cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
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 9,049 Documents
 3   4   5   6   7 
Distributed System and Multimaster Replication Model on Reliability Optimation Database Ravie Kurnia Laday; Heru Sukoco; Yani Nurhadryani
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2015
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Over the last two decades, significant advances have been made in the development of techniques for evaluating the performance, availability, and reliability of computer and communication systems in integration [11]. The reliability of the network is an important parameter in network [4]. Reliability is the performance, availability and security is a factors most important in a network . A distributed system is a system architecture in which computers can communicate and share resources [8]. This research applies a distributed system with load balancing and multimaster replication techniques in database. The results of this study found that the design of a system built to keep the data for connections between servers is in good condition and occurs down on one of the database server.DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7114 
Detecting learning disabilities based on neuro-physiological interface of affect (NPIoA) Nurul Izzati Mat Razi; Abdul Wahab Abdul Rahman; Norhaslinda Kamaruddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp164-171

Abstract

Learning disability (LD) is a neurological processing disorder that causes impediment in processing and understanding information. LD is not only affecting academic performance but can also influence on relationship with family, friends and colleagues. Hence, it is important to detect the learning disabilities among children prior to the school year to avoid from anxiety, bully and other social problems. This research aims to implement the learning disabilities detection based on the emotions captured from electroencephalogram (EEG) to recognize the symptoms of Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD) and dyslexia in order to have early diagnosis and assisting the clinician evaluation.  The results show several symptoms that ASD children have low alpha power with the Alpha-Beta Test (ABT) power ratio and ASD U-shaped graph, ADHD children have high Theta-Beta Test (TBT) power ratio while Dyslexia have high Left-over-Right Theta (LRT) power ratio.  This can be concluded that the learning disabilities detection methods proposed in this study is applicable for ASD, ADHD and also Dyslexia diagnosis.
Optimal Multi-Distributed Generators Planning Under Uncertainty using AHP and GA Wanxing Sheng; Limei Zhang; Wei Tang; Jinli Wang; Hengfu Fang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Power system deregulation and the shortage of energy sources have led to increased interests in distributed generators (DGs). The access of DGs to the distribution networks brings advantages as well as creates adverse influences, which is related to the type, location and size of DGs.  In order to fully apply the positive and restrain the negative, proper DGs planning is very important and indispensable. Based on the analysis of the uncertain factors, this paper presents the distribution features of load, WTG and PV. And According to these distribution features, the relatively accurate sampling data are obtained by different discretization methods. Furthermore, this paper also presents an uncertain planning model of DGs owned by the distribution company, which involve power loss improvement, the system voltage quality variation, environment change, etc. The optimization algorithm is based on the fusion methodology with the Monte Carlo simulation, the analytical hierarchy process (AHP) and genetic algorithm (GA). The simulation is carried out on IEEE 37-bus distribution systems and the results is presented and discussed. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4824
A Novel Method Based on Biogeography-Based Optimization for DG Planning in Distribution System Mohammad Sedaghat; Esmaeel Rokrok; Mohammad Bakhshipour
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2015
Publisher : Institute of Advanced Engineering and Science

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

Abstract

This paper proposed a novel technique based on biogeography-based optimization (BBO) algorithm in order to optimal placement and sizing of distinct types of Distributed Generation (DG) units in the distribution networks which is applied to improve voltage profile as the main factor for power quality improvement and reduce power losses. In order to promote the investigation to be capable in practical terms, the loads are linearly varied in small steps of 1% from 50% to 150% of the base value. The optimal size and location of distinct types of DGs are found out in each load step. This will aid the distribution network operators (DNOs) to have a long term scheduling for the optimal management of DG units and achieve the maximum performance. To verify the efficiency of proposed method, it has been conducted to IEEE 33-bus radial distribution system. Also, simulation results are compared with the analytical approach and HPSO algorithm (mixed binary and typical particle swarm optimization algorithm). The obtained simulation results demonstrate the better performance and effectiveness of the proposed method. DOI: http://dx.doi.org/10.11591/telkomnika.v15i1.8083 
Software reliability modeling with testing-effort function and imperfect debugging ZHAO Qian; ZHENG Jun; LI Jing
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 8: December 2012
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Considering testing effort and imperfect debugging in reliability modeling process may further improve the fitting and prediction results of software reliability growth models (SRGMs). For describing the S-shaped varying trend of the testing-effort increasing rate more accurately, this paper first proposes a inflected S-shaped testing effort function (IS-TEF). Then this new TEF is incorporated into the inflected S-shaped NHPP SRGMs for obtaining a new NHPP SRGMs which consider S-shaped TEF (IS-TEFM-IS). We further discuss this new NHPP SRGM with two imperfect-debugging assumptions to propose two new NHPP SRGMs, i.e. IS-TEFM-IS-ID1 and IS-TEFM-IS-ID2. Finally these three new NHPP SRGMs and several comparison NHPP SRGMs are applied into two real failure data-sets respectively for investigating the fitting power of the IS-TEFM-IS, IS-TEFM-IS-ID1 and IS-TEFM-IS-ID2. The experimental results show that the inflected S-shaped NHPP SRGMs considering IS-TEF and imperfect indeed can yield the best accurate estimation results than the other comparison SRGMs. DOI: http://dx.doi.org/10.11591/telkomnika.v10i8.1630
Prediction of Vehicle Trajectory Based on Fuzzy Colored Petri Net Chang Wang; Jiahe Qin; Minghua Guo; Yuanxin Xu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Aiming at the difficulty in establishing model to describe vehicle running state, real road test was carried out to capture data which represent the movement of vehicles. Coordinate transformation method and transform relationship among different variable parameters were used to establishing represent model of vehicle movement. By using Petri net which had well layering and time sequence, vehicle trajectory, speed, side slip angle, and yawrate were treated as parameters to describe the movements of vehicle. Domain of discourse and subordinating degree function were confirmed, and fuzzy rules related to controllability and driving comfort were established. Verification tests results show that the Petri net model can describe the vehicle movement accurately, and the predict results of represent parameters were similarly with the real measured data. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3412 
Performance Evaluation of Multicarrier Based Techniques for Single Phase Hybrid Multilevel Inverter using Reduced Switches Nunsavath Susheela; P. Satish Kumar
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.pp676-686

Abstract

The multilevel inverters are very popular in high power high voltage applications. However the multilevel inverters has some demerits such as requiring higher number of components, PWM control method is complex and capacitor voltage balancing problem. The hybrid multilevel inverter presented in this paper has superior characteristics over conventional multilevel inverters. The hybrid multilevel inverter employs fewer components and less carrier signals when compared to conventional multilevel inverters. It consists of level generation and polarity generation stages which involves high frequency and low frequency switches. The complexity and overall cost for higher output voltage levels are greatly reduced. Implementation of single phase 7-level, 9-level and 11-level hybrid multilevel inverter has been performed using sinusoidal pulse width modulation (SPWM) strategies i.e., phase disposition (PD), alternate phase opposition disposition (APOD) and carrier overlapping (CO). Also the three techniques are compared in terms of total harmonic distortion (THD) for various modulation indices and observed to be greatly improved when compared to conventional topologies. The performance of single phase eleven level hybrid inverter is analyzed for different loads.  Simulation is performed using MATLAB/ Simulink.
IoT task management system using control board Changsu Kim; Youngkuk Kim; Hoekyung Jung
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp155-161

Abstract

Recently, Internet of Things (IoT) has been providing services that increase convenience for users by connecting objects to a network. As a result, the number of users and smart devices utilizing IoT is also increasing. So, the existing system has a problem that when a variety of devices are added, a bottleneck or an overload of the server occurs, because of structure of the system. In this paper, we propose IoT task management system using control board to solve these problems. The server performs only simple communication and analysis, and the management of tasks such as remote control is carried out using the control board. Also, it analyzes the user's remote control command and recommends to users the most used equipment. Through this, it is possible to reduce the data throughput and traffic of the server and to provide the service with increased convenience and accuracy of operation. 
Twitter data analysis using hadoop ecosystems and apache zeppelin Stanly Wilson; Sivakumar R
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1490-1498

Abstract

The day-to-day life of the people doesn't depend only on what they think, but it is affected and influenced by what others think. The advertisements and campaigns of the favourite celebrities and mesmerizing personalities influence the way people think and see the world. People get the news and information at lightning speed than ever before. The growth of textual data on the internet is very fast. People express themselves in various ways on the web every minute. They make use of various platforms to share their views and opinions. A huge amount of data is being generated at every moment on this process. Being one of the most important and well-known social media of the present time, millions of tweets are posted on Twitter every day. These tweets are a source of very important information and it can be made use for business, small industries, creating government policies, and various studies can be performed by using it. This paper focuses on the location from where the tweets are posted and the language in which the tweets are written. These details can be effectively analysed by using Hadoop. Hadoop is a tool that is used to analyze distributed big data, streaming data, timestamp data and text data. With the help of Apache Flume, the tweets can be collected from Twitter and then sink in the HDFS (Hadoop Distributed File System). These raw data then analyzed using Apache Pig and the information available can be made use for social and commercial purposes. The result will be visualized using Apache Zeppelin.
The Navel Orange Sugar and Acidity Quantitative Prediction Model Optimization Research by Second Generation Wavelet Transform Zhao Ke; Yang Han; Wang Zhong; Wang Qi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5414-5419

Abstract

The author researches the impact of the second generation wavelet transform spectrometer data preprocessing navel orange sugar content and acidity Partial Least Squares (PLS) quantitative accuracy of the prediction model. This paper also collects the spectral date of one hundred navel oranges by visible/near-infrared diffuse reflectance detection technology and establishes the navel orange sugar content and acidity PLS prediction model using the sixty navel oranges as the establishing samples. The author contrasts changes of navel orange sugar content and acidity PLS prediction model because the spectral date of navel oranges are processed by the second generation wavelet transform, Finally conclusion: the second generation wavelet transform processing navel orange spectral data can improve the predictive ability of the sugar content and acidity PLS quantitative analysis models.

Page 5 of 905 | Total Record : 9049

 3   4   5   6   7 

Filter by Year

2012 2025


Reset
Filter By Issues
All Issue Vol 40, No 2: November 2025 Vol 40, No 1: October 2025 Vol 39, No 3: September 2025 Vol 39, No 2: August 2025 Vol 39, No 1: July 2025 Vol 38, No 3: June 2025 Vol 38, No 2: May 2025 Vol 38, No 1: April 2025 Vol 37, No 3: March 2025 Vol 37, No 2: February 2025 Vol 37, No 1: January 2025 Vol 36, No 3: December 2024 Vol 36, No 2: November 2024 Vol 36, No 1: October 2024 Vol 35, No 3: September 2024 Vol 35, No 2: August 2024 Vol 35, No 1: July 2024 Vol 34, No 3: June 2024 Vol 34, No 2: May 2024 Vol 34, No 1: April 2024 Vol 33, No 3: March 2024 Vol 33, No 2: February 2024 Vol 33, No 1: January 2024 Vol 32, No 3: December 2023 Vol 32, No 1: October 2023 Vol 31, No 3: September 2023 Vol 31, No 2: August 2023 Vol 31, No 1: July 2023 Vol 30, No 3: June 2023 Vol 30, No 2: May 2023 Vol 30, No 1: April 2023 Vol 29, No 3: March 2023 Vol 29, No 2: February 2023 Vol 29, No 1: January 2023 Vol 28, No 3: December 2022 Vol 28, No 2: November 2022 Vol 28, No 1: October 2022 Vol 27, No 3: September 2022 Vol 27, No 2: August 2022 Vol 27, No 1: July 2022 Vol 26, No 3: June 2022 Vol 26, No 2: May 2022 Vol 26, No 1: April 2022 Vol 25, No 3: March 2022 Vol 25, No 2: February 2022 Vol 25, No 1: January 2022 Vol 24, No 3: December 2021 Vol 24, No 2: November 2021 Vol 24, No 1: October 2021 Vol 23, No 3: September 2021 Vol 23, No 2: August 2021 Vol 23, No 1: July 2021 Vol 22, No 3: June 2021 Vol 22, No 2: May 2021 Vol 22, No 1: April 2021 Vol 21, No 3: March 2021 Vol 21, No 2: February 2021 Vol 21, No 1: January 2021 Vol 20, No 3: December 2020 Vol 20, No 2: November 2020 Vol 20, No 1: October 2020 Vol 19, No 3: September 2020 Vol 19, No 2: August 2020 Vol 19, No 1: July 2020 Vol 18, No 3: June 2020 Vol 18, No 2: May 2020 Vol 18, No 1: April 2020 Vol 17, No 3: March 2020 Vol 17, No 2: February 2020 Vol 17, No 1: January 2020 Vol 16, No 3: December 2019 Vol 16, No 2: November 2019 Vol 16, No 1: October 2019 Vol 15, No 3: September 2019 Vol 15, No 2: August 2019 Vol 15, No 1: July 2019 Vol 14, No 3: June 2019 Vol 14, No 2: May 2019 Vol 14, No 1: April 2019 Vol 13, No 3: March 2019 Vol 13, No 2: February 2019 Vol 13, No 1: January 2019 Vol 12, No 3: December 2018 Vol 12, No 2: November 2018 Vol 12, No 1: October 2018 Vol 11, No 3: September 2018 Vol 11, No 2: August 2018 Vol 11, No 1: July 2018 Vol 10, No 3: June 2018 Vol 10, No 2: May 2018 Vol 10, No 1: April 2018 Vol 9, No 3: March 2018 Vol 9, No 2: February 2018 Vol 9, No 1: January 2018 Vol 8, No 3: December 2017 Vol 8, No 2: November 2017 Vol 8, No 1: October 2017 Vol 7, No 3: September 2017 Vol 7, No 2: August 2017 Vol 7, No 1: July 2017 Vol 6, No 3: June 2017 Vol 6, No 2: May 2017 Vol 6, No 1: April 2017 Vol 5, No 3: March 2017 Vol 5, No 2: February 2017 Vol 5, No 1: January 2017 Vol 4, No 3: December 2016 Vol 4, No 2: November 2016 Vol 4, No 1: October 2016 Vol 3, No 3: September 2016 Vol 3, No 2: August 2016 Vol 3, No 1: July 2016 Vol 2, No 3: June 2016 Vol 2, No 2: May 2016 Vol 2, No 1: April 2016 Vol 1, No 3: March 2016 Vol 1, No 2: February 2016 Vol 1, No 1: January 2016 Vol 16, No 3: December 2015 Vol 16, No 2: November 2015 Vol 16, No 1: October 2015 Vol 15, No 3: September 2015 Vol 15, No 2: August 2015 Vol 15, No 1: July 2015 Vol 14, No 3: June 2015 Vol 14, No 2: May 2015 Vol 14, No 1: April 2015 Vol 13, No 3: March 2015 Vol 13, No 2: February 2015 Vol 13, No 1: January 2015 Vol 12, No 12: December 2014 Vol 12, No 11: November 2014 Vol 12, No 10: October 2014 Vol 12, No 9: September 2014 Vol 12, No 8: August 2014 Vol 12, No 7: July 2014 Vol 12, No 6: June 2014 Vol 12, No 5: May 2014 Vol 12, No 4: April 2014 Vol 12, No 3: March 2014 Vol 12, No 2: February 2014 Vol 12, No 1: January 2014 Vol 11, No 12: December 2013 Vol 11, No 11: November 2013 Vol 11, No 10: October 2013 Vol 11, No 9: September 2013 Vol 11, No 8: August 2013 Vol 11, No 7: July 2013 Vol 11, No 6: June 2013 Vol 11, No 5: May 2013 Vol 11, No 4: April 2013 Vol 11, No 3: March 2013 Vol 11, No 2: February 2013 Vol 11, No 1: January 2013 Vol 10, No 8: December 2012 Vol 10, No 7: November 2012 Vol 10, No 6: October 2012 Vol 10, No 5: September 2012 Vol 10, No 4: August 2012 Vol 10, No 3: July 2012 More Issue