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28,451 Article Results

Investigating the Written Exam Scores’ Prediction Power of TEOG Exam Scores

10.11591/ijere.v6i1.6344
Hakkı Kontaş , Esen Turan Ozpolat
The purpose of this study was to investigate exam scores’ predicting Transition from Primary to Secondary Education (TEOG) exam scores. The research data were obtained from the records of 1035 students studying at the first term of eighth grade in 2015-2016 academic year in e-school system. The research was on relational screening model. Linear regression model was used for the analysis of data. The analysis results proved that there was a high level significant relationship between exam scores and TEOG exam scores.
Volume: 6
Issue: 1
Page: 31-37
Publish at: 2017-03-01

Values of Local Wisdom: A Potential to Develop an Assessment and Remedial

10.11591/ijere.v6i1.6349
Iwan Setia Kurniawan , Uus Toharudin
This study aimed to describe the ability of student teachers of biology at Pasundan University in developing assessment and remedial based on local wisdom (local wisdom). This research uses descriptive quantitative and comparative approach, the data obtained by the data analysis described to obtain information or a description of these results, further students' ability in comparison. Tests of significance using parametric tests with two-tailed t-test. The population in this study as many as 197 students were divided into 38 groups, 38 groups divided into each of 19 groups and 19 groups remedial assessment. The sample in this research is divided each as much as 13 groups. Data collected by the non-test, the data obtained from a document or report student assignments given a score based on the indicators are divided into several aspects of assessment, data analysis was performed by descriptive statistical. The results showed that the ability of student teachers of biology in developing assessment based on local wisdom including both categories with an average score of 62.23. Remedial teacher's ability to develop based on local wisdom included in the category enough with an average score of 64.31. The highest average score for the assessment is on the aspects of integration of local wisdom values of 71.92 and the lowest score on the aspect of validity assessment amounting to 56.92. The highest average score for remedial namely the implementation aspects of 71.54 and the lowest scores on originality aspects of 53.38. The test results show that the significance of the t (t) of -0.488, t table (t table) two tails at 2.179. p-value of 0.635. Assuming that if t <t table (-0.488 <2.179) or with a p-value> 0.05 (0.635> 0.05) can thus be concluded that students in developing assessment and remedial based on local wisdom has the same ability.
Volume: 6
Issue: 1
Page: 71-78
Publish at: 2017-03-01

Deep Neural Network Method for the Prediction of Xylitol Production

10.11591/ijeecs.v5.i3.pp691-696
Siti Noorain Mohmad Yousoff , ‘Amirah Baharin , Afnizanfaizal Abdullah
Bio-based chemical products such as xylitol have achieved remarkable attentions both in pharmaceutical and food industries due to their several advantages such as sugar substitute that can help diabetic patients and help in preventing tooth decay problem. To produce xylitol, recently, microbial host such as E. Coli often used as it is predicted that E. Coli can produce high level of xylitol. Therefore, metabolic engineering need to be done towards E. Coli and powerful tools are needed to manipulate, simulate and analyse the E. Coli metabolic pathway. Artificial intelligence methods such as deep neural network offer an efficient and powerful approach to be used to analyse the xylitol production value and at the same time to predict which genes and pathway that give biggest effect in the process to produce xylitol in E. Coli. Results show that, with an absence of genes pgi, tkt and tala, xylitol production can be boosted up to the higher level.
Volume: 5
Issue: 3
Page: 691-696
Publish at: 2017-03-01

The Usage of Recycle Materials for Science Practicum: Is There Any Effect on Science Process Skills?

10.11591/ijere.v6i1.6340
Setiyo Prajoko , Mohamad Amin , Fatchur Rohman , Muhana Gipayana
This study aimed at determining the effect of recycle materials usage for science practicum on students' basic science process skills of the Open University, Surakarta. Recycle materials are the term used for the obtained materials and equipment from the students’ environment by taking back the garbage or secondhand objects into goods or new products which have a benefit for practicum activities. Randomized posttest only control group design was applied in this study and involving 83 students which divided into experimental class and control class. Collected data were science process skills test and questionnaire. The results of this study obtained Kruskal Wallis test result of 0.000<0.05. So, there was effect of recycle materials usage for science practicum on students’ science process skills. Students also provided positive feedback on the use of recycle materials for science lab activities.
Volume: 6
Issue: 1
Page: 1-8
Publish at: 2017-03-01

Current Steering Digital Analog Converter with Partial Binary Tree Network (PBTN)

10.11591/ijeecs.v5.i3.pp643-649
Mohd Tafir Mustaffa , Yong Cheng Lim , Choon Yan Teh
DACs are essential devices in many digital systems which require high performance data converters. Thus, shrinking of supply voltage, budget constraints of test times, and rising bandwidth requirement causing DAC architectures to highly relying on matched components to perform data conversions. However, matched components are nearly impossible to fabricate; there are always mismatch errors which causes the difference between the designed and actual component value. Dynamic Element Matching (DEM) is one of the techniques that are commonly used to reduce component mismatch error. This technique is a randomization technique to select one of the appropriate codes for each of the digital input value before entering DAC block. Thus, in this research, a new DEM algorithm is proposed on Current-Steering DAC with Partial Binary Tree Network (PBTN) algorithm that utilizes a lower complexity circuit to produce output signals with less glitches. Simulation results for 6-bit 1-MSB PBTN DAC produces 0.3184LSB of DNL, 0.0062LSB of INL, and a power consumption of 14.13 mW, while using only 126 transmission gates.
Volume: 5
Issue: 3
Page: 643-649
Publish at: 2017-03-01

Mammography Image Segmentation: Chan-Vese Active Contour and Localised Active Contour Approach

10.11591/ijeecs.v5.i3.pp577-583
Mahfuzah Mustafa , Hana Najwa Omar Rashid , Nor Rul Hasma Abdullah , Rosdiyana Samad , Dwi Pebrianti
Breast cancer is one of the most common diseases diagnosed among female cancer patients. Early detection of breast cancer is needed to reduce the risk of fatality of this disease as no cure has been found yet for this illness. This research is conducted to improve the Gradient Vector Flow (GVF) Snake Active Contour segmentation technique in mammography segmentation. Segmentation of the mammogram image is done to segment lesions existence using Chan-Vese Active Contour and Localized Active Contour. Besides that, the effectiveness of these both methods are then compared and chosen to be the best method. Digital Database of Screening Mammograms (DDSM) is used for the purpose of screening. First, the images undergo pre-processing process using the Gaussian Low Pass Filter to remove unwanted noise. After that, contrast enhancement applied to the images. Segmentation of mammograms is then conducted by using Chan-Vese Active Contour and Localized Active Contour method. The result shows that Chan-Vese technique outperforms Localized Active Contour with 90% accuracy.
Volume: 5
Issue: 3
Page: 577-583
Publish at: 2017-03-01

A Review of Heuristic Global Optimization Based Artificial Neural Network Training Approahes

10.11591/ijai.v6.i1.pp26-32
D. Geraldine Bessie Amali , Dinakaran M.
Artificial Neural Networks have earned popularity in recent years because of their ability to approximate nonlinear functions. Training a neural network involves minimizing the mean square error between the target and network output. The error surface is nonconvex and highly multimodal. Finding the minimum of a multimodal function is a NP complete problem and cannot be solved completely. Thus application of heuristic global optimization algorithms that computes a good global minimum to neural network training is of interest. This paper reviews the various heuristic global optimization algorithms used for training feedforward neural networks and recurrent neural networks. The training algorithms are compared in terms of the learning rate, convergence speed and accuracy of the output produced by the neural network. The paper concludes by suggesting directions for novel ANN training algorithms based on recent advances in global optimization.
Volume: 6
Issue: 1
Page: 26-32
Publish at: 2017-03-01

Local Binary Fitting Segmentation by Cooperative Quantum Particle Optimization

10.12928/telkomnika.v15i1.3159
Desheng; Anhui Science and Technology University Li , Qian; Guilin University of Electronic Technology He , Liu; Anhui Science and Technology University Chunli , Yu; Anhui Science and Technology University Hongjie
Recently, sophisticated segmentation techniques, such as level set method, which using valid numerical calculation methods to process the evolution of the curve by solving linear or nonlinear elliptic equations to divide the image availably, has become being more popular and effective. In Local Binary Fitting (LBF) algorithm, a simple contour is initialized in an image and then the steepest-descent algorithm is employed to constrain it to minimize the fitting energy functional. Hence, the initial position of the contour is difficult or impossible to be well chosen for the final performance. To overcoming this drawback, this work treats the energy fitting problem as a meta-heuristic optimization algorithm and imports a varietal particle swarm optimization (PSO) method into the inner optimization process. The experimental results of segmentations on medical images show that the proposed method is not only effective to both simple and complex medical images with adequate stochastic effects, but also shows the accuracy and high efficiency.
Volume: 15
Issue: 1
Page: 531-539
Publish at: 2017-03-01

Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method

10.11591/ijeecs.v5.i3.pp569-576
Nor Haizan Jamali , Kismet Anak Hong Ping , Shafrida Sahrani , Dayang Azra Awang Mat , Mohamad Hamiruce Marhaban , Mohd Iqbal Saripan , Toshifumi Moriyama , Takashi Takenaka
The Forward-Backward Time-Stepping (FBTS) had proven its potential to reconstruct images of buried objects in inhomogeneous medium with useful quantitative information about its size, shape, and locality. The Total Variation regularization method was incorporated with the FBTS algorithm to deal with the ill-posedness or ill-conditionedness of the inverse problem. The effectiveness of the proposed technique is confirmed by numerical simulations. The numerical method was carried out on a simple object detection through FBTS with and without TV regularization method. The detection and reconstruction of relative permittivity and conductivity of the simple object have shown an improvement as TV regularization method applied whereas it smoothed the vibrations of the images and gave a better estimation of the image’s boundaries.
Volume: 5
Issue: 3
Page: 569-576
Publish at: 2017-03-01

Desktop Tomography System using Planar ECT Device

10.12928/telkomnika.v15i2.6116
Shahrulnizahani; Universiti Teknologi Malaysia Mohammad Din , Nur; Universiti Teknologi Malaysia Adila Mohd Razali , Jaysuman; Universiti Teknologi Malaysia Pusppanathan , Chee; Universiti Tunku Abdul Rahman Pei Song , Ruzairi; Universiti Tun Hussein Onn Malaysia (UTHM) Abdul Rahim , Leow; Universiti Teknologi Malaysia Pei Linga
Miniaturized planar electrical capacitance tomography (ECT) device is fabricated using microfabrication method to accommodate eight planar electrodes to carry out electrical capacitance measurement using tomography technique. Fluids within the detection chamber are detected by the difference of the permittivity parameters. Stagnant and hydrodynamic multiphase samples such as liquid-gas and liquid-liquid are tested. The eight-electrode planar array is fabricated on the copper plated printed circuit board (PCB) and the chamber is fabricated using polymer poly(dimethyl-siloxane) (PDMS). The images of the multiphase sample are reconstructing using Linear Back Projection algorithm (LBP). Computer interface software is developed to display the images of the fluid online. Experimental results show that the reconstructed images closely resemble with the composition of the multiphase sample within the detection chamber.
Volume: 15
Issue: 2
Page: 778-785
Publish at: 2017-03-01

Measurement of 3 Solar Panel Output with Different Treatment Involving Controller and Reflector

10.12928/telkomnika.v15i1.3478
Yulinar; Sriwijaya University Adnan , Khairul; Sriwijaya University Saleh , Assaidah; Sriwijaya University Assaidah
Solar cell as one of renewable energy source had been treated differently in this research. In order to optimize its output and efficiency, three panels output was measured simultaneously by vary its movement and sun light exposure. The variations of measurement  are one static panel without any treatment; one static panel with two mirrors as reflector; and one dynamic panel with reflector. The dynamic panel movement controlled by microcontroller. Result had revealed that the treatment succesfully improve the output of solar cell.
Volume: 15
Issue: 1
Page: 138-142
Publish at: 2017-03-01

Reliability Evaluation of Low-voltage Switchgear Based on Maximum Entropy Principle

10.12928/telkomnika.v15i1.4255
Zhang; Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability，Hebei University of Technology, Tianjin, China Zhigang , Wang; Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability，Hebei University of Technology Jingqin , Wang; Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability，Hebei University of Technology, Tianjin, China Li , Wang; Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability，Hebei University of Technology, Tianjin, China Meng
In this paper, based on the definition of two-parameter joint entropy and the maximum entropy principle, a method was proposed to determine the prior distribution by using the maximum entropy method in the reliability evaluation of low-voltage switchgear. The maximum entropy method takes kinds of priori information as different constraints. The optimal prior distribution was selected by maximizing entropy under these constraints, which not only contains the known prior information but also tries to avoid the introduction of other assumption information. Based on non-parametric bootstrap method, the hyper-parameters of prior distribution is obtained by two-order moment of prior information. Finally, with the bootstrap method, the prior distribution robustness and the posterior robustness were analyzed, and the posterior mean time between failures for the low-voltage switchgear was estimated.
Volume: 15
Issue: 1
Page: 101-108
Publish at: 2017-03-01

Tapered Microchannel for Multi-particles Passive Separation Based on Hydrodynamic Resistance

10.11591/ijeecs.v5.i3.pp628-635
Ida Laila Ahmad , Mohd Ridzuan Ahmad
Researches on separation of multi-particles utilizing microfluidic have been flourishing in recent years with the aid from advancements in microfabrication design and technology. Generally, separation is beneficial for biomedical application especially involving heterogeneous samples. Due to inherent problems of samples isolation, a simple and efficient separation device is required. Here, we present a passive tapered microchannel for multi-particles separation using hydrodynamic principle. Our emphasis is on the effect of hydrodynamic resistance coupled with tapered microchannel design. In the experiment, successful multi-particles samples separation was observed. The results were further analyzed and were in agreement with the proposed concept. This method opens the route toward robust, low-cost and high-throughput, thus it may holds potential to be integrated as one functional module in micro total analysis system.
Volume: 5
Issue: 3
Page: 628-635
Publish at: 2017-03-01

Potentiometric Glucose Detection by Paper-based Electrochemical Sensor on CMOS Chip

10.12928/telkomnika.v15i2.6129
Katsuyuki; Ritsumeikan University Yamaoka , Jun; Ritsumeikan University Eguchi , Shigeyasu; Ritsumeikan University Uno
This paper presents a low cost portable medical device for biochemical sensor using CMOS chip and paper-based fluidic channel. We measured a potential produced by enzyme activity of glucose between the working and reference electrode on CMOS chip. A liquid sample is transported by paper-based fluidic channel, which is made of chromatography paper and silicone resin, and consists of the area for filtering a sample (filter layer) and that for reacting enzyme (enyzme layer). The paper-based fluidic channel is used by combining CMOS chip, and the solution with glucose is dropped from top of the paper-based fluidic channel. The concentrations of glucose are detected by potentiometry (open circuit potential time). The experimental results show that the glucose concentration is measured by CMOS chip and paper-based fluidic channel.
Volume: 15
Issue: 2
Page: 836-841
Publish at: 2017-03-01

Open-circuit Fault Diagnosis for Grid-connected NPC Inverter based on Independent Component Analysis and Neural Network

10.12928/telkomnika.v15i1.3677
Xiaofeng; Nanchang University Wan , Hailin; Nanchang University Hu , Yunjun; Nanchang University Yu , Liping; Wireless Laboratory, ZTE Co., Shenzhen Kang , Fanpeng; Jiangsu Lin Yang energy Co., Ltd, Qidong Zeng
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexAn open circuit (O-C) fault detection method for grid-connected neutral-point-clamped (NPC) inverter based on independent component analysis (ICA) and neural network (NN) is proposed in this paper. A NN classifier is applied to the fault diagnosis of NPC inverter. The ICA is utilized for the three phase current feature extraction. The ICA reduces the number of NN input neuron. A lower dimensional input space reduces the noise and the training time of NN, the ICA algorithm improves the mapping performance. The proposed algorithm is evaluated with simulation test set. The overall classification performance of the proposed network is more than 97%. The simulation results show that the proposed algorithm performs satisfactorily to fault location.
Volume: 15
Issue: 1
Page: 36-47
Publish at: 2017-03-01
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