Jurnal Rekayasa elektrika
The journal publishes original papers in the field of electrical, computer and informatics engineering which covers, but not limited to, the following scope: Electronics: Electronic Materials, Microelectronic System, Design and Implementation of Application Specific Integrated Circuits (ASIC), VLSI Design, System-on-a-Chip (SoC) and Electronic Instrumentation Using CAD Tools, digital signal & data Processing, , Biomedical Transducers and instrumentation, Medical Imaging Equipment and Techniques, Biomedical Imaging and Image Processing, Biomechanics and Rehabilitation Engineering, Biomaterials and Drug Delivery Systems; Electrical: Electrical Engineering Materials, Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Electric Traction, Electromagnetic Compatibility, High Voltage Insulation Technologies, High Voltage Apparatuses, Lightning Detection and Protection, Power System Analysis, SCADA, Electrical Measurements; Telecommunication: Modulation and Signal Processing for Telecommunication, Information Theory and Coding, Antenna and Wave Propagation, Wireless and Mobile Communications, Radio Communication, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services and Security Network; Control: Optimal, Robust and Adaptive Controls, Non Linear and Stochastic Controls, Modeling and Identification, Robotics, Image Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems, Artificial Intelligent and Expert System, Fuzzy Logic and Neural Network, Complex Adaptive Systems; Computer and Informatics: Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data), Network Traffic Modeling, Performance Modeling, Dependable Computing, High Performance Computing, Computer Security, Human-Machine Interface, Stochastic Systems, Information Theory, Intelligent Systems, IT Governance, Networking Technology, Optical Communication Technology, Next Generation Media, Robotic Instrumentation, Information Search Engine, Multimedia Security, Computer Vision, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Next Network Generation, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems. Signal and System: Detection, estimation and prediction for signals and systems, Pattern recognition and classification, Artificial intelligence and data analytics, Machine learning, Deep learning, Audio and speech signal processing, Image, video, and multimedia signal processing, Sensor signal processing, Biomedical signal processing and systems, Bio-inspired systems, Coding and compression, Cryptography, and information hiding
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<![CDATA[Pengenalan Gestur Jari Menggunakan Pengolahan Citra untuk Mengendalikan Joint pada Base Robot Lengan ]]>
<![CDATA[Ali Rizal Chaidir]]>;
<![CDATA[Wahyu Muldayani]]>;
<![CDATA[Guido Dias Kalandro]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 3 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i3.11831
<![CDATA[The Robot is a technology that can help human to do daily activities. One type of robot is an arm robot, arm robot can work automatically, manually, and a combination of both. Some techniques that can be used to give commands to the robot are to use hand and finger gestures, to do the techniques can utilize the vision machine. One of the advantages of using a vision machine is that it does not require many electronic components to recognize hand and finger gestures. The focus of this research is to implement a camera to recognize the operator’s finger gestures so that the gesture can give commands to the robot. The camera captures the image of operator's finger, the image is a process inside the computer to obtain the pixel coordinate parameters of the index fingertip and right lower pixel of the image, and then the angle obtained from both coordinates using trigonometric equations. The result is that the robot can follow the movement of the finger when the angle between 30° to 150°.]]>
<![CDATA[Implementasi Bat Algorithm dalam Optimasi Penempatan Femtocell ]]>
<![CDATA[Nifty Fath]]>;
<![CDATA[Eka Purwa Laksana]]>;
<![CDATA[Rummi Sirait]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 3 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i3.12150
<![CDATA[Femtocell has been considered as an important technology to increase the cellular system capacity by bringing the base station closer to the user and shrinking the cell dimension. Basically, femtocell networks are deployed in indoor environment such as an office. Thus, femtocell placement problems are one of the important issues in planning the wireless networks, since the manual planning processes are not efficient. In this paper, the solution of femtocell placement problem in an indoor environment is solved by bat algorithm. Selecting the best position of the femtocell is the main objective so the capacity can be maximized. In a 100 trial study, the SNR can be optimized up to 34.89 dB. In conclusion, the bat algorithm is able to improve the SNR efficiently and effectively.]]>
<![CDATA[Robot Keseimbangan Beroda Dua dengan Sistem Kontrol Keseimbangan dan Posisi Menggunakan Metode PID Bertingkat ]]>
<![CDATA[Niam Tamami]]>;
<![CDATA[Ibrahim Muhammad Diin]]>;
<![CDATA[Bambang Sumantri]]>;
<![CDATA[Endra Pitowarno]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 3 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i3.11939
<![CDATA[The two-wheeled balancing robot is a robot that will maintain its balance to stay upright by using two wheels. This robot cannot be stable when the condition is upright and requires a control mechanism when moving. There are at least two control mechanisms in this robot, first is balance control, and the second is position control. The cascade PID method is proposed as a control mechanism, which consists of balance control as primary control and position control (distance and direction) as a secondary control. This method has been applied to robots. Based on the first, second, and third experiment, the best configuration of cascade PID control is PID for the balance control block, PD for distance control, and PD for direction control. By using cascade PID control, the two-wheeled balancing robot has been able to balance itself with oscillations ranging from ± 15.00 degrees when moving and it can move towards the ordered position with the error position from the target. Fourth experiment position error is (0.17, -0.26) and (0.45, -0.43) for the fifth experiment.]]>
<![CDATA[Sistem Minimum Berbasis Mikrokontroler ATmega2560 sebagai Sistem Pengaman pada Analogi Lemari Penyimpanan Brankas ]]>
<![CDATA[Muchammad Takdir Sholehati]]>;
<![CDATA[Arief Goeritno]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 3 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i3.11649
<![CDATA[A minimum system based on ATmega2560 microcontroller has been created that functioned as a safety system in the analogy of the cupboard for storage of the safes. Making the minimum system is done through a number of phases, namely integrating the system, programming against the microcontroller system, and validation test in the form of system performance measurement through giving the forced state. System integration is in the form of installing a device on two lines in the input port and two lines in the output port of the microcontroller. Programming is based on algorithms and the syntax of Arduino IDE-based through 6 (six) stages, namely pins configuration, variable and constants declaration, initialization, main program, retrieved and send data, and output. The validation test is carried out in the form of 4 (four) conditions, namely a) when the RFID module is not detected, b) when the card is detected by the RFID module, c) when the door is opened, and the buzzer is "on", the card is not detected when tagged on the antenna, and d) when the door is forcibly opened, and the buzzer is "on", while the card is detected when tagged on the antenna. Maximizing the security against the door of analogy the cupboard for storage of the safes is detected by the limit switch condition when the door is opened forcefully and the buzzer sounds. For neutralizing conditions for buzzer conditions, it is done through tagging an RFID card through the antenna. The buzzer still sounds, if the blank data is unreadable by the RFID module, while the buzzer can be neutralized if the card was tagged, the data card stored is read by the RFID module.]]>
<![CDATA[Pemantauan Energi Listrik pada Satu kWH-meter Fase Tunggal untuk Empat Kelompok Beban Berbasis Metode Payload Data Handling ]]>
<![CDATA[Suhendri Suhendri]]>;
<![CDATA[Arief Goeritno]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 3 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i3.11952
<![CDATA[A minimum system has been made for monitoring the electric energy in a single phase kWh-meter for four load groups based on the Data Handling Payload (PDH) method. The purpose of this study, namely to obtain an integrated system based on Arduino MEGA2560 R3 microcontroller and measurement of the system performance. Method of obtaining the system is carried out through (i) making boards for sensor modules and relays; (ii) making boards for module of the driving the system; (iii) wiring integration of a number of boards and modules; and (iv) programming against the microcontroller system assisted by the Arduino IDE based on the PDH method. Method of measuring the system performance is carried out through verification and validation tests. Sensors and relays module consist of a voltage sensor, four current sensors, four relays, and a supporting electronic circuit. The integration module of a number of pins is functioned as an integration of all pins associated with pins on the microcontroller system with regard to input and output. Programming the microcontroller system is based on the determination of algorithms and the preparation of syntax. The verification test assisted by the Proteus application is carried out in the form of simulation of the provision of artificial conditions in the form of the value of voltage, current, and the amount of time for the acquisition of energy values. Simulations are carried out on each path of the load group. A verification test is the determination of the linearity of current and voltage values. Based on the validation test, it is obtained the kWh values and the amount of electric energy costs (in rupiah) that are monitored at any time and can be printed every time or monthly.]]>
<![CDATA[Sistem Portable Dashboard Berbasis Android untuk Mobil Listrik ]]>
<![CDATA[Bambang Sumantri]]>;
<![CDATA[Anggita Abimayu]]>;
<![CDATA[Ni’am Tamami]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 3 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i3.11826
<![CDATA[In the development of an electric car, many things should be considered for making it an environmentally friendly vehicle and therefore it is suitable for public use, one of them is the dashboard system. A dashboard is an interface device that connects the driver with the electrical and mechanical systems of the vehicle. In this study a dashboard system was developed to display information about electrical aspects of electric cars. The dashboard system is packaged in an Android-based smartphone that is placed on the steering wheel of the car using Bluetooth transmission. The system that is made is portable and universal on all Android smartphones so that with this system the driver can monitor the electrical condition easily and conveniently. The parameters displayed are battery voltage and capacity, current consumption, BLDC motor rotational speed, motor temperature, battery temperature, car speed and energy consumption. This system creates a reading value for each parameter that corresponds to the ratio of the standardized measuring instrument with an average error of 0.38% for the voltage sensor, 1.06% for the current sensor, 1.21% and 2.98% for the temperature sensor, 0.07% for the speed sensor and the use of the coulomb counting method for reading the state of charge (SoC) value produces an average error of 1.57%. By comparing the value of energy consumption reading with a standard wattmeter, we obtained an average difference of 1.69%.]]>
<![CDATA[Analisis Kinerja Protokol Routing AODV, DSR, dan OLSR pada Mobile Ad hoc Network Berdasarkan Parameter Quality of Service ]]>
<![CDATA[Alamsyah Zakaria]]>;
<![CDATA[Eko Setijadi]]>;
<![CDATA[I Ketut Eddy Purnama]]>;
<![CDATA[Mauridhi Hery Purnomo]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 3 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i3.9798
<![CDATA[MANET is autonomous, self-configured, and applicable to emergency locations such as forest fires, earthquakes, floods, and health monitoring. However, challenges and difficulties faced by the mobile ad-hoc network (MANET) is a dynamically built network system, without the support of infrastructure in communicating between one node and other nodes, and limited energy sources. To overcome MANET problems and to obtain optimal network quality, the selections of routing protocols and quality of service (QoS) are significant in MANET design. This study aims to analyze the performance of routing protocols: dynamic source routing (DSR), ad-hoc on demand distance vector (AODV) and optimized link state routing (OLSR) based on QoS. The analyzed QoS parameters include packet delivery ratio (PDR), packet loss, throughput, and delay. Simulation results using network simulator version based on the number of node densities indicate that OLSR has better performance compared to AODV and DSR regarding PDR, packet loss, throughput, and delay.]]>
<![CDATA[Auskultasi Jarak Jauh untuk Pengukuran dan Perekaman Sinyal Suara Jantung ]]>
<![CDATA[Eka Sari Oktarina]]>;
<![CDATA[Ira Puspasari]]>;
<![CDATA[Jusak Jusak]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 3 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i3.12013
<![CDATA[In 2014, the Sample Registration System (SRS) released a survey showing that heart diseases can be categorized as the second highest non-communicable disease in Indonesia. The percentage is 12.9%. In this work, a tele-auscultation system for heart sound signals was built to transmit the signal over the global Internet networks and store them in a Cloud storage. Thus, the system allows measurement of heart sound signal for the rural area where the presence of expert is very scarce and helps the expert doctors to perform clinical analysis anywhere. Our examination showed that the system exhibited the average transmission delay of 5.68 second and data lost of only less than 1% for transmission of 1 heart sound signal. On the other hand, examination using two heart sound signals transmitted simultaneously showed that it displayed a smaller average of transmission delay. It may be caused by the measurement of the transmission delay as well as data lost that is depended on the traffic in the internet networks. Moreover, correlation of the heart sound signals before and after transmission showed a strong correlation where the correlation value is very close to 1 at, indicating that there is a strong similarity between the two signals.]]>
<![CDATA[Self-Organisation Network (SON) Dengan Mekanisme Load Balancing ]]>
<![CDATA[Ardian Ulvan]]>;
<![CDATA[Melvi Ulvan]]>;
<![CDATA[Robert Bestak]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 3 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i3.9987
<![CDATA[Load balancing is one of the mechanism used in the self-organization network (SON) to balance the traffic at the overloaded base station with the adjacent low-loaded base station. Load balancing is done by adjusting the handover parameters (metric) to obtain the optimal traffic balance. In this work, the adjusted parameters are the capacity of the cell. Cell capacity is strongly influenced by the bandwidth, modulation type, and the bit rate used by the user. The performance of load balancing was tested by a simulation and network test-bed measurement. The testing results on the Long-Term Evolution Advanced network showed the greater the bandwidth the greater the capacity of the cell. Moreover, the larger type of modulation, the cell capacity will also be greater. On the other hand, the greater bit rate used by the user, then the cell capacity will decrease. The calculation analysis of cell capacity is taken as the basic operation for load balancing procedure. A load balancing process algorithm is introduced to describe the mentioned procedure. The algorithm also considers the ping-pong effect that might occur due to the delay on the handover process.]]>
