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Proceeding of the Electrical Engineering Computer Science and Informatics
Published by Institute of Advanced Engineering and Science
ISSN : 2407439X     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
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.
Arjuna Subject : -
Articles 649 Documents
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Comparison of Decision Tree, Naïve Bayes and KNearest Neighbors for Predicting Thesis Graduation Achmad Solichin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1991

Abstract

Thesis is one of the evaluations of learning for students. In Universitas Budi Luhur (UBL), especially in the Informatics Department, the thesis is one of the requirements for graduating students to obtain a Bachelor of Computer degree. In each semester, the number of Informatics Department students who take thesis is around 200-300 students. The problem that is still faced is that student graduation in the thesis is not optimal. Student failures in the thesis are allegedly related to several technical and nontechnical factors. In this study, an analysis using data mining algorithms was carried out to determine the factors that influence student graduation in the thesis. The dataset obtained from the Informatics Department students who took a thesis in the 2016/2017, and 2017/2018. In order to obtain the right classification method, this research was tested with three classification methods, namely Decision Tree, Naïve Bayes, and k-Nearest Neighbors (kNN). The results of the comparison of the values of accuracy, precision, and recall indicate that the kNN algorithm has advantages, so this method is chosen to predict graduation. In this study also developed an application for predicting graduation of students' thesis by applying the kNN classification method. The test results showed an accuracy of 78.20%, precision of 80.32%, and recall of 96.49%. This research is expected to be useful for improving the service quality of student thesis
Dual Carrier PWM Inverter-Fed Nine-Phase AC Motors Anwar Muqorobin; Pekik Argo Dahono; Estiko Rijanto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1992

Abstract

In many applications such as electric vehicles, dual mode operation is needed, i.e pulsewidth modulation (PWM) mode for low speed region and squarewave mode for high speed region. The latest research has shown that symmetrical ninephase motor could provide optimal characteristics under dual mode operation, i.e. minimum nverter input and rotor current ripples. By using analytical calculation, in this paper the authors show that asymmetrical nine-phase motor can also provide the optimal characteristics under dual mode operation by simply using dual carrier PWM. This finding is supported by experimental results.
Client Side Channel State Information Estimation for MIMO Communication Sambhavi Tiwari; Abhishek Abhishek; Shkehar Verma; K Singh; M Syafrullah; Krisna Adiyarta
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1993

Abstract

Multiple-input multiple-output (MIMO) system relies on a feedback signal which holds channel state information (CSI) from receiver to the transmitter to do pre-coding for achieving better performance. However, sending CSI feedback at each time stamp for long duration is an overhead in the communication system. We introduce a deep reinforcement learning based channel estimation at receiver end for single user MIMO communication without CSI feedback. In this paper we propose to train the receiver with known pilot signals to analyse the stochastic behaviour of the wireless channel. The simulation on MIMO channel with additive white Gaussian noise (AWGN) shows that our proposed method can learn the different characteristics affecting the channel with limited number of pilot signals. Extensive experiments show that the proposed method was able to outperform the existing state-of-the-art end to end reinforcement learning method. The results demonstrate that the proposed method learns and predicts the stochastic time varying channel characteristic accurately at receiver’s end.
River Water Pollution Monitoring using Multiple Sensor System of WSNs Evizal Abdul Kadir; Hitoshi Irie; Sri Listia Rosa
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1994

Abstract

The river is a natural phenomenon thatcommonly available in the tropical region because of rainintensity. Many peoples and community like to live along theriverside for a few decades ago. The river used by thecommunity for transportation and daily activities uses riverwater. In this research objective to design and develop a newsystem with multiple sensors system to monitor river waterpollution because most of the people use it. Wireless SensorNetworks (WSNs) used in this design and developmentbecause of advantages WSNs system, multiple sensor nodesinstalled for detection of water pollution such as watertemperature, pH, electrical conductivity (EC) and dissolvedoxygen (DO). The system designed to be able to monitorriver water pollution parameters and send the information tothe data center (backend system). Arduino microcontrollerused to process and filtering the data before sending to thebackend system, only valid and valuable information tocollect and keep in the database. Results show system be ableto detect polluted water with indicating parameters andshows in a graph. Based on analysis can be concluded thatpolluted water indicator mostly from residence waste andindustry. Furthermore, WSNs sensors will deploy in somearea then compare the results each other.
Comparison of PIC and SIC with Lattice Reduction cancellation schemes for V-BLAST MIMO system Evgeny Goncharov
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1995

Abstract

This paper discusses the design of the MIMO signal demodulation algorithm built according to the V-BLAST scheme. Several algorithms such as the maximum likelihood algorithm and QR-M algorithm, Minimum of Mean Square Error (MMSE), Successive Interference Cancellation (SIC) with MMSE (SICMMSE), Parallel Interference Cancellation (PIC) with MMSE (PIC-MMSE), Lattice Reduction MMSE (LR-MMSE), as well as modifications of SIC-LR-MMSE, PIC-LR-MMSE are considered. It is shown that the SIC-LR-MMSE and PIC-LR-MMSE algorithms, presented in this paper, having a linear computational complexity depending on the number of antennas and modulation order, provides good performance close to potentially achievable (MLA), which makes its practical use possible. The presented algorithm can be used to improve performance of CDN (Content Delivery Networks) or CMS (Content Management Systems) to transmit content in different distributed content delivery systems.
PID Controller Design for Mobile Robot Using Bat Algorithm with Mutation (BAM) Dwi Pebranti; Luhur Bayuaji; Yogesvaran Arumgam; Indra Riyanto; Muhammad Syafrullah; Nurnajmin Qasrina Ann Ayop
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1996

Abstract

By definition, a mobile robot is a type of robotthat has capability to move in a certain kind of environmentand generally used to accomplish certain tasks with somedegrees of freedom (DoF). Applications of mobile robots coverboth industrial and domestic area. It may help to reduce risk tohuman being and to the environment. Mobile robot is expectedto operate safely where it must stay away from hazards such asobstacles. Therefore, a controller needs to be designed to makethe system robust and adaptive. In this study, PID controller ischosen to control a mobile robot. PID is considered as simpleyet powerful controller for many kind of applications. Indesigning PID, user needs to set appropriate controller gain toachieve a desired performance of the control system, in termsof time response and its steady state error. Here, anoptimization algorithm called Bat Algorithm with Mutation(BAM) is proposed to optimize the value of PID controller gainfor mobile robot. This algorithm is compared with a wellknownoptimization algorithm, Particle Swarm Optimization(PSO). The result shows that BAM has better performancecompared to PSO in term of overshoot percentage and steadystate error. BAM gives 2.29% of overshoot and 2.94% ofsteady state error. Meanwhile, PSO gives 3.07% of overshootand 3.72% of steady state error.
Performance Analysis of Smartphone-based Mobile Wi-Fi Hotspots Operating in a Congested Environment Osama F; Abu-Sharkh Abu-Sharkh
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1997

Abstract

In this work, we address the ubiquity of internet connections in smart cities by analyzing mobile Wi-Fi hotspots in terms of speed and energy efficiency in a congested Wi-Fi environment. We consider state-of-theart consumer smartphones in our work since they are the major devices in establishing mobile Wi-Fi hotspots nowadays. There are two main wireless connections in mobile Wi-Fi hotspots, the cellular connection and the Wi-Fi connection. It has been known that the speed of WiFi connections enormously supersedes the speed of cellular connections with the use of present technologies of each. In this work, we show that this well-known fact becomes controversial when establishing mobile Wi-Fi hotspots using smartphones in a nowadays typical congested Wi-Fi environment.
Efficient PID Controller based Hexapod Wall Following Robot Hendril Satrian Purnama; Tole Sutikno; Nuryono Satya Widodo; Srinivasan Alavandar
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1998

Abstract

This paper presents a design of wall followingbehaviour for hexapod robot based on PID controller. PIDcontroller is proposed here because of its ability to controlmany cases of non-linear systems. In this case, we proposed aPID controller to improve the speed and stability of hexapodrobot movement while following the wall. In this paper, PIDcontroller is used to control the robot legs, by adjusting thevalue of swing angle during forward or backward movement tomaintain the distance between the robot and the wall. Theexperimental result was verified by implementing the proposedcontrol method into actual prototype of hexapod robot.
Robust PID Control Design in CPS-based Batch Distillation Column Wirenda Sekar Ayu; Pranoto Hidaya Rusmin; Egi M. I. Hidayat
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1999

Abstract

Interconnected system between computationand physical process (Cyber-Physical Systems) has been widelyused in industrial processes. In CPS-based industrial process,sensors, controllers, and actuators are connected into acommunication network. The communication network mayintroduce delay time uncertainties due to shared resources andload traffic in the network. Furthermore, the nonlinear timevaryingcharacteristic of batch distillation column may causesanother uncertainties to take into account in control systemdesign. Parameter model and delay process uncertainty isintroduced due to linearized system approximation thatunmodeled high-frequency dynamics. The dynamicuncertainty on both I/O channel are also introduced to thesystem uncertainty. In this paper, robust PI and PID controllerusing AMIGO method with appropriate weighting function isdesigned to guarantee robust stability spesification of batchdistillation column. The impact of system uncertainties toclosed-loop system performances such as peak overshoot andintegral error is investigated. MATLAB/Simulink simulationis used to validate the methods before its implementation inCPS-based batch distillation column. Based on simulation, theproposed robust PI/PID controller can guarantee robuststability of system compared to conventional PID controller.Furthermore, the robust PI/PID controller can improve closedloopsystem performances compared to conventional PID.
Spatial Diversity Impact in Mobile Quantisation Mapping for Cognitive Radio Networks Arief Marwanto; Sharifah Yusof; M Satria
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.2000

Abstract

Mobile environment especially spatial diversity in spectrum exchange information in cognitive radio networks is an interesting topic for further investigation. Most of the cognitive radio researchers does not consider the spatial diversity of sensing nodes. However, the mobility of the SNs within PU’s coverage area is heavily influencing the detection performance on local observation of energy signals. The movement of the SNs creates spatial diversity in the observation of the PU’s signal. Due to the movement, spatial distance, velocity, Doppler Effect and geo-location information, the signals condition would fluctuate during the sensing process. Spatial diversity also reduces the average received signal strength and must be compensated by detection signal method which appropriate with the signal conditions.  Therefore, it is need to find a comprehensive solution to overcome the effects of spatial diversity. Moreover, this research could give a clearly analysis in spectrum exchange information regarding detection performance for cognitive radio networks. Finally, the cooperation overhead due to spatial diversity effects in master node station could reduce and increased the detection performance of PU’s spectrum hole channels.

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