cover
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
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,226 Documents
Modified brute force algorithm to solve the closest pair of points problem based on dynamic warping Rhowel M. Dellosa; Arnel C Fajardo; Ruji P. Medina
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.pp1629-1636

Abstract

This paper introduces an algorithm to solve the closest pair of points problem in a 2D plane based on dynamic warping. The algorithm computes all the distances between the set of points P(x, y) and a reference point R(i, j), records all the result in a grid and finally determines the minimum distance using schematic steps. Results show that the algorithm of finding the closest pair of points has achieved less number of comparisons in determining the closest pair of points compared with the brute force and divide-and-conquer methods of the closest pair of points. 
Research on automobile culture and entertainment industry in China Cai Yun; Tang Lan; Li Qing-song
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 4: August 2012
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Rapid development of the automotive Industry and culture Industry is promoted the rapid rise of automobile industry of the culture and entertainment. With the further development of the automobile industry and people's living standards, automobile industry of the culture and entertainment in the proportion of China's economy is more and more important, but theoretical research in this area is nearly blank. With previous researches, automobile industry of the culture and entertainment in China was classified in the topic in the first. After detailed analysis of the status of each sub-categories, some development experiences were summarized. On the basis of the experiences, This paper presents suggestions how to make our c automobile industry of the culture and entertainment healthy and rapid development. DOI: http://dx.doi.org/10.11591/telkomnika.v10i4.852
A Survey of Machine Translation Methods Peng Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

With the international exchanges become more frequent, human translation can't meet the need of society, and with the developing of computer technology, machine translation becomes feasible. Reviews the history of machine translation and analyzes the main methods of machine translation, finally puts forward of the suggestions on machine translation construction. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.2780 
An effective method to improve Electronic Equipment Condition Monitoring Based on KPCA-EDA and MMSH-SVDD Shen Yang; Chen Meng; Meng Lv
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In order to improve the validity of electronic equipment condition monitoring, overcome the shortage of normal KPCA (Kernel Principal Component Analysis) and SVDD (Support Vector Data Description) monitoring model, a method on electronic equipment condition monitoring based on KPCA-EDA (KPCA- Estimation of Distribution Algorithm ) and MMSH-SVDD (Maximal Margin Separating Hypersphere SVDD Mode ) is put forward. Firstly, the feature of original monitoring data is extracted by KPCA-EDA algorithm, and a group of features with enough state identifying information are obtained; then the MMSH-SVDD model is trained by the normal state and a little bit of fault state features, and the unknown state feature is applied to the trained model; Finally, a filter circuit is taken as an example in simulations, the result shows that this method is the effective method improve the performance of electronic equipment condition monitoring. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4332
A Model of FPGA-based Direct Torque Controller Tole Sutikno; Nik Rumzi Nik Idris; Aiman Zakwan Jidin; Auzani Jidin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

This paper presents a generic model of a fully FPGA-based direct torque controller. This model is developed using two’s-complement fixed-point format approaches, in register-transfer-level (RTL) VHDL abstraction for minimizing calculation errors and consuming hardware resource usage. Therefore, the model is universal and can be implemented for all FPGA types. The model is prepared for fast computation, without using of CORDIC algorithm, a soft-core CPU, a transformation from Cartesian-to-polar coordinates, and without the help of third-party applications. To get simpler implementation and fast computation, several methods were introduced: i) the backward-Euler approach to calculate the discrete-integration operation of stator flux, ii) the modified non-restoring method to calculate complicated square-root operation of stator flux, iii) a new sector analysis method. The design, which was coded in synthesizable VHDL in RTL abstraction for implementation on Altera DE2-board has produced very-precise calculations, with minimal error when being compared to MATLAB/Simulink double-precision calculation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2002
An Impact of ZigBee Technology in Data Communication System Dhanya. T
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 1: January 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i1.pp64-67

Abstract

ZigBee is an IEEE 802.15.4 standard for information interchanges with business and purchaser gadgets. It is composed around low-control utilization permitting batteries to keep going forever. The ZigBee standard gives system, security, and application bolster administrations working on top of the IEEE 802.15.4 Medium Access Control (MAC) and Physical Layer (PHY) remote standard. It utilizes a suite of innovations to empower adaptable, self-arranging, self-mending systems that can oversee different information movement designs. ZigBee is an ease, low-control, remote lattice organizing standard. The ease permits the innovation to be broadly sent in remote control and observing applications, the low power-use permits longer an existence with little batteries, and the cross-section systems administration gives high dependability and bigger range.ZigBee has been created to take care of the developing demand for able remote systems administration between various low power. In industry ZigBee is being utilized for cutting-edge robotized assembling, with little transmitters in each gadget on the floor, taking into consideration correspondence between devices to a focal PC. This new level of communication allows finely-tuned remote observing and control.
Jobseeker-industry matching system using automated keyword selection and visualization approach Norhaslinda Kamaruddin; Abdul Wahab Abdul Rahman; Ramizah Amirah Mohd Lawi
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1124-1129

Abstract

Learning opportunities are available with the accessibility of new learning technologies, discovery of untraditional learning pathways and awareness of the importance of connecting current knowledge with new learning. Such situation allows the expansion in the number of courses, programs and professional certifications offered to the students resulting to the increment of the number of graduates annually. The graduates then employed by the industry for executing the job. However, there is a growing concern about the increment of unemployed graduates in the job market. One of the reasons of the mismatch between graduates’ skills and employers’ needs is that the jobseekers tend to choose wrong job because they are overwhelmed by the choices and typically they just randomly send the application because it is time consuming to filter relevant advert. Such action may have repercussion to the industry because the employers need to select relevant candidates to fill up the post from the unfiltered pile of applications making the selection process lengthy and time consuming. In this paper we proposed an automated approach to match the graduates’ and employers’ needs using a hybrid of text mining and visualization approach to facilitate jobseekers’ task of relevant job application. The important keywords are automatically extracted based on the frequency of the word used in the adverts. Then, the graduates’ skills are matched from their personalized profile. Relevant visualization approaches are incorporated to facilitate the selection. It is practical and feasible for the proposed approach to be incorporated in job searching websites that can optimize jobseekers and employers time and effort for a suitable match.
Tissue Flow Detection Using Fuzzy Logic Method in Color Flow Imaging Xiaoming Zhou; Wen Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6840-6845

Abstract

Tissue/flow detection is critical for high quality 2-D color flow image. The traditional tissue/flow detection method is based on one or several thresholds which are used for parameters after autocorrelation. Generally a lot of parameters: flow magnitude, variance and velocity are applied for tissue/flow detection. But this method may not distinguish tissue/flow because of moving tissue or noise. So in this paper, fuzzy logic method with multi-level range based on in vivo carotid I/Q data was proposed with three parameters: echo amplitude, flow magnitude and Flow variance for tissue/flow detection and then decision look-up-table (LUT) was designed for real time display. Experiment results shows that fuzzy logic method was improved for tissue flow detection significantly and can get high quality 2-D color flow image.
Curve Fitting And Interpolation Model Applied In Nonel Dosage Detection Jiuling Li; Quanjie Gao; Lei Peng; Liping Song
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The Curve Fitting and Interpolation Model are applied in Nonel dosage detection in this paper firstly, and the gray of continuous explosive in the Nonel has been forecasted. Although the traditional infrared equipment establishes the relationship of explosive dosage and light intensity, but the forecast accuracy is very low. Therefore, gray prediction models based on curve fitting and interpolation are framed separately, and the deviations from the different models are compared. Simultaneously, combining on the sample library features, the cubic polynomial fitting curve of the higher precision is used to predict grays, and 5mg-28mg Nonel gray values are calculated by MATLAB. Through the predictive values, the dosage detection operations are simplified, and the defect missing rate of the Nonel are reduced. Finally, the quality of Nonel is improved. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2706
JAVA and DART programming languages: conceptual comparison Afaf Mirghani Hassan
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 2: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i2.pp845-849

Abstract

This paper elaborates on the concepts of a new programming language “Dart”, which has been developed by Google and considered for future use. Here, we compare it to the most famous, real time, and updated language “Java”. This is to define similarities and differences between the two important languages, explain programs’ behavior, with a focus on investigating alternative implementation strategies and problem definitions. We used programming languages’ concepts and terminologies to compare between the main characteristics of the two languages, Dart & Java.

Filter by Year

2012 2026


Filter By Issues
All Issue Vol 42, No 1: April 2026 Vol 41, No 3: March 2026 Vol 41, No 2: February 2026 Vol 41, No 1: January 2026 Vol 40, No 3: December 2025 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