JURNAL NASIONAL TEKNIK ELEKTRO
Jurnal Nasional Teknik Elektro (JNTE) adalah jurnal ilmiah peer-reviewed yang diterbitkan oleh Jurusan Teknik Elektro Universitas Andalas dengan versi cetak (p-ISSN:2302-2949) dan versi elektronik (e-ISSN:2407-7267). JNTE terbit dua kali dalam setahun untuk naskah hasil/bagian penelitian yang berkaitan dengan elektrik, elektronik, telekomunikasi dan informatika.
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<![CDATA[Implementation of Template Matching on Detection of Stop Line Violations ]]>
<![CDATA[Larasati, Dwira Kurnia]]>;
<![CDATA[Setyawan, Iwan]]>
<![CDATA[ JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021 ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Universitas Andalas ]]>
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DOI: 10.25077/jnte.v10n3.898.2021
<![CDATA[Road marking is a sign located above the road surface that combines either a line or a symbol and provides information as visual guidance to road users. One example of road marking is the stop line behind the zebra crossing. Many violations of pedestrian rights are committed by motorized vehicles, especially because vehicles do not stop behind the stop line. This paper proposes a system to detect this type of traffic violation using the template matching method. This method is a technique in digital image processing to find small parts of the image that match the image template, so it can detect whether there is a traffic violation or not. This system uses the appropriate template images for each dataset (morning, afternoon, and evening). The system produces accuracy performances for the morning and afternoon dataset of about 100% and 78% respectively, and for the evening dataset is 70%. So, the overall average accuracy rate is 83%. The main factor affecting the overall accuracy performance is the inability to automatically extract the best template for the dataset from the morning and evening datasets.]]>
<![CDATA[Design of Wiper Cleaner Prototype based on IoT for Solar Panels With Rooftop Installation ]]>
<![CDATA[Fitriana, Fitriana]]>;
<![CDATA[Wicaksono, Darma Arif]]>;
<![CDATA[Ariyani, Sofia]]>;
<![CDATA[Nurwahyudin, Rais]]>;
<![CDATA[Ajie, Fahmi Aulia]]>
<![CDATA[ JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021 ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Universitas Andalas ]]>
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DOI: 10.25077/jnte.v10n3.905.2021
<![CDATA[Many factors that affect the efficiency of solar panels, one of which is environmental factors. Among the environmental factors that negatively affect the solar panels performance is the dust accumulation on the top surface of the solar panels. This is because dust will block solar radiation from entering directly into solar cells and can reduce the efficiency of solar panels. In this research, a wiper cleaner prototype has been designed to clean dust on solar panels with a rooftop installation. This wiper cleaner system is made by utilizing servo motor movement and Internet of Things (IoT) technology so that it can be controlled remotely using an android. This wiper cleaner prototype works with a response time of 1 second and a speed of 0.0254 m/s. The wiper cleaner control system via Android can work with a maximum range of 30 meters. In addition, based on research that has been done shows that wiper cleaner can increase the efficiency of solar panels by 8.5%.]]>
<![CDATA[A Fully Automated Car Parking Lot ]]>
<![CDATA[Normanyo, Erwin]]>;
<![CDATA[Husinu, Francis]]>;
<![CDATA[Fiona, Kumi Manel]]>
<![CDATA[ JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021 ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Universitas Andalas ]]>
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DOI: 10.25077/jnte.v10n3.885.2021
<![CDATA[Most car parking lots in the country have not been fully automated and many of them serve temporal, manual parking needs. A fully automated car parking lot assures of flexibility, improved efficiency and minimisation of manual tasks. In this paper, use was made of Siemens Step 7 PLC and WinCC Flexible Advanced software to design a fully automated car parking lot. The number of parking spaces available, the parking space number and position, arrival and departure times of cars and the time spent at the parking space are provided by the design. Simulations of designed system using Simatic PLC SIM confirmed the fulfillment of the design criteria and reliability of the developed flowcharts. Remote operator monitoring and control of the car parking lot has been actualised. Simulation results on the parking of six cars for a time duration of 0.5 hr, 1 hr, 1.5 hrs, 2 hrs, 2.5 hrs and 3 hrs, respectively yielded a total amount of GH¢ 17.00. It stands to reason that hitherto existing manual car parking lots should be converted into the fully automated type using a PLC and an HMI workstation in order to bring orderliness and deserving responsibility to car parking in Ghana.]]>
<![CDATA[Features of Household Solid Waste Object Recognition on Garbage Collector Robot (GACOBOT) ]]>
<![CDATA[Abdurahman]]>;
<![CDATA[Prasetyo, Aditya Putra Perdana]]>;
<![CDATA[Rendyansyah, Rendyansyah]]>;
<![CDATA[Exaudi, Kemahyanto]]>;
<![CDATA[Abdurahman, Abdurahman]]>;
<![CDATA[Septian, Tri Wanda]]>
<![CDATA[ JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021 ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Universitas Andalas ]]>
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DOI: 10.25077/jnte.v10n3.834.2021
<![CDATA[Solid waste or garbage is one of the problems that must be faced by the world's population so that life becomes more harmonious. Through a series of studies, a Garbage Collector Robot (GACOBOT) was created which is expected to help humans overcome this problem in terms of garbage collection. By adding a feature in the form of object recognition, the waste can be sorted by type so that it can be grouped and processed further. In this research, using the Support Vector Machine (SVM) classification method based on the feature extraction of the Histogram of Oriented Gradients (HOG) as the main method. Researchers used 14 pieces of data as training data and 10 pieces of data as test data. From the results of the tests that have been carried out, it has been obtained a success rate of 100% that the system has succeeded in separating waste into 2 types, namely plastic bag waste and glass bottle waste.]]>
<![CDATA[Intelligent System for Fall Prediction Based on Accelerometer and Gyroscope of Fatal Injury in Geriatric ]]>
<![CDATA[Amiroh, Khodijah]]>;
<![CDATA[Rahmawati, Dewi]]>;
<![CDATA[Wicaksono, Ardian Yusuf]]>
<![CDATA[ JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021 ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Universitas Andalas ]]>
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DOI: 10.25077/jnte.v10n3.936.2021
<![CDATA[Methods of prevention and equipment to reduce the risk of falls based on accelerometer and gyroscope sensor have developed rapidly because its operations are cheaper than video cameras. Improved accuracy of detection and fall prediction based on accelerometer and gyroscope sensor is carried out by utilizing Artificial Intelligence (AI) to predict falling patterns. However, the existing fall prediction system is less responsive and also has a low level of accuracy, sensitivity and specificity. The current system does not have a notification system to care givers or doctors in the hospital. To overcome the above problems, this study proposes the development of smart fall prediction system based on accelerometer and gyroscope for the prevention of fractures in geriatric populations (JaPiGi) which are accurate and have high sensitivity and specificity. This study uses Fuzzy Mamdani to recognize movements falling forward, falling sideways, sitting, sleeping, squatting and praying. The total data tested was 100 data from 10 participants. The introduction of this movement is based on 6 input variables from data of accelerometer and gyroscope sensor. To calculate the accuracy, precision, sensitivity and specificity in this study using the equation Receiver Operating Characteristic (ROC). Motion recognition is carried out 3 times with an average accuracy of 90%.]]>
<![CDATA[Calculate The Conductivity of Some Composites of Cellulose Bacteria Mixed with Polypyrol ]]>
<![CDATA[Yunus, Syukri]]>;
<![CDATA[Abrar, Hairul]]>;
<![CDATA[Akbar, Auliya]]>
<![CDATA[ JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021 ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Universitas Andalas ]]>
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DOI: 10.25077/jnte.v10n3.927.2021
<![CDATA[The manufacture of composites that have good electrical properties is to use a conductive polymer matrix. A conductive polymer is a polymer compound that has a stable bond that allows the polymer to act as a good conductor of electricity. This study aims to determine the highest conductivity value of composite materials that have been coated with polypyrrole, namely bacterial cellulose with polypyrrole (bio composite 1), tempo bacteria cellulose with polypyrrole (bio composite 2), and Gambier bacteria cellulose with polypyrrole (bio composite 3). In this study, there were four samples consisting of nata de coco (cellulosic bacteria), 2, 2, 6, 6-tetramethylpiperidine 1-oxyl (TEMPO), Gambier extract, and polypyrrole. Measurement of resistance value using the two point probe method. The results of this study obtained that the resistance and conductivity values of bio composite 1,  bio composite 2, and bio composite 3 were 29.742 kΩ and 1.178×10-3 S/cm, 20.338 kΩ and 1.692×10-3 S/cm, 34,572 kΩ and 0.9807×10-3 S/cm. The measurement results show that the highest conductivity value is bio composite 2.]]>
<![CDATA[Online Tuning Diagnosis of Proportional Integral Derivative Controller based on IEC 61499 Function Blocks ]]>
<![CDATA[Nindyasari, Florentina Vela]]>;
<![CDATA[Wardana, Awang Noor Indra]]>;
<![CDATA[Arif, Agus]]>
<![CDATA[ JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021 ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Universitas Andalas ]]>
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DOI: 10.25077/jnte.v10n3.940.2021
<![CDATA[Controller performance is a crucial aspect of industrial processes; hence, it is critical to maintaining optimal controller performance conditions. Bad controller performance can be caused by poor proportional integral derivative (PID) controller tuning those results in aggressive and sluggish controllers’ behavior. Correct diagnosis of poor controller tuning becomes vital so that it can adequately handle the controller. This study designs several function blocks for online diagnosis of poor PID controller tuning based on the IEC 61499 standard. The design of the function blocks began with design the method used for diagnosing a poor controller tuning. The procedure was based on autocorrelation function (ACF), comparison of signal to noise ratio (SNR) estimation, and idle index. The function blocks were validated with first order plus delay time (FOPDT) processes, which had aggressive, sluggish, or well-tuned behavior. The function blocks were implemented on a Fluid Catalytic Cracking (FCC) plant and industrial data with various process faults to evaluate its capability to diagnose a poor controller tuning. The developed function block can precisely analyze a poor controller tuning on FCC plant and 8 of 10 industrial data. It showed that the function blocks could diagnose a poor controller tuning correctly if the oscillation were regular.]]>
<![CDATA[Electrocardiogram Abnormal Classification Based on Abnormality Signal Feature ]]>
<![CDATA[Purnama, Sevia Indah]]>;
<![CDATA[Afandi, Mas Aly]]>
<![CDATA[ JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021 ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Universitas Andalas ]]>
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DOI: 10.25077/jnte.v10n3.829.2021
<![CDATA[Heart rate abnormalities can lead to many cardiovascular diseases such as heart arrythmia, heart failure, heart valve disease and many more. Some cardiovascular disease can cause death. Abnormalities signal feature can be seen using electrocardiogram. Electrocardiogram is an electric signal record from heart activity. Normal heart and abnormal heart have a different electrocardiogram signal pattern. This research is aim to detect abnormality from heart rate using electrocardiogram abnormality signal feature.  Abnormality signal pattern can be used to classify normal and abnormal heart rate. Abnormality feature consists of P signal condition, R signal condition, P – R interval rate, and double R interval. Electrocardiogram data that used in this study is obtain from MIT-BIH Arrythmia database. 20 electrocardiogram data have been used to see detection and classification performance while classifying normal and abnormal heart rate. Research result shows that feature based has 90.00% in accuracy, 90.00%in precision, and 90.00% in sensitivity while classify normal and abnormal heart rate. Research result can conclude that abnormality feature can be used to classify normal and abnormal heart rate. This method can be used for embedded system device that has limitation in memory and size.]]>
<![CDATA[Microcontroller-based Artificial Lighting to Help Growth the Seedling Pakcoy ]]>
<![CDATA[Afandi, Mas Aly]]>;
<![CDATA[Hikmah, Irmayatul]]>;
<![CDATA[Agustinah, Chandra]]>
<![CDATA[ JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021 ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Universitas Andalas ]]>
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DOI: 10.25077/jnte.v10n3.943.2021
<![CDATA[Improving efficiency and quality in farming activities is important reason of developing technology to support agriculture. Technology in agriculture such as image processing, Internet of Things (IoT), Artificial Intelligence, Big Data, and Artificial Lighting gives increasing trends. Artificial lighting technology has high impact to support agriculture in an area that has low sun light intensity such as in rainy season. Farmer has a difficulty to cultivating plant especially in early stage in rainy season. This problem happen because of the intensity of sun light is very minimum. Artificial lighting is a technology to solve early stage cultivating problem in rainy season. This technology can support agriculture for cultivating plant with minimum sun light. Artificial lighting contains light emitting diode (LED) that is laid out as an array. This research goal is to make an artificial lighting prototype to support early stage cultivating. Pakcoy is a plant that used to observe artificial lighting impact for early stage Pakcoy cultivation. This research shows Pakcoy plant placed in the prototype gives significant growth compared with a plant which placed in low light room. Pakcoy plant in artificial lighting gives 2 – 4 leaves, the height is 1.5 – 5cm, and from 18 seeds 10 is grow. This research can conclude that artificial lighting prototype can support early stage Pakcoy cultivation.]]>
<![CDATA[Electrocardiogram Abnormal Classification Based on Abnormality Signal Feature ]]>
<![CDATA[Sevia Indah Purnama]]>;
<![CDATA[Mas Aly Afandi]]>
<![CDATA[ JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 3: November 2021 ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro Universitas Andalas ]]>
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DOI: 10.25077/jnte.v10n3.829.2021
<![CDATA[Heart rate abnormalities can lead to many cardiovascular diseases such as heart arrythmia, heart failure, heart valve disease and many more. Some cardiovascular disease can cause death. Abnormalities signal feature can be seen using electrocardiogram. Electrocardiogram is an electric signal record from heart activity. Normal heart and abnormal heart have a different electrocardiogram signal pattern. This research is aim to detect abnormality from heart rate using electrocardiogram abnormality signal feature. Abnormality signal pattern can be used to classify normal and abnormal heart rate. Abnormality feature consists of P signal condition, R signal condition, P – R interval rate, and double R interval. Electrocardiogram data that used in this study is obtain from MIT-BIH Arrythmia database. 20 electrocardiogram data have been used to see detection and classification performance while classifying normal and abnormal heart rate. Research result shows that feature based has 90.00% in accuracy, 90.00%in precision, and 90.00% in sensitivity while classify normal and abnormal heart rate. Research result can conclude that abnormality feature can be used to classify normal and abnormal heart rate. This method can be used for embedded system device that has limitation in memory and size.]]>
