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Jurnal Rekayasa elektrika

JRE
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Published by Universitas Syiah Kuala

ISSN : 14124785 EISSN : 2252620X DOI : https://doi.org/10.17529/hre.v19i1.15128

Core Subject : Science, Engineering,

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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

Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro

Articles 16 Documents

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Search results for , issue "Vol 18, No 1 (2022)" : 16 Documents clear

Robot Beroda Pendeteksi Gas Karbon Monoksida dan Metana Berbasis IoT Menggunakan Metode Finite State Machine dan Fuzzy Logic Wira Adi Winata; Khairul Anam; Ali Rizal Chaidir
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Occupational Safety and Health (K3) is an important requirement needed in mining. This is because activities in mining have great risks and are associated with unpredictable natural conditions. One of them is the leakage of hazardous gas at the mine site caused by mining activities. This article proposes a wheeled robot to detect carbon monoxide gas and methane gas based on the Internet of Things (IoT) using Finite State Machine (FSM) and Fuzzy Logic. The finite state machine (FSM) in this study is used as a control of the robot’s movement, while fuzzy logic is used as a safety classification of the readable state of dangerous gases. The results showed that the system was capable of detecting gas and the information is successfully sent to a web server. In addition, the use of lidar can detect obstacles around the robot.

Embedded Device pada Smarthome System Berbasis IoT untuk Pengoperasian Pintu Gerbang Terkendali melalui Smartphone Ahmad Fauji; Arief Goeritno; Lucky Hardian; Bayu Arief Prakoso
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

This research was motivated by a number of shortcomings in previous similar studies, mainly related to the selection of sensors, the selection of application for operation, and the absence of backup power in the system, so that manufacturing and development were carried out for the acquisition of an embedded device as a control unit. The availability of this control unit is part of the smart-home system based on the Internet of Things (IoT) for gateway controllers, via smartphones with a one-time password mechanism. The research objectives include (i) the manufacture of control units and programming based on Arduino IDE and (ii) verification and validation tests. The realization of the control unit is carried out through assembling a number of electronic devices, making motherboards, re-functionalizing of the miniature gates, and integrated wiring equipped with embedded programs. The performance of the control unit is measured by providing verification tests in the form of simulations based on the Proteus application and validation tests assisted by the Telegram Bot application when conditions are given to the gate when it is opened, closed, or the lock is in a lock/unlocked state. The performance of the control unit developed, in the form of increasing the speed of the gate opening and closing process, implementing one-time passwords for operating security, and the availability of internal backup power. Recommendations for further research, more emphasis is placed on the creation of various control units that are integrated into the smart-home system platform.

Pengukuran Nilai Densitas pada Minyak Pelumas Sepeda Motor dengan Gelombang Ultrasonik Ahmad Fauzi Firmansyah; Agus Indra Gunawan; Indra Adji Sulistijono; Denny Hanurawan
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Density is a measure of the mass of each unit volume of an object, the higher the density of an object, the greater the mass of each volume. The density value can be used to distinguish the characteristics of lubricating oils that are prone to contamination with solid or liquid particles. The density value is also affected by changes in temperature, the higher the temperature of the lubricating oil, the smaller the density value. The regulations in force in Indonesia with the ASTM D1298-12b standard density test method state that the measurement uses a temperature of 15℃. In this study, the density measurement value was obtained at a temperature of 28℃ so it required a value conversion using the ASTM 53B table about the density correction factor. The technique of testing the material without damaging the test object using an ultrasonic sensor is used to measure the density value of motorcycle lubricating oil. Measurements are made by transmitting a 3 MHz ultrasonic trigger signal that can penetrate each medium with different characteristics. The received echo signal produces information about the distance between the medium, the speed of sound, and the acoustic impedance. The results of the measurement of 11 samples of motorcycle lubricating oil both in new and used conditions using the acoustic impedance method resulted in an accuracy of 93,6% or 0,058 kg/dm3 when compared to the value measured using a pycnometer. The MPX-2-C sample measurement showed the lowest error of 0,41% or 0,004 kg/dm3.

Rancang Bangun Alat Pengukur Jarak Tempuh Lari Laun Menggunakan Sensor Inertial Measurement Unit (IMU) Berbasis Mikrokontroler Yunidar Yunidar; Yazid Yaskur; Roslidar Roslidar; Mohd. Syaryadhi
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Jogging is a form of trotting or running at a slow or leisurely pace. So far, the measurement of running distance is determined by wearables Global Positioning System (GPS) and pedometers. The use of wearables with GPS commonly used by joggers cannot be used in indoor conditions. In addition, the use of a pedometer for measuring the number of steps cannot calculate the specific distance due to the inconsistency of human footsteps. This study aims to design a device to measure the distance traveled in jogging. To measure the distance traveled in a run, an Inertial Measurement Unit (IMU) sensor can be used with a linear acceleration output then reduce the measurement noise by using a Kalman Filter. The acceleration signal is processed into a velocity signal and the velocity signal is processed into a distance signal through integration. From the results of the prototype design, it is able to measure a distance of 25m with an error of 0.78%, a distance of 50m with 0.53% and a distance of 75m with 0.22%.

Fine Tuning CNN Pre-trained Model Based on Thermal Imaging for Obesity Early Detection Hendrik Leo; Fitri Arnia; Khairul Munadi
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Obesity is a complex disease that causes serious impact health, such as diabetes mellitus, cardiovascular disease, cancer, and stroke. An early obesity diagnosis/ detection method is required to prevent the increasing number of obese people. This study aims to: (i) fine-tune the pre-trained Convolutional Neural Network (CNN) models to build an early detection of obesity and (ii) evaluate the model performance in terms of classifying performance, computation speed, and learning performance. The thermal images acquisition procedure was conducted with 18 normal subjects and 15 obese subjects to build a thermal images dataset of obesity. Pre-trained CNN models: VGG19, MobileNet, ResNet152V, and DenseNet201 were modified and trained using the acquired dataset as the input. The training results show that the DenseNet201 model outperformed other models regarding classifying accuracy: 83.33 % and learning performances. At the same time, the MobileNet model outperformed other models in terms of computation speed with training elapsed time: 12 seconds/epoch. The proposed DenseNet201 model was suitable for implementation as an early screening system of obesity for health workers or physicians. Meanwhile, the proposed MobileNet model was suitable for mobile applications' early detection/diagnosis of obesity.

Breast Cancer Detection in Mammography Image using Convolutional Neural Network Farrel Fahrozi; Sugondo Hadiyoso; Yuli Sun Hariyani
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Breast cancer is one of the non-contagious diseases that tends to increase every year. This disease occurs almost entirely in women, but can also occur in men. One way to detect this disease is by observing mammography images. However, mammography images often tend to be blurry with low quality so that it is possible to detect them incorrectly. Therefore, in this study, automatic classification of breast cancer on mammographic images was carried out using the Convolutional Neural Network (CNN). This proposed system uses the VGG16 architecture with a transfer learning system. The proposed system is then optimized using Adam optimizers and RMSprop optimizers. The results of system testing for normal, benign, and malignant classifications obtained an accuracy value of 80% - 90% with the highest accuracy achieved using Adam's optimizers. With this proposed system, it is hoped that it can help in the clinical diagnosis of breast cancer.

Mangosteen Flesh Condition Detector Based on Microwave Non-destructive Technique Using Spiral Resonator Sensor’s Cahyo Mustiko Okta Muvianto; Muhammad Afrizal G. Rasyda; Suthami Ariessaputra; Kurniawan Yuniarto; Sudi Mariyanto Al Sasongko; Budi Darmawan; Syafaruddin Ch
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

The mangosteen fruit has a characteristic thick skin, so it is difficult to know the condition of the flesh. Farmer can only know damage to the fruit flesh after the fruit skin had opened. Detection of the quality of the mangosteen flesh can be detected using a sensor capable of penetrating the thickness of the mangosteen rind. Flesh quality detection is carried out based on the S21 value (attenuation of mangosteen flesh value) using a portable device equipped with a sensor and capable of emitting microwaves. The S21 value of the fruit's flesh was measured using a spiral resonator that functioned as a sensor. The prototype device consists of an oscillator circuit, a power splitter, and a phase detector with 2507 MHz. Fruit flesh had divided into two conditions: damaged for fruit flesh with yellow sap or Translucent Flesh Disorder, and suitable condition for clean fruit flesh. The results showed that the fruit flesh had an average S21 value of 7.041 dB for damaged flesh and 6.007 dB for good flesh condition. The difference in the value of S21 had used as a reference for detecting the shape of the fruit flesh, with the detection threshold calculated by the Support Vector Machine, resulting in a threshold value of 6.712 dB.

Analisis Perbandingan Kinerja Sensor Jarak HC-SR04 dan GP2Y0A21YK Dengan Menggunakan Thingspeak dan Wireshark Iman Hedi Santoso; Arif Indra Irawan
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Until now, Internet of Things (IoT) is a very interesting topic to research. This is due to the wide role that IoT can play in human life. This study aims to compare the performance of two sensors in an IoT-based distance detection system with the focus of the parameters being tested: sensor readings, Qos of data transmission, and power requirements. The two sensors that are the subject of comparison are HC-SR04 and GP2YA21YK. As an analytical tool, this research uses two tools, namely Thingspeak and Wireshak. The performance test results show that in terms of accuracy in determining distance, the HC-SR04 has a much better performance than the GP2YA21YK. On HC SR04, the average reading error is 0.82 cm, while on GP2YA21YK it is 14.40 cm. Meanwhile, in terms of QoS parameters, the two sensor systems show almost commensurate performance, the packet loss is both 0%, the throughput value is 37.01 kbps on HC-SR04 and 38.12 kbps on GP2YA21YK. As for the delay, the HC-SR04 sensor gives a value of 33.55 ms, and on GP2YA21YK it is 26.1 ms. Furthermore, based on power requirements, sensor systems using the HC-SR04 consume 14.36% less power than the system that use GP2YA21YK. By referring to the results of measurements and visualizations using Wireshark and Thingspeak, it can be concluded that the distance detection system using the HC-SR04 sensor is better than the system with the GP2YA21YK.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v18i1.23359

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v18i1.24485

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Elizar

Contact Email
jre@unsyiah.ac.id

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+62651-7554336

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Jurusan Teknik Elektro dan Komputer Gedung A2 Lt. 2 Fakultas Teknik Jalan Syech Abdul Rauf no. 7 Kopelma Darussalam 23111

Location
Kab. aceh besar,

Aceh

INDONESIA

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Elizar

Contact Email jre@unsyiah.ac.id

Phone +62651-7554336

Journal Mail Official jre@unsyiah.ac.id

Editorial Address Jurusan Teknik Elektro dan Komputer Gedung A2 Lt. 2 Fakultas Teknik Jalan Syech Abdul Rauf no. 7 Kopelma Darussalam 23111

Location Kab. aceh besar, Aceh INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

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Abstract

Contact Name
Elizar

Contact Email
jre@unsyiah.ac.id

Phone
+62651-7554336

Journal Mail Official
jre@unsyiah.ac.id

Editorial Address
Jurusan Teknik Elektro dan Komputer Gedung A2 Lt. 2 Fakultas Teknik Jalan Syech Abdul Rauf no. 7 Kopelma Darussalam 23111

Location
Kab. aceh besar,

Aceh

INDONESIA