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Jurnal Rekayasa Elektrika
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Articles 269 Documents
Pengenalan Pola Berbasis OCR untuk Pengambilan Data Bursa Saham M. Dyovan Uidy Okta; Suci Aulia; Burhanuddin Burhanuddin
Jurnal Rekayasa Elektrika Vol 17, No 2 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v17i2.19656

Abstract

The investor must be able to use instinct to evaluate when to sell and buy stocks. This is, of fact, a weakness for inexperienced investors, in addition to the decision's inaccuracy and the time it takes to evaluate a slew of ineffective results. So that, a support system is needed to help the investors make decisions in buying and selling shares. This support system creates an online analysis curve display through text data in the BEI stock price application. The data processing based on pattern recognition will be carried out so that a buying and selling decision can be made to calculate the profit and loss by investors. As the first step of the whole system, this research has built an image-to-text conversion system based on OCR (Optical Character Recognition) that can convert the non-editable text (.jpg) to be editable (.text) online. After obtaining this .text data, the will used the system in further research to analyze stock buying and selling decisions. According to research on eight companies, the OCR-based image to text conversion has a 96.8% accuracy rate. Meanwhile, using Droid serif, Takao PGhotic, and Waree fonts at 12pt font sizes, it has 100 percent accuracy in Libre Office. 
Comparison of Neural Network Methods for Classification of Banana Varieties (Musa paradiasaca) Zilvanhisna Emka Fitri; Wildan Bakti Nugroho; Abdul Madjid; Arizal Mujibtamala Nanda Imron
Jurnal Rekayasa Elektrika Vol 17, No 2 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v17i2.20806

Abstract

Every region in Indonesia has a very large diversity of banana species, but no system records information about the characteristics of banana varieties. The purpose of this research is to make an encyclopedia of banana types that can be used for learning by classifying banana varieties using banana images. This banana variety classification system uses image processing techniques and artificial neural network methods as classification methods.The varieties of bananas used are pisang merah, pisang pisang mas kirana, pisang klutuk, pisang raja and pisang cavendis. The parameters used are color features (Red, Green, and Blue) and shape features (area, perimeter, diameter, and length of fruit). The intelligent system used is the Backpropagation method and the Radial Basis Function Neural Network. The results showed that both methods were able to classify banana varieties with an accuracy rate of 98% for Backpropagation and 100% for the Radial Basis Function Neural Network.
Deteksi Kantuk pada Pengemudi Berdasarkan Penginderaan Wajah Menggunakan PCA dan SVM Nur Ramadhani; Suci Aulia; Efri Suhartono; Sugondo Hadiyoso
Jurnal Rekayasa Elektrika Vol 17, No 2 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v17i2.19884

Abstract

Drowsiness while driving is one of the main causes of traffic accidents it affects the level of focus of the driver. Therefore, we need an automatic drowsiness detection mechanism for the driver to provide a warning or alarm so that an accident can be avoided. In this study, we design and simulate a system to detect drowsiness through the driver’s yawn expression. The acquisition is made by recording the face from two shooting points including the dashboard and front mirrors in the car. From the video recording, then it is taken into several images with a size of 128x82 pixels which are used as training and testing data. This image is then processed using Principal Component Analysis (PCA) for feature extraction and classified using a Support Vector Machine (SVM). From the tests carried out, the system generates the highest accuracy of 98%. This best performance is obtained by SVM with polynomial kernel in the camera position on the dashboard. Meanwhile, based on compression testing, the image that can still meet system requirements is 25% of the original size. It is hoped that the proposed drowsiness detection method in this study can be applied for real-time drowsiness detection in vehicles. 
Desain Prototype Sistem Kendali dan Pelacakan Pada Mesin Boat Rizky Edi Saputra; Suci Aulia; Syahban Rangkuti
Jurnal Rekayasa Elektrika Vol 17, No 2 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v17i2.19900

Abstract

Indonesia is an archipelago country with more than 70% of its territory consisting of water. Due to these geographical conditions, many Indonesian people rely on water transportation as a means of crossing transportation. However, many of the crossings in Indonesia still use a manual control system in determining the direction of the boat. In this study, a prototype control and tracking system designed for a boat engine can be used as an automatic control system (autopilot) in water transportation. This system is created using a waypoint control system that can navigate automatically to a predetermined location. This control system is designed with an electric control system that utilizes a microcontroller, GPS (Global Positioning System) module, and compass module as a navigation control device. From the test results, it can be concluded that the level of accuracy of the GPS coordinates reading is as far as 4.8 meters and based on the test of the waypoint navigation system , the system accuracy level is 10.8 meters.
Penerapan Logika Fuzzy sebagai Alat Deteksi Hipotermia dan Hipertermia Pada Manusia Berbasis Internet Of Thing (Iot) Widya Cahyadi; Ali Rizal Chaidir; Muchammad Farhan Anda
Jurnal Rekayasa Elektrika Vol 17, No 2 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v17i2.15670

Abstract

Health is an important thing for human life. One way to determine a person’s health can be done by examining vital signs (TTV) to find out clinical signs by measuring the most basic body functions. TTV examination is also useful in determining the appropriate medical planning and can be used to strengthen the diagnosis of a disease. Most of the illness or even death related to environmental exposure temperature can be prevented, but often the victim’s decision is wrong, or the patient’s reporting is delayed. Although a person in good health may experience varying degrees of exposure to heat or cold at different times, a person will be relatively at risk for illness and death in extreme environmental temperatures. One solution to overcome this problem is the use of Internet of Thing (IoT)-based hypothermia and hyperthermia detection tools that can detect disease early so that prevention can be done before it becomes more dangerous. The features of this tool are the measurement of body temperature, heart rate, and the detection of hypothermia or hyperthermia.  This study, testing the application of fuzzy logic as a hypothermia and hyperthermia detection tool based on IoT-based body temperature and heart rate. The results of system testing with 10 subjects from instrumentation tools showed the same results as the medical officer’s statement with a 100% success rate.  
Improved Performance of Trash Detection and Human Target Detection Systems using Robot Operating System (ROS) Kisron Kisron; Bima Sena Bayu Dewantara; Hary Oktavianto
Jurnal Rekayasa Elektrika Vol 17, No 2 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v17i2.20805

Abstract

In a visual-based real detection system using computer vision, the most important thing that must be considered is the computation time. In general, a detection system has a heavy algorithm that puts a strain on the performance of a computer system, especially if the computer has to handle two or more different detection processes. This paper presents an effort to improve the performance of the trash detection system and the target partner detection system of a trash bin robot with social interaction capabilities. The trash detection system uses a combination of the Haar Cascade algorithm, Histogram of Oriented Gradient (HOG) and Gray-Level Coocurrence Matrix (GLCM). Meanwhile, the target partner detection system uses a combination of Depth and Histogram of Oriented Gradient (HOG) algorithms. Robotic Operating System (ROS) is used to make each system in separate modules which aim to utilize all available computer system resources while reducing computation time. As a result, the performance obtained by using the ROS platform is a trash detection system capable of running at a speed of 7.003 fps. Meanwhile, the human target detection system is capable of running at a speed of 8,515 fps. In line with the increase in fps, the accuracy also increases to 77%, precision increases to 87,80%, recall increases to 82,75%, and F1-score increases to 85,20% in trash detection, and the human target detection system has also improved accuracy to 81%, %, precision increases to 91,46%, recall increases to 86,20%, and F1-score increases to 88,42%.
Perancangan Alat Ukur Kecepatan dan Arah Angin Ery Safrianti; . Feranita; Hendra Surya
Jurnal Rekayasa Elektrika Vol 9, No 1 (2010)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.872 KB)

Abstract

Rangkaian alat ukur yang diantarmukakan padakomputer pribadi ini, dirancang untuk melakukanpengukuran terhadap kecepatan dan arah angin. Anginyang menerpa cup anemometer akan menggerakkan cup,sehingga poros anemometer yang dikopel dengan motor arussearah berputar dan menghasilkan keluaran berupategangan analog, yang menjadi masukan untuk Analog toDigital Converter (ADC) sehingga didapatkan keluarandalam bentuk digital. Begitu juga pada saat angin mengenaibaling-baling penentu arah angin, akan menggerakkanporosnya sehingga baling-baling berputar, hal ini akanmenyebabkan lempeng lingkaran yang telah dilubangisepanjang 45odan merupakan bagian tembus cahaya, ikutberputar diantara delapan buah sensor optocoupler. Jikabagian yang tembus cahaya terkena cahaya LEDinframerah, maka ada keluaran pada optocoupler, keadaanini dinamakan logika 1. Sebaliknya jika bagian yang tidaktembus cahaya terkena cahaya LED inframerah makakeadaan ini dinamakan logika 0. Setiap output dari sensorsudah mengalami konversi ke bentuk sinyal digital, berupabilangan biner agar dapat dibaca dan diproses olehkomputer melalui antarmuka modul PPI8255. Informasidata masukan tersebut digunakan untuk menetukankecepatan dan arah angin dengan bantuan program VisualBasic, selanjutnya hasil pengukuran ditampilkan pada layarmonitor komputer.
Optimasi Penempatan dan Kapasitas PLTS on grid Pada Sistem Distribusi Radial Menggunakan Metode Algoritma Genetika Multi Konstrain Muammar Zainuddin; Haditsah Annur
Jurnal Rekayasa Elektrika Vol 15, No 1 (2019)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (507.292 KB) | DOI: 10.17529/jre.v15i1.12507

Abstract

The photovoltaic grid-connected business opportunity offers challenges to power quality and voltage fluctuations in the distribution system. The purpose of this study is to optimize the location and power capacity of the grid-connected photovoltaic so that the voltage values are in accordance with the operating standards and meet the requirements of the connection techniques in the distribution system. The distribution system tested is the 69 Buses radial distribution feeder. The optimization uses three constraints namely voltage constraints, active power capacity constraints and total active power capacity constraints of the Grid-Connected Photovoltaic. The Optimization is carried out by considering the value of the percentage of the total active power of the Grid-Connected Photovoltaic capacity to the total load in the distribution system. The optimization results in the first simulation indicated seven grid locations with a total active power of 1.156 MW (38% PV) and produced a fitness value of 0.029. The second Simulation showed 7 locations with a total active power of 1.243 MW (41% PV) and produced a fitness value of 0.023. The Third simulation was identified with 11 locations with a total active power of 1.385 MW (46% PV) and produced a fitness value of 0.022. The best fitness value is the lowest value of the active power losses. The entry of a number of the Grid-Connected Photovoltaic System with distributed location can increase the voltage level in the distribution system.
Potensi Energi Listrik Pada Gas Buang Sepeda Motor Melda Latif; Nuri Hayati; Uyung Gatot S Dinata
Jurnal Rekayasa Elektrika Vol 11, No 5 (2015)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (916.887 KB) | DOI: 10.17529/jre.v11i5.2957

Abstract

The fossil energy sources dwindling due to the many needs, especially in industrial and automotive sectors which are the largest energy users and the highest waste heat-producing. This causes many alternative energy sources are developing, included thermal energy utilization. The research utilized waste heat energy from motorcycle exhaust pipe into electrical energy with using Thermo Electric Generator (TEG). By using the thermocouple principle, difference of temperature between hot and cold side of TEG resulted voltage. Testing was conducted with three points are on head, body and mouth of the exhaust pipe. The maximum output voltage is generated in the head is greater than the other positions. At the head of exhaust, the maximum output voltage which is generated by 1 modul, 2 modules and 3 modules of TEG on each other is 1.26 V, 2.27 V and 3.43 V respectively.
Analisis Propagasi Gelombang Radio Menggunakan DLink 624 pada Jurusan Teknik Elektro Universitas Syiah Kuala . Syahrial; Hubbul Walidaini; . Mulyadi
Jurnal Rekayasa Elektrika Vol 10, No 2 (2012)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.751 KB) | DOI: 10.17529/jre.v10i2.142

Abstract

Telecommunication technology nowadays tries to implement Personal Communication System (PCS) which has Personal Mobility (PM) and Terminal Mobility (TM). PCS can be define as radio technology that uses Radio Frequency (RF) as a transmission medium, which is small and light, and can be implemented indoor and outdoor. One equipment that implements this technology is called D-Link. The application of D-Link is to communicate among users either indoor or outdoor. Research methodology includes deciding the parameters and calculating the path loss between base station and portable station at the second floor of Electrical Engineering Department Syiah Kuala University. The final result was that the communication between the base station and portable station in the rooms at the second floor could exist but the process is rather slow and can experience discontinuity. Those were happenbecause the receiver’s power was below the threshold of the portable station level, i.e.. -40 dB.

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