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Proceeding of the Electrical Engineering Computer Science and Informatics
ISSN : 2407439X     EISSN : -     DOI : -
Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, students, engineers and practitioners together to participate and present their latest research finding, developments and applications related to the various aspects of electrical, electronics, power electronics, instrumentation, control, computer & telecommunication engineering, signal processing, soft computing, computer science and informatics.
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Articles 144 Documents
Search results for , issue "Vol 5: EECSI 2018" : 144 Documents clear
A Measurement Framework for Analyze The Influence of Service Quality and Website Quality on User Satisfaction (Case Study: An IT Service in Jember University) Beny Prasetyo; Fahrobby Adnan; Shinta Wardhani
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (279.854 KB) | DOI: 10.11591/eecsi.v5.1656

Abstract

The information system is a set tools to present information that has been managed well in order to make it easy and useful for its users. One indicator of the successful implementation of information system is how the end-user satisfaction. User satisfaction can be measured using user satisfaction methods. This study aims to develop a measurement framework to measure the user satisfaction of IT services. The measurement framework will be developed using 3 (three) basic theories such as Servqual by Parasuraman, Webqual by Barnes and Vidgen, and Information System Succes Model (ISSM) by DeLone and McLean. The model will be applied to a case study that an IT Service called Sistem Informasi Terintegrasi (SISTER) of the Jember University. This measurements using 100 respondents are students as SISTER's users and will be tested using t testing and GAP analysis. Based on the measurement results, the variable service quality has no significant influence on user satisfaction, and another variable is website quality has a significant influence on user satisfaction. Based on GAP analysis, it's found that the average gap value for service quality variable is -1.12, website quality is -1.00, and user satisfaction is -1.00. It means, the service quality that represents the tangible components, reliability, responsiveness, assurance, and emphaty of SISTER's provider according the students perceptions are still not good. In the future, SISTER's provider need to improve the quality of measurement items of indicators of reliability, responsiveness, assurance, and emphaty if they want to increase the user satisfaction of SISTER.
Improving a Wall-Following Robot Performance with a PID-Genetic Algorithm Controller Heru Suwoyo; Yingzhong Tian; Chenwei Deng; Andi Adriansyah
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.99 KB) | DOI: 10.11591/eecsi.v5.1657

Abstract

A wall-following robot needs a robust controller that navigate robot based on the specified distance from the wall. The usage of PID controller has been successfully minimizing the dynamic error of wall-following robot. However, a manual setting of three unknown parameters of PID-controller often precisely increase instability. Hence, recently there are many approaches to solve this issue. This paper presents an approach to obtaining those PID parameters automatically by utilizing the role of Genetic Algorithm. The proposed method was simulated using MATLAB and tested in a real robot. Based on several experiments results it has been showing the effectiveness of reducing the dynamic error of the wall-following robot.
A Review of Solar Tracker Control Strategies Ali Basrah Pulungan; Lovely Son; Syafii Syafii
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (294.03 KB) | DOI: 10.11591/eecsi.v5.1658

Abstract

The efficiency of solar panels is an interesting study now, due to the limitation of material capabilities used in the manufacture of solar panels. The increasing of the received radiation intensity from the sun is a way to improve the performance of solar panels. In this paper will be exposed increased efficiency of solar panels using the method of tracking the sun. The commonly used sunlight tracking is an active tracker, due to significant efficiency improvements compared to passive trackers. The active tracker consists of a single axis and a double axis, both of which use a motor as a driver. This motor is controlled using a microcontroller or a programmable logic controller (PLC). Furthermore, the automatic tracker based on microcontroller or programmable logic controller (PLC) on single axis or double axis which is implemented and can be tested in real time or periodically.
Quantitative Strategic Planning Matrix Analysis On The Implementation Of Second Screen Technology Jarot S Suroso; Hitori A. Fatchan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.009 KB) | DOI: 10.11591/eecsi.v5.1659

Abstract

A massive technological development requires the company to make strategic changes to compete to survive. In order for companies to survive we need a competitive business advantage to increase Performance Excellence. Similarly, for the PT. Visi Media Asia with its business unit in the field of television, tvOne. In determining and implementing a strategy to compete need to do some analysis. The analytical tool that used in this thesis is IE matrix, SWOT, and QSPM analysis. The internal factor analysis produce the main strength of this company is the company products are loved by people with a score of 0,61. While the company has a major weakness, namely the distribution of technology products is left behind with a score of 0,63. The Merger of internal factors on the company generated an average score of 2,90. External factor analysis (EFAS) generate major opportunities that can be utilized by the company is the development of technology of rapid product distribution with a score of 0,72. While the company's main threat gained from research that people are beginning to switch to digital media than conventional television viewing with a score of 0,63. Merging these two external factors in PT. Visi Media Asia result the average score of 3,12. Based on the SWOT matrix, produced five strategies that can be done by PT. Visi Media Asia on the TV business, tvOne. QSPM processing results is produce the most interesting strategies to be used as a competitive strategy by companies that make technological breakthroughs that can bridging between digital and analog media with TAS value of 7,07.
Feature Expansion for Sentiment Analysis in Twitter Erwin B. Setiawan; Dwi H Widyantoro; Kridanto Surendro
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (272.121 KB) | DOI: 10.11591/eecsi.v5.1660

Abstract

The community's need for social media is increasing, since the media can be used to express their opinion, especially the Twitter. Sentiment analysis can be used to understand public opinion a topic where the accuracy can be measured and improved by several methods. In this paper, we introduce a hybrid method that combines: (a) basic features and feature expansion based on Term Frequency-Inverse Document Frequency (TF-IDF) and (b) basic features and feature expansion based on tweet-based features. We train three most common classifiers for this field, i.e., Support Vector Machine (SVM), Logistic Regression (Logit), and Naïve Bayes (NB). From those two feature expansions, we do notice a significant increase in feature expansion with tweet-based features rather than based on TF-IDF, where the highest accuracy of 98.81% is achieved in Logistic Regression Classifier.
Investment Analysis of Smart Connected Motorbike in Machine to Machine Application in Indonesia Jarot S Suroso; Eva Nurul Jamilah
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (572.712 KB) | DOI: 10.11591/eecsi.v5.1661

Abstract

At present the cellular operator is faced with difficult conditions, where the customer growth rate is at its peak. In terms of income, there was also a decline in growth because legacy services (voice & SMS) tended to decline due to threats from OTT. Therefore, a strategy is needed to survive this condition, one of which is to look at the digital market. The digital service business development strategy is carried out to be able to increase the company's revenue through the implementation of Machine to Machine (M2M) services given the promising potential and support of the digital ecosystem. But in reality, the implementation of digital services has not been able to have a significant impact on the company's revenue growth so that a new strategy is needed with a service innovation. This study aims to model M2M digital services into the Smart Connected Motorbike (SCM) service, as well as analyze the service delivery business model in the PT. XYZ so that it is expected to become a new source of income for cellular operators of PT. XYZ. Furthermore, this research will do investment analysis in machine to machine application. Moreover, this research also indicated that this implementation is also feasible to increase the company's earnings.
Stator Flux Oriented Control of Three-Phase Induction Motor with Improved Decoupling Scheme Irvan Arif; Bernadeta Wuri Harini; Feri Yusivar
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1357.296 KB) | DOI: 10.11591/eecsi.v5.1662

Abstract

This paper proposes an improved decoupling scheme of stator flux-oriented control for three-phase induction motor. The simulation software used in this paper is MATLAB Simulink®. The result of the simulation indicates that this stator flux-oriented control can control the speed of the rotor angle and stator magnetization current successfully. The angular velocity of 120 rad/s achieved by settling time 2 seconds in critically-damped response and steady-state error 0.083%. The controller can overcome the external disturbance in the form of load torque of 5 Nm which has been simulated in this paper. The proposed stator voltage decoupling scheme which is used in this simulation is correct and become one of success factor of this control method.
Efficiency and Reliability Performance's of the Bioinformatics Resource Portal Edy Budiman; Haeruddin Haeruddin; Andi Tejawati
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (598.572 KB) | DOI: 10.11591/eecsi.v5.1663

Abstract

This paper discusses the resource portal of the analysis of the Borneo's Biodiversity Information System (BBIS) from the point of view of the characteristics of efficiency and reliability performance. Data collection methods and tools use the observation approach that simulates 100 simultaneous users, logging every 10 seconds between random clicks on the URL site. Efficiency testing results that measured 27 recommendations from PageSpeed measuring instruments and 19 recommendation parameters from YSlow, obtained average scores on grade A. However, there were still 6 parameters related to system resource issues with grade F scores, and these parameters were the significant effect the reliability value. Reliability test results referring to Jacob Nelson's equation approaches and Standard Telcordia reference. The result shows that the value of R = 0.988967 or the percentage of the reliability value is 98.89% and r = 0.011 or the error rate is 1.1%. and the user threshold test results are found when the number increases to 500 users. The success of efficiency testing parameters significantly affects the percentage of performance reliability.
Robust and Accurate Positioning Control of Solar Panel System Tracking based Sun Position Image Lailis Syafa'ah; Lailatul Fauziyah; Zulfatman Has
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (717.234 KB) | DOI: 10.11591/eecsi.v5.1664

Abstract

This study contains the robust and accurate positioning control design for solar panel system consisting of elevation and azimuth axis tracker. The ultimate objective of the study is to ensure the solar panel move accurately to follow its tracking reference against mechanical load and other disturbances. The tracking reference was the images of actual sun position. Image processing result as the initial reference and high precision encoder as the controller feedback path were intended to obtain the accurate position of hardware response. Sliding Mode Controller (SMC) with Proportional Integral Derivative (PID) Sliding Surface was employed as control technique that guarantee the solar panel system robust against disturbances or load variation. The proposed method was evaluated through software simulation and hardware validation. The software for the simulation and validation was LabVIEW. While the software for image processing was Vision Assistant. From hardware validation, accuracy of the solar panel system to track the sun position image for elevation and azimuth were 2.622% (0.03007 ) and 0.244% (0.00893 ), respectively. These results indicate that the solar panel system was available to move accurately to track the sun position both in azimuth and elevation axis.
Narrow Window Feature Extraction for EEG-Motor Imagery Classification using k-NN and Voting Scheme Adi Wijaya; Teguh Bharata Adji; Noor Akhmad Setiawan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.009 KB) | DOI: 10.11591/eecsi.v5.1665

Abstract

Achieving consistent accuracy still big challenge in EEG based Motor Imagery classification since the nature of EEG signal is non-stationary, intra-subject and inter-subject dependent. To address this problems, we propose the feature extraction scheme employing statistical measurements in narrow window with channel instantiation approach. In this study, k-Nearest Neighbor is used and a voting scheme as final decision where the most detection in certain class will be a winner. In this channel instantiation scheme, where EEG channel become instance or record, seventeen EEG channels with motor related activity is used to reduce from 118 channels. We investigate five narrow windows combination in the proposed methods, i.e.: one, two, three, four and five windows. BCI competition III Dataset IVa is used to evaluate our proposed methods. Experimental results show that one window with all channel and a combination of five windows with reduced channel outperform all prior research with highest accuracy and lowest standard deviation. This results indicate that our proposed methods achieve consistent accuracy and promising for reliable BCI systems.

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