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                  <text>VOL. 20, NO. 6 2022</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Monoesters for transformer insulating liquid</text>
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                <text>Chemical properties, Electrical properties, Insulating liquid, Monoester, Physical properties</text>
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                <text>The development of low viscosity insulating liquids derived from natural&#13;
esters is conducted in our laboratory. Nine monoesters, i.e., methyl&#13;
myristate, ethyl myristate, isopropyl myristate, methyl palmitate, ethyl&#13;
palmitate, isopropyl palmitate, methyl stearate, ethyl stearate, and isopropyl stearate were synthesized from alcohols and saturated fatty acids. Treatments were performed to reduce water and acid contents and improve the oxidation stability of the monoesters. Some fundamental properties, such as breakdown voltage, kinematic viscosity, density, water content, acidity, and oxidation stability, were tested before and after treatments. The results are evaluated based on the international electrotehnical commission (IEC) standard specifications for low-viscosity monoesters derived from natural esters, IEC 62770. Except for the water content, all other properties have good compliance with the standard. The treatments reduced the water content significantly, but the values are still slightly higher than that specified by the standard. </text>
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                <text>Abdul Rajab, Melda Latif, Muhammad Imran Hamid, Tesya Uldira Septiyeni</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i6.21870</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>December 2022</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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                  <text>VOL. 20, NO. 6 2022</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Performance analysis and evaluation of distance vector and link state routing protocols over a large area networks </text>
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                <text>EIGRP, IS-IS, Network performance, OPNET, OSPF, RIP</text>
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                <text>Routing protocols are extremely important incredibly significant in data&#13;
communication and computer networks. The high performance, reliability, stability, and security of the networks depend primarily on choosing the best type of dynamic routing protocol. In this paper, we evaluate and investigate the network performance for routing information protocol (RIP), enhanced interior gateway routing protocol (EIGRP), open shortest path first (OSPF), and intermediate system-to-intermediate system (IS-IS) routing protocols with three different scenarios of routes failure using the optimized network engineering tools (OPNET) simulator to determine which of the protocols is the most appropriate and effective in achieving high network performance. The results show that for large area networks, the EIGRP routing protocol&#13;
gives the best network performance when all network routers are  working with no failing, but when some network routers were failing to work and path failure is happening, the IS-IS link-state routing protocol works efficiently and gives the best performance. The obtained results for IS-IS protocol when failing seven routers is as: the hypertext transfer protocol (HTTP) page response time is (247.8 msec), voice delay variation is (4.19 μsec), video delay variation is (8.83 μsec) and ping request and response time is (115 msec). </text>
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                <text>Abdulhameed N. Hameed, Salah Abdulghani Alabady, Mohammad A. Thanoon</text>
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              <elementText elementTextId="47532">
                <text>DOI: 10.12928/TELKOMNIKA.v20i6.22211</text>
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              <elementText elementTextId="47533">
                <text>Universitas Ahmad Dahlan</text>
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                <text>December 2022</text>
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                <text>Sri Wahyuni</text>
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            <description>Information about rights held in and over the resource</description>
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                <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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                  <text>VOL. 20, NO. 6 2022</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Design and develop authentication in electronic payment systems based on IoT and biometric</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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                <text>Biometrics, E-payment system, Fingerprint, Internet of things, M2M connections</text>
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                <text>Biometrics is a highly reliable technology where it has become possible to use the characteristics of a person or user (biometrics) along with traditional passwords, and we can even say that it has become an indispensable complement in modern authentication systems today, especially with regard to bank accounts, banks, financial technology (FinTech) internet of things (IoT) devices and all a process related to money and privacy, and biometric methods are multiple and increasing day by day, the most famous of which is (iris, face chart, palm, fingerprint, and others). Biometric systems are immune and immune from modern electronic attacks, such as plagiarism or electronic theft, because the authentication here takes place when all conditions are met. Then the authentication is done and the process is completed, and the aim is to reach the highest levels of accuracy and security and to make the user more comfortable to deal with these modern systems that provide him with many advantages and high privacy. </text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Ahmed Abdulkarim Talib, Ayman Dawood Salman</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="47518">
                <text>DOI: 10.12928/TELKOMNIKA.v20i6.22157</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>December 2022</text>
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                <text>Sri Wahyuni</text>
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                <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>Internet of Things</name>
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        <name>Jurnal Nasional Informatika</name>
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                  <text>VOL. 20, NO. 6 2022</text>
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LPCNN: convolutional neural network for link prediction based on network structured features</text>
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                <text>Convolutional neural network, Deep learning, Heuristic scores, Social network analysis, Structural information</text>
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                <text>In a social network (SN), link prediction (LP) is the process of estimating&#13;
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techniques were used. Recent state-of-the-art studies, like Wesfeiler-Lehman neural machine (WLNM) and learning from subgraphs, embeddings, and attributes for link prediction (SEAL), have demonstrated that heuristics scores may increase LP model accuracy by employing deep learning and sub-graphing techniques. WLNM and SEAL, on the other hand, have some limitations and perform poorly in some kinds of SNs. The goal of this research is to present a new framework for enhancing the effectiveness of LP models throughout various types of social networks while overcoming the constraints of earlier techniques. We present the link prediction based convolutional neural network (LPCNN) framework, which uses deep learning techniques to examine common neighbors and predict relations. Adapts the LP task into an image classification issue and classifies the links using a convolutional neural network. On 10 various types of real-work networks, tested the suggested LP model and compared its performance to heuristics and state-of-the-art approaches. Results revealed that our model outperforms the other LP benchmark approaches with an average area under curved (AUC) above 99%. </text>
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                <text>Asia Mahdi Naser Alzubaidi, Elham Mohammed Thabit A. Alsaadi</text>
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              <elementText elementTextId="47574">
                <text>DOI: 10.12928/TELKOMNIKA.v20i6.22990</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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              <elementText elementTextId="47578">
                <text>ISSN: 1693-6930</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control </text>
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Effect of distance tip gap on screw electrode of ozone generator: simulation and experimental study</text>
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                <text>Ozone generation using screw-type electrodes with different distance peak to peak was studied, with the view to comparing the effectiveness of the two technologies in improving for high ozone concentration. Current density, heat flux, and distribution electric potential were performed by using simulation software Ansys. These simulations indicate that the screw-type electrode with a distance of 2 mm generates the higher current density, the result is the same as the initial assumption that the screw distance 2 mm will be better than distance 1.5 mm because it has lower heat flux. Experimental work confirms that a screw model with a distance of 2 mm also has high ozone concentration than a distance 1.5 mm screw model due to current&#13;
density making electric field strength also higher to produce high ozone&#13;
concentration, as was also noted by previous authors. </text>
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                <text>Djulil Amri, Syarifa Fitria, Muhammad Irfan Jambak, Rizda Fitria Kurnia, Dwirina Yuniarti, Zainuddin Nawawi</text>
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            <elementTextContainer>
              <elementText elementTextId="47588">
                <text>DOI: 10.12928/TELKOMNIKA.v20i6.23289</text>
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              <elementText elementTextId="47589">
                <text>Universitas Ahmad Dahlan</text>
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              <elementText elementTextId="47591">
                <text>Sri Wahyuni</text>
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          <element elementId="47">
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="47592">
                <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>Ozone generator</name>
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                  <text>VOL. 20, NO. 6 2022</text>
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Semi-circular compact CPW-fed antenna for ultra-wideband applications</text>
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                <text>Antenna design, Coplanar waveguide, Semi-circular, Ultra-wideband</text>
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                <text>This paper presents a simple structure and small size antenna design with dimensions of 43×47 mm2 to perform an ultra-wideband (UWB) frequency range using a semicircular co-planar waveguide (CPW). This antenna has been designed and simulated by the computer simulation technology (CST) microwave studio suit. In this work, we design an ultra-wideband antenna (about 2 GHz to 10 GHz) by feeding a semi-circular compact antenna via a co-planar waveguide for input impedance of 50 Ω. The CST simulation results show that our designed antenna has a very good impedance and radiation characteristic within the intended ultra-wideband. Because of the small size and the suitable shape, this antenna can be used in many wireless communication applications, such as a radio frequency identifier (RFID), indoor wireless local area network or wireless fidelity (WiFi), internet of things (IoT), millimeter waves communications (mmWave), global positioning system (GPS), and many applications of 6G systems. </text>
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              <elementText elementTextId="47713">
                <text>Farhad E. Mahmood, Saad Wasmi Osman Luhaib</text>
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            <elementTextContainer>
              <elementText elementTextId="47714">
                <text>DOI: 10.12928/TELKOMNIKA.v20i6.24229</text>
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            <name>Publisher</name>
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              <elementText elementTextId="47715">
                <text>Universitas Ahmad Dahlan</text>
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              <elementText elementTextId="47717">
                <text>Sri Wahyuni</text>
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            <elementTextContainer>
              <elementText elementTextId="47718">
                <text>ISSN: 1693-6930</text>
              </elementText>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control </text>
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                  <text>VOL. 20, NO. 6 2022</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
An intelligent strabismus detection method based on convolution neural network</text>
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                <text>Convolutional neural networks, IMPA-FACE, Strabismus, Vision disorders</text>
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                <text>Strabismus is one of the widespread vision disorders in which the eyes are misaligned and asymmetric. Convolutional neural networks (CNNs) are properly designed for analyzing images and detecting texture patterns. In this paper, we proposed a system that uses deep learning CNN applications for automatically detecting and classifying strabismus disorder. The proposed system includes two main stages: first, the detection of facial eye segmentation using the viola-jones algorithm. The second stage is to map the segmented eye area according to the iris position of each eye. This method is applied to three strabismus datasets, gathered as digital images. The second section covers the segmentation of the eye region. Besides, the evaluation equations for measuring system performance. The system has undergone numerous experiments in various stages to simulate and analyze the detection performance of CNN layers through different classifiers and variant thresholds ratio. The researchers investigated the experimental outcomes during the training and testing phases and obtained promising&#13;
results that exhibit the effectiveness of the proposed system. According to the results, the accuracy of this technique reached 95.62%. </text>
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                <text>Haider Shamil Hamid, Bassam AlKindy, Amel H. Abbas, Wissam Basim Al-Kendi</text>
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            <elementTextContainer>
              <elementText elementTextId="47756">
                <text>DOI: 10.12928/TELKOMNIKA.v20i6.24232</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="47760">
                <text>ISSN: 1693-6930</text>
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Modified variable neighborhood search algorithm for maximum power point tracking in PV systems under partial shading conditions </text>
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power point. Hence, several algorithms have been developed for this&#13;
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Deep residual neural networks for inverse halftoning</text>
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                <text>This paper presents a simple technique to perform inverse halftoning using the deep learning framework. The proposed method inherits the usability and superiority of deep residual learning to reconstruct the halftone image into the continuous-tone representation. It involves a series of convolution operations and activation function in forms of residual block elements. We investigate the usage of pre-activation function and standard activation function in each residual block. The experimental section validates the proposed method ability to effectively reconstruct the halftone image. This section also exhibits the proposed method superiority in the inverse halftoning task compared to that of the handcrafted feature schemes and former deep learning approaches. The proposed method achieves 30.37 dB and 0.9481 on the average peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) scores, respectively. It gives the improvements around 1.67 dB and 0.0481 for those values compared to the most competing scheme.</text>
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A dynamic S-box generation based on a hybrid method of new chaotic system and DNA computing </text>
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                <text>S-box is one of the most significant structures used to construct encryption that is strong and resistant to attacks in encryption algorithms. The new 4D-hyper chaotic system and deoxyribonucleic acid (DNA) computing are used in this paper to provide a new dynamic S-box generating approach. The 4D generated numbers are processed to generate a hexadecimal number that will encode using the DNA coding method and using addition, subtraction, and exclusive-or operations to produce the final DNA string decoded to make the S-Box. The dynamic form of s-boxes is represented by a minor change in the initial conditions of the proposed chaotic method that will generate dynamic sequences of numbers. The proposed method enhances the security criteria of the block ciphers. The S-box testing criteria were done like strict avalanche, balanced, and bit independence criteria, in addition to differential approximation probability and linearity approximation probability, to test the security of the new S-Box. The results show that the new S-box has good security and is resistant to attacks. </text>
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