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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,226 Documents
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Improving lecturers’ evaluation score by using analytic hierarchy process (AHP): a case at universiti kuala lumpur Nurashikin Saaludin; Mohd Hafizul Ismail; Basyirah Che Mat; Suriyati Harun
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i1.pp391-398

Abstract

The quality of education is primarily determined by the academician expertise, skills, abilities and competences. Poor quality of education will give bad impact to the institution.  It is very important to enhance the quality of service to ensure education system in Malaysia higher education is at par as international education standard. To achieve the international standard, the teaching quality of lecturers must be seriously taken into consideration. An appropriate method of lecturers’ evaluation should be used to measure lecturers’ performance and credibility. The purpose of this study is to improve the lecturers’ evaluation score by using Analytic Hierarchy Process (AHP). AHP is used to obtain the weightage of each criteria in lecturers’ evaluation.  The results show that teaching delivery carries the highest weightage, followed by assesment, course content and course material, lecturer’s interaction and lecturer’s commitment criteria. By implementing a new method of calculation, the overall score will be more accurate in describing the overall lecturers performance from students’ point of view.
Grid & Force Based Sensor Deployment Methods in WSN using PSO Aparna Pradeep Laturkar; Sridharan Bhavani; DeepaliParag Adhyapak
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp271-279

Abstract

Wireless Sensor Network (WSN) is emergingtechnology and has wide range of applications, such as environment monitoring, industrial automation and numerous military applications. Hence, WSN is popular among researchers. WSN has several constraints such as restricted sensing range, communication range and limited battery capacity. These limitations bring issues such as coverage, connectivity, network lifetime and scheduling & data aggregation. There are mainly three strategies for solving coverage problems namely; force, grid and computational geometry based. PSO is a multidimensional optimization method inspired from the social behavior of birds called flocking. Basic version of PSO has the drawback of sometimes getting trapped in local optima as particles learn from each other and past solutions. This issue is solved by discrete version of PSO known as Modified Discrete Binary PSO (MDBPSO) as it uses probabilistic approach. This paper discusses performance analysis of random; grid based MDBPSO (Modified Discrete Binary Particle Swarm Optimization), Force Based VFCPSO and Combination of Grid & Force Based sensor deployment algorithms based on interval and packet size. From the results of Combination of Grid & Force Based sensor deployment algorithm, it can be concluded that its performance is best for all parameters as compared to rest of the three methods when interval and packet size is varied.
A novel approach to assess radial distribution system for optimal sizing of microgrid Shalaka Chaphekar; Anjali A. Dharme
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1618-1625

Abstract

The performance of Radial Distribution System (RDS) is enhanced by maintaining the appropriate Penetration Ratio (PR) of Distributed generation.  However, it has been observed that Penetration Ratio cannot be useful to analyze the impact of a Microgrid on performance of RDS. Hence a new index ‘Relief Factor’ (RF) is defined in this paper and the impact of Microgrid at different RF is studied. This paper presents an approach to compute daily energy losses variation when Microgrids of varying RF are connected to RDS having different maximum demands.  A methodology has been proposed for finding optimal RF and location of Microgrid.  In addition, the impact of maximum demand of RDS on optimum RF is analyzed. This paper gives the novel concept of assessing the RDS for integration of Microgrid based on maximum demand of RDS as well as Microgrid and sizing of Microgrid based on optimum Relief Factor.
Power Factor Correction using Valley-Fill SEPIC Topology with Fuzzy Logic Control R. Balamurugan; S. Hariprasath; R. Nithya
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i11.pp7622-7630

Abstract

This paper deals with a new Single Ended Primary Inductance Converter (SEPIC) for Power Factor Correction (PFC). The proposed converter is used in combination with SEPIC and a valley fill circuit. The valley fill circuit improves the efficiency of the SEPIC by reducing the harmonics in the supply mains. The power factor is also enhanced compared to the conventional PFC converters. It uses the simple control strategy for controlling the power factor of the AC mains. It can be preferred to low power applications, since it has the merits like less input current ripples and less total harmonic distortion (THD). To observe the performance of the Valley fill circuit, a model based on the SEPIC topology has been designed by using MULTISIM and MATLAB / SIMULINK environment and implemented with one cycle control (OCC) and Fuzzy logic controller. The simulations results are demonstrated in order to validate the effectiveness of the controllers in power factor improvement.
Investigating Ferroresonance Phenomenon in a Single-Phase Transformer with the Effect of Magnetic Hysteresis Behrooz Rezaeealam; Behzad Norouzi
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 2: May 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i2.pp248-258

Abstract

Ferroresonance is a non-linear phenomenon and very dynamic in the power quality problems. This phenomenon should be carefully analyzed so that preventive measures could be taken before its appearance and prevent injury and damage to electrical power appliances. Ferroresonance is seen more in the middle-voltage networks with supplying unloaded or slightly loaded transformers by cables. The materials used in the manufacture of transformer cores are creates a major role in their dynamic behavior. In this article are used from two types magnetic material GOES and NGOES in the transformer core of single phase. The physical behavior of these materials is considered during the core hysteresis. For modeling the hysteresis loop has been used from Jiles-Atherton method. By using the finite element method and with help COMSOL Multiphysics Software, transformer is simulated in two space dimensions. Laboratory test the transformer core hysteresis loop is described and shows which the Jiles-Atherton model is one of the best known models of hysteresis. The results shows which use of GOES materials in the transformer core is cause Significant reduction the core losses in comparison with the NGOES materials. Also change of ferroresonance mode and the severity its occurrence are the results of changing the material used in the transformer core.
An Anti Mode Mixing EMD Algorithm for Detecting the Characteristics of Low Frequency Oscillations in Power System Jianbo Yi; Qi H uang; Shi Jing; Lijie Ding
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The dynamics of modern interconnected power system is characterized by low frequency oscillations (LFOs) which are produced as results of various disturbances such as changes in loads, tripping of lines, faults, and other discrete events. A data-driven empirical mode decomposition (EMD) method is applied to the detection of low frequency oscillation modes from disturbed trajectory with its strong non-stationary signal processing capability, but the mode mixing phenomenon serious impact on the analysis credibility and accuracy of EMD method. In this paper, an anti mode mixing EMD composite algorithm is proposed for detecting the characteristics of LFOs in power system. First, the improved frequency heterodyne method is proposed to increase the spectral distance between adjacent mode components in order to meet the octave resolution requirements. Second, the wavelet singularity detection technology is proposed to determine the adaptive sliding analysis window for each mode, in which there implements the intermittency mixed modes separation and their nonstationary parameters identification. Finally, the analysis result of interconnected grid test case verify that the proposed algorithm can effectively overcome the impact of the mode mixing existed in EMD and improve the characteristics detection accuracy of LFOs characteristics. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3134 
YouTube Spam Comment Detection Using Support Vector Machine and K–Nearest Neighbor Aqliima Aziz; Cik Feresa Mohd Foozy; Palaniappan Shamala; Zurinah Suradi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: November 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i2.pp612-619

Abstract

Social networking such as YouTube, Facebook and others are very popular nowadays. The best thing about YouTube is user can subscribe also giving opinion on the comment section. However, this attract the spammer by spamming the comments on that videos. Thus, this study develop a YouTube detection framework by using Support Vector Machine (SVM) and K-Nearest Neighbor (k-NN). There are five (5) phases involved in this research such as Data Collection, Pre-processing, Feature Selection, Classification and Detection. The experiments is done by using Weka and RapidMiner. The accuracy result of SVM and KNN by using both machine learning tools show good accuracy result. Others solution to avoid spam attack is trying not to click the link on comments to avoid any problems.
Load Disturbance Rejection Based PID Controller for Frequency Regulation of a Microgrid Badal Kumar; Sandeep Bhongade
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i3.pp625-642

Abstract

Today’s world is very much concerned to reduce green house gas emission from the conventional thermal power plants as cutting down emissions from transport and heating sector may not be realistic in the near future. To reduce pollution from electrical power sources, the world is now marching towards usage of renewable energy sources (RESs). These sources being small in capacity are mostly connected at the distribution voltage level. This indirectly reduces transmission and distribution losses as the sources are around the load. This distribution system having small scale energy sources is called as a microgrid or active distribution network. Microgrid operates generally in a grid connected mode. However, circumstances such as fault, voltage sag and large frequency oscillations in the main grid may force the active distribution network to be disconnected from the main grid and operate as an isolated microgrid . During this isolation there will be change in power output from the controllable microsources which are to be regulated properly to have a stable operation in regard to power balance and frequency of operation within the isolated microgrid. An autonomous isolated microgrid comprising both controllable & uncontrollable sources. Like solar, wind, diesel generator(DG), aqua electrolyzer(AE), fuel cell(FC),  a battery energy storage system(BESS), and fly wheel(FW) are considered. Solar, wind, DG and FC are power generating source & BESS, FW, AE as energy storage element. The generated hydrogen by an AE is used as fuel for a FC. The power system frequency deviates for the sudden change in load demand and the real power generation. The output power of DG,  FC, BESS, FW and power absorbed by AE is regulated by using controller such that frequency of the system is controlled. Controller used is proportional plus integral plus derivative (PID). Load Disturbance Rejection(LDR) is used for tuning of controller gains of the proposed hybrid system. This uses the chien-hornes-resnick(CHR) setting with 20% overshoot. Design of p-f droop(frequency regulation parameter) for different controllable source in microgrid using bode plot stability criterion. The system response with Modified LDR based controller, LDR based controller and classical controller are compared. Investigation shows that Modified LDR based controller gives best response amongst these three methods.
Real time robustness test evaluation performance for intelligent fuzzy controller in extraction process Z. M. Zakiah Mohd Yusoff; Nur Dalila Khirul Ashar; Zuraida Muhammad; Amar Faiz Zainal Abidin; Noor Fadzilah Razali; Shakira Azeehan Azli; A.M. MaArkom; Khairul Kamarudin Bin Hasan
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1290-1296

Abstract

This paper presents the real time robustness test using intelligent fuzzy based controller in extraction process of essential oil is discussed in this study. Previous finding shows that the quality of the essential oil is affected by the steam temperature that acts as the control variable in this study. The robustness test is applied to the system during running process to show the system is robust to any operation conditions t make sure the controller is able to give a smooth control output response. The dynamic performance of the system are represented by applying  standard performance criteria such as rise time Tr, settling time Ts, overshoot %OS, root mean square error (RMSE) and time on recovering load disturbance. Generally, the objectives in designing the controllers have been achieved because all intelligent fuzzy based controllers capable to regulate the desired set point by acting on the change in the output compared with the set point.
Investigations on properties of (ZnO:Al) films prepared by RF/DC co-sputtering Meng Chao
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Aluminum doped zinc oxide (ZnO:Al) thin films with high conductivity, resistance to ion irradiation, high transparency in the visible range and moderate costs will be one of the most promising candidates for the present predominant transparent conducting materials. However, there are still some problems such as long preparation cycle and high surface resistance. In this paper, adding a certain amount of radio frequency (RF) power to the applied DC power, this technique known as RF-DC co-sputtering ionization is mainly driven by oscillating electrons in the bulk plasma, there is an enhanced substrate bombardment by plasma ions (mainly Ar+) of moderate energy to improve the optical and electrical properties of the film. The samples of crystal structure, surface morphology, electrical conductivity were investigated by X-ray diffraction (XRD), scanning electron microscopy (SEM), four-probe meter, as well as visible spectrophotometer. The results show that the average transmittance in the visible was 89% and the resistivity was reduced by 80% compared to other single technique.  When the radio frequency power makes up around 50% of the total, the resistivity reach a minimum of 1.5×10-3Ω•cm, improve the homogeneity of the film Effectively. DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1273 

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