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                  <text>VOL. 18, NO. 3 2020</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control&#13;
Design of high gain dual T-shaped stub antenna for satellite communication</text>
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                <text>5G Communications, Band width, Dual T-shaped stub, High directivity, High gain, Satellite applications</text>
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                <text>The ultra wide band (UWB) antennas play a vital role in supporting different wireless standards and are suitable for wide variety of applications. This paper is aimed to present a novel UWB dual notch microstrip antenna with modified ground plane. The antenna is designed to operate in UWB ranging from 2 GHz to 12 GHz with multi band operation. This will help in operating the antenna for different operations independently. The proposed structure will operate in two notch bands 3.3-4 GHz (Wi-MAX), 5.05-5.9 GHz (WLAN) and the structure is suitable for long distance communications because of its increased directivity. The structure can also be used for X-Band applications for various applications of traffic control, weather forecasting and vehicle speed detection systems. It is observed that, the&#13;
proposed structure is offering a gain of 5.2 dBi with improved directivity&#13;
with a beam width of 42.230 . This makes the antenna structure suitable for long distance satellite communications. The antenna is supporting the circular polarization at higher the frequencies and can be useful for the upcoming 5G mobile applications. Moreover, the proposed structure offers the less interference at the receiver. The structure is found to be smaller in dimensions, easily fabricated at low costs and can be integrated into any compact wireless devices. The structure is simulated using a commercially available software Ansys-HFSS and is analyzed.</text>
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                <text>A. Pramod Kumar, D. M. K. Chiatanya, D. Venkatachari</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i3.14992</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>June 2020</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control </text>
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        <name>High gain</name>
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        <name>Satellite applications</name>
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                  <text>VOL. 18, NO. 3 2020</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control&#13;
 Area calculation based on GADM geographic information system database</text>
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                <text>Global administrative area, The circle approach method, The Karney’s polygon method</text>
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                <text>This paper aims to provide an overview of the calculation of the area&#13;
of Indonesia based on the boundaries of sub-district/village, district,&#13;
regency/city. The circle approach method is proposed as a fast method for determining the land area of Indonesia. The total area of Indonesia can be obtained by adding up to 33 provinces or 502 regencies/cities or&#13;
6696 districts or 77474 sub-districts. Calculation of the area of the area using district boundaries is better used in the calculation of the area of Indonesia which is obtained 1,965,443.51 km2 . The results obtained are 2.53% bigger than the reference area. </text>
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                <text>Adi Setiawan, Eko Sediyono</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i3.14901</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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                  <text>VOL. 18, NO. 3 2020</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Chaos synchronization in a 6-D hyperchaotic system with self-excited attractor</text>
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                <text>6-D hyperchaotic system, Chaos synchronization, Lyapunov stability theory, Nonlinear control strategy, Self-excited attractor</text>
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                <text>This paper presented stability application for chaos synchronization using a 6-D hyperchaotic system of different controllers and two tools: Lyapunov stability theory and Linearization methods. Synchronization methods based on nonlinear control strategy is used. The selecting controller's methods have been modified by applying complete synchronization. The Linearization methods can achieve convergence according to the of complete synchronization. Numerical simulations are carried out by using MATLAB to validate the effectiveness of the analytical technique. </text>
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                <text>Ahmed S. Al-Obeidi, Saad Fawzi Al-Azzawi</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i3.13672</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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            <elementTextContainer>
              <elementText elementTextId="39561">
                <text>ISSN: 1693-6930</text>
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                <text>http://journal.uad.ac.id/index.php/TELKOMNIKA</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control </text>
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        <name>Chaos synchronization</name>
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                  <text>VOL. 18, NO. 3 2020</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Vision: a web service for face recognition using convolutional network</text>
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                <text>Computer vision, Convolutional neural network, Face recognition, Web service</text>
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            <description>An account of the resource</description>
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                <text>This paper proposes a face recognition module built as a web service.&#13;
We introduce a novel design and mechanism for face recognition on a web platform and to memorize most recent users for the user. This web service is called Vision and developed using the Flask and TensorFlow deep learning framework. The face recognition process is powered by FaceNet deep convolutional network model. The face recognition process done by Vision could also be utilized for user authentication and user memorization, both done in on a web platform. As a demonstration of concept and viability, in this study, Vision is integrated into a web-based voice chatbot. The testing and evaluation of Vision’s face recognition process show an overall F-score of one for all test scenarios. </text>
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                <text>Innovative tactics are employed by terrorists to conceal weapons and&#13;
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                <text>A brain tumor is one of a deadly disease that needs high accuracy in its&#13;
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Web-app realization of Shor’s quantum factoring algorithm and Grover’s quantum search algorithm </text>
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Band-pass filter based on complementary split ring resonator</text>
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                <text>This letter presents a new circuit of the band-pass filter designed by using microstrip technology. Based on complementary split ring resonator and various series of optimization technic and a specific design method, a miniature band-pass filter with excellent electrical performances is achieved. First of all, the metamaterial unit cell is studied to obtain a desired resonant frequency and it is implemented in the ground plan in order to increase the characteristics of the bandpass behavior and decrease its operating frequencies. This proposed circuit is designed on an FR-4 substrate having a relative permittivity of 4.4 tangential losses of 0.025 and thickness of 1.6 mm. This filter is developed by using CST Microwave. The obtained features allow this filter to be used in diverse wireless applications such as IMT-E and WiMax. </text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i3.13929</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control </text>
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The impact of noise on detecting the arrival angle using the root-WSF algorithm </text>
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                <text>This article discusses three standards of Wi-Fi: traditional, current and&#13;
next-generation Wi-Fi. These standards have been tested for their ability to detect the arrival angle of a noisy system. In this study, we chose to work with an intelligent system whose noise becomes more and more important to detect the desired angle of arrival. However, the use of the weighted subspace fitting (WSF) algorithm was able to detect all angles even for the 5th generation Wi-Fi without any problem, and therefore proved its robustness against noise. </text>
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                <text>Btissam Boustani, Abdennaceur Baghdad, Aicha Sahel, Abdelhakim Ballouk, Abdelmajid Badri</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i3.14055</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
An improvement of Gram-negative bacteria identification using convolutional neural network with fine tuning </text>
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                <text>Gram-negative bacteria, Graphics processing unit, Shape features, The VGG-16 convolutional neural network</text>
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                <text>This paper proposes an image processing approach to identify Gram-negative bacteria. Gram-negative bacteria are one of the bacteria that cause lung lobe damage-bacterial samples obtained through smears of the patient's sputum. The first step bacterium should pass the pathogen test process. After that, it bred using Mc Conkey's media. The problem faced is that the process of identifying bacterial objects is still done manually under a fluorescence microscope The contributions offered from this research are focused on observing bacterial morphology for the operation of selecting shape features. The proposed method is a convolutional neural network with fine-tuning. In the stages of the  process, a convolutional neural network of the VGG-16 architecture used dropout, data augmentation, and fine-tuning stages. The main goal of the current research was to determine the method selection is to get a high degree of accuracy. This research uses a total sample of 2520 images from 2 different classes. The amount of data used at each stage of training, testing, and validation is 840 images with dimensions of 256x256 pixels, a resolution of 96 points per inch, and a depth of 24 bits. The accuracy of the results obtained at the training stage is 99.20%. </text>
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                <text>Budi Dwi Satoto, Imam Utoyo, Riries Rulaningtyas, Eko Budi Khoendori</text>
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              <elementText elementTextId="40536">
                <text>DOI: 10.12928/TELKOMNIKA.v18i3.14890</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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