomnika.v15i3.5510
Wu; Research Institute of Petroleum Exploration & Development-Northwest Haili , Gong; Research Institute of Petroleum Exploration & Development-Northwest Renbin , Wang; Research Institute of Petroleum Exploration & Development-Northwest Congbin , Gong; Research Institute of Petroleum Exploration & Development-Northwest Lei
On completion of oil and gas production IOT system application system needs expanding and secondary problems such as software development integration service, this paper proposes a scalable cloud platform(called A11-PaaS) based on middleware and ESB(Enterprise service bus). The platform realizes that managmant of ESB, controls the service request access on the ESB with the LDAP, use the WAS profile as a sandbox for the development, combine with the Maven plug-in and Nexus, realize the unified management of the secondary development, testing, and deployment of the new system and achieve the purpose of rapid development. The platform has been deployed in some oil company, the experimental results show that this technology has achieved rapid development, integrated the web service from IOT system, and provide effective method to integrate other application system.
Volume: 15
Issue: 3
Page: 1416–1424
Publish at: 2017-09-01

Improving DNA Barcode-based Fish Identification System on Imbalanced Data using SMOTE

10.12928/telkomnika.v15i3.5011
Wisnu Ananta; Department of Computer Science, Bogor Agricultural University Kusuma , Nurdevi; Department of Computer Science, Bogor Agricultural University Noviana , Lailan Sahrina; Department of Computer Science, Bogor Agricultural University Hasibuan , Mala; Department of Aquatic Product Technology, Bogor Agricultural University Nurilmala
Problem in imbalanced data is very common in classification or identification. The problem is raised when the number of instances of one class far exceeds the other. In the previous research, our DNA barcode-based Identification System of Tuna and Mackerel was developed in imbalanced dataset. The number of samples of Tuna and Mackerel were much more than those of other fish samples. Therefore, the accuracy of the classification model was probably still in bias. This research aimed at employing Synthetic Minority Oversampling Technique (SMOTE) to yield balanced dataset. We used k-mers frequencies from DNA barcode sequences as features and Support Vector Machine (SVM) as classification method. In this research we used trinucleotide (3-mers) and tetranucleotide (4-mers). The training dataset was taken from Barcode of Life Database (BOLD). For evaluating the model, we compared the accuracy of model using SMOTE and without SMOTE in order to classify DNA barcode sequences which is taken from Department of Aquatic Product Technology, Bogor Agricultural University. The results showed that the accuracy of the model in the species level using SMOTE was 7% and 13% higher than those of non-SMOTE for trinucleotide (3-mers) and tetranucleotide (4-mers), respectively. It is expected that the use of SMOTE, as one of data balancing technique, could increase the accuracy of DNA barcode based fish classification system, particularly in the species level which is difficult to be identified.
Volume: 15
Issue: 3
Page: 1230-1238
Publish at: 2017-09-01

A Review on Methods of Identifying and Counting Aedes Aegypti Larvae using Image Segmentation Technique

10.12928/telkomnika.v15i3.6422
Mohamad Aqil; Universiti Teknikal Malaysia Melaka Mohd Fuad , Mohd Ruddin; Universiti Teknikal Malaysia Melaka Ab Ghani , Rozaimi; Universiti Teknikal Malaysia Melaka Ghazali , Mohamad Fani; Universiti Teknikal Malaysia Melaka Sulaima , Mohd Hafiz; Universiti Teknikal Malaysia Melaka Jali , Tole; Universitas Ahmad Dahlan Sutikno , Tarmizi; Universiti Teknikal Malaysia Melaka Ahmad Izzuddin , Zanariah; Universiti Teknikal Malaysia Melaka Jano
Aedes aegypti mosquitoes are a small slender fly insect that spreads the arbovirus from flavivirus vector through its sucking blood. An early detection of this species is very important because once these species turn into adult mosquitoes a population control becomes more complicated. Things become worse when difficult access places like water storage tank becomes one of the breeding favorite places for Aedes aegypti mosquitoes. Therefore, there is a need to help the field operator during the routine inspection for an automated identification and detection of Aedes aegypti larvae, especially at difficult access places. This paper reviews different methodologies that have been used by various researchers in identifying and counting Aedes aegypti. The objective of the review was to analyze the techniques and methods in identifying and counting the Aedes Aegypti larvae of various fields of study from 2008 and above by taking account their performance and accuracy. From the review, thresholding method was the most widely used with high accuracy in image segmentation followed by hidden Markov model, histogram correction and morphology operation region growing.
Volume: 15
Issue: 3
Page: 1199-1206
Publish at: 2017-09-01

Power Loss Minimization in Radial Distribution Networks Using Reconfiguration and DGs

10.11591/ijeecs.v7.i3.pp583-592
Sarfaraz Nawaz , Ajay Kumar Bansal , Mahaveer Prasad Sharma
A novel approach is proposed in this paper to achieve the objective of real power loss minimization and voltage profile enhancement. Network reconfiguration and allocation of various DG units are used to meet the objective. Selective particle swarm Optimization (SPSO) and novel analytical techniques are used to solve the problem of network reconfiguration and allocation of DG units simultaneously.  A new constant, Power Voltage Sensitivity Constant (PVSC), has been proposed to solve the allocation problem. The formulated mathematical expression (PVSC) determines site and size of DG units.  The level of DG penetration is considered in a range of 0–50% of total system load. A novel index is also proposed which incorporates level of DG penetration and % reduction in real power losses. Standard 69 bus system is used to validate the results obtained by proposed hybrid approaches. To show the efficacy and strength of the proposed hybrid approach, it has been compared with various techniques
Volume: 7
Issue: 3
Page: 583-592
Publish at: 2017-09-01

Neural Network-Based Stabilizer for the Improvement of Power System Dynamic Performance

10.12928/telkomnika.v15i3.3875
Rudy; Tanjungpura University Gianto , Kho; Tanjungpura University Hie Khwee
This paper develops an adaptive control coordination scheme for power system stabilizers (PSSs) to improve the oscillation damping and dynamic performance of interconnected multimachine power system. The scheme was based on the use of a neural network which identifies online the optimal controller parameters. The inputs to the neural network include the active- and reactive- power of the synchronous generators which represent the power loading on the system, and elements of the reduced nodal impedance matrix for representing the power system configuration. The outputs of the neural network were the parameters of the PSSs which lead to optimal oscillation damping for the prevailing system configuration and operating condition. For a representative power system, the neural network has been trained and tested for a wide range of credible operating conditions and contingencies. Both eigenvalue calculations and time-domain simulations were used in the testing and verification of the performance of the neural network-based stabilizer.
Volume: 15
Issue: 3
Page: 984-994
Publish at: 2017-09-01

A Crop Pests Image Classification Algorithm Based on Deep Convolutional Neural Network

10.12928/telkomnika.v15i3.5382
RuJing; Chinese Academy of Sciences Wang , Jie; Chinese Academy of Sciences Zhang , Wei; Anhui Academy of Agricultural Sciences Dong , Jian; Chinese Academy of Sciences Yu , ChengJun; Chinese Academy of Sciences Xie , Rui; Chinese Academy of Sciences Li , TianJiao; Chinese Academy of Sciences Chen , HongBo; Chinese Academy of Sciences Chen
Conventional pests image classification methods may not be accurate due to the complex farmland background, sunlight and pest gestures. To raise the accuracy, the deep convolutional neural network (DCNN), a concept from Deep Learning, was used in this study to classify crop pests image. On the ground of our experiments, in which LeNet-5 and AlexNet were used to classify pests image, we have analyzed the effects of both convolution kernel and the number of layers on the network, and redesigned the structure of convolutional neural network for crop pests. Further more, 82 common pest types have been classified, with the accuracy reaching 91%. The comparison to conventional classification methods proves that our method is not only feasible but preeminent.
Volume: 15
Issue: 3
Page: 1239-1246
Publish at: 2017-09-01

Effect of Pump Dithering at Each Stage of Cascaded Fiber Optical Parametric Amplifier

10.12928/telkomnika.v15i3.7212
Fatin; Universiti Tun Hussein Onn Malaysia Nabilah Mohamad Salleh , Nor; Universiti Tun Hussein Onn Malaysia Shahida Mohd Shah , Nurulanati; Universiti Tun Hussein Onn Malaysia Othman , Rahmat; Universiti Tun Hussein Onn Malaysia Talib , Munirah; Universiti Tun Hussein Onn Malaysia Ab. Rahman
Cascaded fiber optical parametric amplifier (FOPA) can enhance gain and bandwidth. The gain and bandwidth can be further enhanced by dithering the FOPA pump. However, to our knowledge, the effects of a pump dithering at every stage of cascaded FOPA have not been discussed. The study of performance at every stage of cascaded FOPA is quite interesting and beneficial in designing the system. Here, we analyzed, using OptiSystem software, each stage of a cascaded FOPA, when there was a pump dithering and not. The results showed that the pump dithering enhanced the gain and broaden the bandwidth at every stage. The gain and bandwidth obtained with the pump dithering were 27 dB and 20 nm, respectively. On the other hand, when there was no pump dithering, the gain and bandwidth were 9 dB and 12 nm, respectively.
Volume: 15
Issue: 3
Page: 1440–1445
Publish at: 2017-09-01

Noise Analysis in VLC Optical Link based Discrette OP-AMP Trans-impedance Amplifier (TIA)

10.12928/telkomnika.v15i3.5737
Syifaul; Microelectronic Center Institut Teknologi Bandung (ITB) Fuada , Trio; Microelectronic Center, Institut Teknologi Bandung (ITB) Adiono , Angga Pratama; Microelectronic Center, Institut Teknologi Bandung (ITB) Putra , Yulian; Microelectronic Center, Institut Teknologi Bandung (ITB) Aska
To design Visible Light Communication (VLC) system, there are several requirements that needs to be met. One of the requirements is an active component selection (e.g. Op Amp). As an ideal communication system, VLC system has to be able to provides wide bandwidth access with minimum noise. The Transimpedance amplifiers (TIAs) is one of main components in optical system which is placed in the first stage of receiver system. It is used to convert the current output from photodiode to voltage. We have designed a 1 MHz fGBW TIA with low noise (in μVrms range). This paper aims to explain the design and implementation of TIA circuit with photovoltaic topology which cover empirical calculations and simulation of TIA’s bandwidth and its noise sources, i.e. resistor feedback noise, current noise, voltage noise and total noise based on RSS. The OP-AMP is chosen from Texas Instruments product, OPA 380, and photodiode is chosen from OSRAM, SFH213, then simulated by TINA-TI SPICE® software. The noise in TIA circuit is analyzed clearly. The developed kit is ready to be implemented in VLC system.
Volume: 15
Issue: 3
Page: 1012-1021
Publish at: 2017-09-01

Genetic Algorithm for Grammar Induction and Rules Verification through a PDA Simulator

10.11591/ijai.v6.i3.pp100-111
Hari Mohan Pandey
The focus of this paper is towards developing a grammatical inference system uses a genetic algorithm (GA), has a powerful global exploration capability that can exploit the optimum offspring. The implemented system runs in two phases: first, generation of grammar rules and verification and then applies the GA’s operation to optimize the rules. A pushdown automata simulator has been developed, which parse the training data over the grammar’s rules. An inverted mutation with random mask and then ‘XOR’ operator has been applied introduces diversity in the population, helps the GA not to get trapped at local optimum. Taguchi method has been incorporated to tune the parameters makes the proposed approach more robust, statistically sound and quickly convergent. The performance of the proposed system has been compared with: classical GA, random offspring GA and crowding algorithms. Overall, a grammatical inference system has been developed that employs a PDA simulator for verification.
Volume: 6
Issue: 3
Page: 100-111
Publish at: 2017-09-01
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