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
Articles
600 Documents
<![CDATA[Sistem Multi-Sensor Nirkabel Berbasis RFID Untuk Pemantauan Keaktifan Siswa ]]>
<![CDATA[Zakiah Zakiah]]>;
<![CDATA[Yuwaldi Away]]>;
<![CDATA[Fitri Arnia]]>;
<![CDATA[Andri Novandri]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 15, No 3 (2019) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v15i3.14107
<![CDATA[This study aims to design a multisensor observation system, develop a microcontroller-based prototype with ESP8266 and RFID modules, and analyze the performance of the prototype. From the testing carried out by tagging each time students do activities, the client tag data will be sent to the server, and the results are displayed PLX-DAQ. With the 50 tag cards that have registered the IDs of each student, it shows that those who attend the schedule will be given the logic "1" (otherwise logic "0"), and attendance data will be obtained by calculating the number of attendance of students in four types of activities in four locations. The data is transmitted to Data-loggers through two configurations, namely Data-logger as the client (indirect), and Data-logger as a server (direct). From the two configurations, it was found that the configuration of Data-logger as a server had a performance of 19.08% better than Data-logger as a client. From the data processing, it was found that the highest activity of students was the interest in the activities of language institutions (95.92%), followed by religious activities (95.83%), teaching and earning activities (93.88%), and reading (79.59 %)]]>
<![CDATA[Penerapan Metode Monte-Carlo untuk Analisis Toleransi Perubahan Nilai Komponen Terhadap Kinerja Osilator Frekuensi 2,3 GHz ]]>
<![CDATA[Teguh Firmansyah]]>;
<![CDATA[Gunawan Wibisono]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 12, No 3 (2016) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v12i3.5564
<![CDATA[In telecommunications equipment, an oscillator has a function to generate a carrier signal. As the carrier signal, a high stability performance is required. The frequency shift caused by component tolerances. In this research, a Monte-Carlo method was used to analyze a component tolerance on the performance of the oscillator at a frequency 2.3 GHz. A simulation was performed by software Advance Design System (ADS). In this research, the iterations were carried out as many as 212 times with tolerance component values by 10%. The analyzed performance consists of a fundamental frequency shift, a phase noise, the value of power fundamental, and a harmonic power. Meanwhile, the oscillator has a structure of bias BJT common base-bias BFR183 with Vcc = 20 V, Vce = 8.2 V and Ic = 15 mA and a dielectric resonator as a resonator. The oscillator has a fundamental frequency 2.3 GHz, phase noise -135.6 dBc / Hz, power fundamental 10.8 dBm, and harmonic power -11.2 dBm. The simulation results showed that the oscillator has a good performance with a high degree of stability on a fundamental frequency by 73%, stability phase noise 100%, stability power fundamental 64%, and stability harmonic power 61%. This simulation has a confidence level of 95.4%, an error ± 3%, and the estimation accuracy 95%.]]>
<![CDATA[Analisa Kegagalan Call pada BTS Flexi di PT TELKOM Kandatel Banda Aceh ]]>
<![CDATA[Hubbul Walidainy]]>;
<![CDATA[Teuku Yuliar Arif]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 9, No 1 (2010) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v9i1.170
<![CDATA[Telkom Flexi merupakan telepon seluler berbasisCDMA (Code Division Multiple Access), produk ini dirancangmampu menghindari gangguan suara dan lemahnya sinyal.Namun sebagai seluler berbasis CDMA pertama di BandaAceh, Telkom Flexi masih harus dihadapi oleh masalahkegagalan komunikasi (call failure). Kegagalan komunikasiini disebabkan oleh beberapa faktor seperti terjadinyablocked call, drop call dan signalling failure. Dari hasil analisadidapat bahwa rata-rata drop call dari bulan Januari hinggaMaret untuk BTS BNAC sebesar 0,95 %, Darussalam 1,62%, Lambaro 1,50 % dan Keutapang 1,34 %. Blocked callrates tertinggi terjadi pada bulan Februari sebesar 0,13 %pada BTS Lambaro. Access failure, drop call, dan signallingfailure terjadi karena kondisi RF yang buruk, hal inidisebabkan antara lain daya terima MS yang rendah hanyamencapai -108 hingga -95 dBm dan FER yang lebih besardari 1 %. Kegagalan call pada BTS Flexi juga disebabkankarena adanya handover failure dan Link failure padahubungan BTS dan BSC.]]>
<![CDATA[Secure MQTT PUF-Based Key Exchange Protocol for Smart Healthcare ]]>
<![CDATA[Rizka Reza Pahlevi]]>;
<![CDATA[Parman Sukarno]]>;
<![CDATA[Bayu Erfianto]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 2 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i2.20428
<![CDATA[Replay and eavesdropping attacks threaten the information security that is held by smart healthcare devices. An authenticated key exchange method to provide cryptography sessions is the best way to provide information security and secure authentication. However, smart healthcare devices do not have sufficient computation to perform heavy cryptography processes due to the limitations of the embedded devices used. We propose an authenticated key exchange protocol based on a physical unclonable function (PUF). The proposed protocol aimed to countermeasure from replay and eavesdropping attacks. We designed our protocol with one handshake process and three authentication processes. We evaluated our proposed protocol using Tamarin Prover. From the results of the evaluation, our proposed protocol can exchange properties correctly between communication actors and is valid in proving each lemma in eavesdropping and replay attacks.]]>
<![CDATA[Pengendalian Kecepatan Gerak Quadcopter Berbasis IMU pada Gerakan Tangan dengan Metode Template Matching ]]>
<![CDATA[Nofria Hanafi]]>;
<![CDATA[Abdul Mu'iz Miftahudin]]>;
<![CDATA[Naufal Ali Akbar C]]>;
<![CDATA[R. Sanggar Dewanto]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 3 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i3.12032
<![CDATA[An aerial vehicle has actuator four brushless DC motors (quadcopter) which is operated using a remote control or automatically. An aerial vehicle commonly called a quadcopter is controlled by using sensor data Inertia Measurement Unit (IMU) especially gyroscope and accelerometer sensor. Motion control is a stick control with sensor data IMU as data input. The motion from the aerial vehicle is a two-dimension (2D) motion from X axis and Y axis. Data sensor IMU is read by a microcontroller and will be processed to get real data acceleration (acceleration without influenced gravitation) remotely. The distance gesture inertia and the speed at which it operates are the parameter that is converted into an air vehicle motion. Trajectory motion is changed into picture domain 10x10 pixel as the comparison with the template matching algorithm. Match motion recognition is a motion command to the quadcopter. The simple motion like vertical, horizontal, diagonal, and curve match 96% using template matching algorithm and trajectory estimation.]]>
<![CDATA[Identifikasi Citra Kualitas Minyak Kelapa Sawit Berbasis Android Menggunakan Algoritma Convolutional Neural Network ]]>
<![CDATA[Deny Haryadi]]>;
<![CDATA[Sasmi Hidayatul Yulianing Tyas]]>;
<![CDATA[Adi Kuncoro]]>;
<![CDATA[Fiqry Firdhan Pratama Putra]]>;
<![CDATA[Andri Ariyanto]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 4 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i4.28617
<![CDATA[The Central Statistics Agency reports that the average development of palm cooking oil consumption at the household level in Indonesia during the 2015-2020 period has increased by 2.32% per year. The use of cooking oil repeatedly is commonplace among the people of Indonesia and quite a lot. Even though the use of cooking oil can endanger health because the frying process at high temperatures can damage the chemical structure of the oil. Therefore, in this study, image processing was carried out to identify the quality of palm oil using the Convolutional Neural Network (CNN) algorithm. This research was conducted through several stages, namely dataset collection, dataset preprocessing, CNN algorithm implementation, testing, and development of information systems. The dataset consists of image data of palm cooking oil that has not been used, palm cooking oil used for frying twice, and palm cooking oil used for frying more than twice. The total amount of data is 3000 image data. Distribution of training data and test data using the Pareto division of 80:20. Based on the test, the best accuracy is 97.08%. This research produces an android-based information system that can identify the quality of cooking oil based on the classification.]]>
<![CDATA[Peningkatan Kinerja MPPT Menggunakan Kontrol PWM Fuzzy dengan Tuning PID ]]>
<![CDATA[Adhi Kusmantoro]]>;
<![CDATA[Margono Margono]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 2 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i2.16220
<![CDATA[Utilization of sunlight using solar panels as power plants began to be developed to reduce the use of fossil fuels. The purpose of this study is to design an MPPT model with PV sources. The PID controller is used to improve MPPT performance in regulating the boost converter, while the PID value is set with fuzzy logic. Research methods include simulation design, hardware, load capacity calculation, and fuzzy logic design. The trial was conducted using an electric load in the house. The results of previous studies, using PID control generated 88.77% efficiency. The results of the study using PID control that is regulated by fuzzy logic produces 95.79% efficiency. This method is also able to improve the output of the boost converter voltage, so that with this method the boost converter output voltage is better when compared to other methods. ]]>
<![CDATA[Algoritma Interpolasi Nearest-Neighbor untuk Pendeteksian Sampul Pulsa Oscilometri Menggunakan Mikrokontroler Berbiaya Rendah ]]>
<![CDATA[Firdaus Firdaus]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 3 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i3.8520
<![CDATA[Non-invasive blood pressure measurement devices are widely available in the marketplace. Most of these devices use the oscillometric principle that store and analyze oscillometric waveforms during cuff deflation to obtain mean arterial pressure, systolic blood pressure and diastolic blood pressure. Those pressure values are determined from the oscillometric waveform envelope. Several methods to detect the envelope of oscillometric pulses utilize a complex algorithm that requires a large capacity memory and certainly difficult to process by a low memory capacity embedded system. A simple nearest-neighbor interpolation method is applied for oscillometric pulse envelope detection in non-invasive blood pressure measurement using microcontroller such ATmega328. The experiment yields 59 seconds average time to process the computation with 3.6% average percent error in blood pressure measurement. ]]>
<![CDATA[Analisa Unjuk Kerja Mobile Based Tranceiver Station untuk Kestabilan Infrastruktur Sistem Komunikasi Seluler ]]>
<![CDATA[Melvi .]]>;
<![CDATA[Ardian Ulvan]]>;
<![CDATA[Ricky Fernando]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 11, No 1 (2014) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v11i1.1988
<![CDATA[The stability of the telecommunications system infrastructure, particularly in the area experienced disastrous, should be restored as soon as possible to recover communication services. One solution for the recovery is by implementing a mobile Base Transceiver Station (BTS), which can be installed easily. In this work, an analysis of Arrow type Combat mobile BTS is conducted in the area of Terbanggi Agung, Central Lampung. The performance measurement and data analysis are performed on the three sectors of the cell coverage. The Received Total Wideband Power (RTWP), Call Completion Success Rate-Packet Switched (CCSR-PS) and Call Completion Success RateCircuit Switched (CCSR-CS) are taken at regular intervals (per hour for 24 hours), based on the standard Key Performance Indicator (KPI) of the International Telecommunication Union (ITU). The results showed that the average value of RTWP on each sector is 105 dB, while the value of CCSR-PS and CCSR-CS are above 95%. Moreover, the measured value of RTWP are less than the standard, which is assumed due to interference from neighbour BTS uplink frequency, despite the possibility of interference was small. In overall, the RTWP values, the CCSR-PS and CCSR-CS meet the standards of the ITU-T Recommendation E.850.Keywords: mobile BTS, received total wideband power (RTWP), call completion success rate- packet switched (CCSRPS), call completion success rate-circuit switched (CCSR-CS)]]>
<![CDATA[Interference Management with Dynamic Resource Allocation Method on Ultra-Dense Networks in Femto-Macrocellular Network ]]>
<![CDATA[Misfa Susanto]]>;
<![CDATA[Sitronella Nurfitriani Hasim]]>;
<![CDATA[Helmy Fitriawan]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 4 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i4.23157
<![CDATA[Ultra-Dense Network (UDN) which is formed from femtocells densely deployed is known as one of key technologies for 5th generation (5G) cellular networks. UDN promises for increased capacity and quality of cellular networks. However, UDN faces more complex interference problems than rarely deployed femtocells, worse on femtocells that are located on cell edge area of macrocell. Therefore, mitigating or reducing effects of interferences is an important issue in UDN. This paper focuses on interference management using dynamic resource allocation for UDN. Types of interference considered in this study are cross-tier (macrocell-to-femtocell) and co-tier (femtocellto-femtocell) interferences for uplink transmission. We consider several scenarios to examine the dynamic resource allocation method for UDN in case of femtocells deployed in the whole area of microcell and in the cell edge area of macrocell. Simulation experiment using MATLAB program has been carried out. The performance parameters that are collected from the simulation are Signal to Interference and Noise Ratio (SINR), throughput, and Bit Error Rate (BER). The obtained simulation results show that system using dynamic resource allocation method outperforms conventional system and the results were consistent for the collected performance parameters. The dynamic resource allocation promises to reduce the effects of interference in UDN.]]>
