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                  <text>VOL. 18, NO. 5 2020</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Development of video-based emotion recognition using deep learning with Google Colab</text>
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                <text>Convolutional neural networks, Deep learning, Emotion recognition, Google Colab, Machine learning</text>
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                <text>Emotion recognition using images, videos, or speech as input is considered as a hot topic in the field of research over some years. With the introduction of deep learning techniques, e.g., convolutional neural networks (CNN), applied in emotion recognition, has produced promising results. Human facial expressions are considered as critical components in understanding one's emotions. This paper sheds light on recognizing the emotions using deep learning techniques from the videos. The methodology of the recognition process, along with its description, is provided in this paper. Some of the video-based datasets used in many scholarly works are also examined. Results obtained from different emotion recognition models are presented along with their performance parameters. An experiment was carried out on the fer2013 dataset in Google Colab for depression detection, which came out to be 97% accurate on the training set and 57.4% accurate on the testing set. </text>
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                <text>Teddy Surya Gunawan, Arselan Ashraf, Bob Subhan Riza, Edy Victor Haryanto, Rika Rosnelly, Mira Kartiwi, Zuriati Janin</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i5.16717</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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Development of control system for quadrotor unmanned aerial vehicle using LoRa wireless and GPS tracking </text>
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                <text>GPS, LoRa, PID controller, Quadrotor UAV, Telemetry data</text>
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                <text>In the past decades, there has been a growing interest in unmanned aerial vehicles (UAVs) for educational, research, business, and military purposes. The most critical data for a flight system is the telemetry data from the GPS and wireless transmitter and also from the gyroscope and accelerometer. The objective of this paper is to develop a control system for UAV using long-range wireless communication and GPS. First, Matlab simulation was conducted to obtain an optimum PID gains controller. Then LoRa wireless was evaluated during clear and rainy days. Static and dynamic points measurement was conducted to validate and optimize GPS accuracy. GeoMapping in Matlab and Google GPS GeoPlanner were then used to analyze the traveled UAV flight path. </text>
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                <text>Teddy Surya Gunawan, Wan Atheerah Yahya, Erwin Sulaeman, Mira Kartiwi, Zuriati Janin</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i5.16716</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. 5 2020</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Mobile learning architecture using fog computing and adaptive data streaming</text>
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                <text>CNN, Data streaming, Deep learning, Mobile learning</text>
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                <text>With the huge development in mobile and network fields, sensor&#13;
technologies and fog computing help the students for more effective learning, flexible and in and effective manner from anywhere. Using the mobile device for learn encourage the transition to mobile computing (cloud and fog computing) which is led to the ability to design customized system that help student to learn via context aware learning which can be done by set the user preference and use proper methods to show only related manner subject. The presented study works on developing a system of e-learning which has been on the basis of fog computing concepts with deep learning approaches utilized for classification to the data content for accomplishing the context aware learning and use the adaptation of video quality using special equation&#13;
and the data encrypted and decrypted using 3DES algorithm to ensure&#13;
the security side of the operation. </text>
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                <text>Shymaa Mohammed Jameel, Muayad Sadik Croock</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i5.16712</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;
Analysis of LTE physical channels overhead</text>
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                <text>LTE, MIMO, PBCH, PDCCH, PDSCH, PSS, SSS</text>
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                <text>LTE Network is the common mobile technology these days around the world and all service providers seek to how improve the network capacity and deliver the best performance in terms of delivered data rates and coverage area. LTE network consists of many protocols that work together to establish network connectivity, these protocols add variable headers that contains many control information that the network needs to operate. At the same time these headers decrease the effective capacity of the network, so there is a need to optimize the overhead size that used in various channels. The study will illustrate the different overheads that effect on the network capacity and investigate&#13;
the effect of different values on achieving the best network capacity. </text>
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                <text>Haider Mohammed Turki Al-Hilfi</text>
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Abnormal activity detection in surveillance video scenes</text>
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                <text>Automated detection of abnormal activity assumes a significant task in&#13;
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                <text>Jwan Jamal Ali, Narjis Mezaal Shati, Methaq Talib Gaata</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i5.16634</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 efficient interleaving of digital-video-broadcasting-satellite 2nd generations system</text>
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                <text>16-APSK, 32-APSK, BCH, BER, FEC, Interleaver, LDPC, QPSK, SNR</text>
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                <text>The DVB-S2 system is designed as a toolbox to permit the execution of&#13;
the satellite programs. Interleaver is an essential part of the DVB-S2&#13;
system. The current general block interleaver in DVB-S2 is not best, which leads to high BER and maybe not satisfy the requirements of the system. The purpose of this paper is to study the several interleaver types and comparative analyses are done between them to find which of these give better performance. Simulations results obtained prove that the 2D interleavers minimize BER more than other interleavers of DVB-S2. Further, the performance of 2D interleaver is better on a system that required a low SNR. </text>
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                <text>Mohammed Jabbar Mohammed Ameen, Hussam Jawad Kadhim</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i5.16295</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. 5 2020</text>
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Assessment of Landsat 8 TIRS data capability for the preliminary study of geothermal energy resources &#13;
in West Sumatration, Computing, Electronics and Control </text>
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                <text>DEM SRTM, Geothermal energy, Landsat-8 TIRS, LST, Remote sensing, West Sumatra</text>
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                <text>West Sumatra is one of has big geothermal energy resources potential. Remote sensing technology can have a role in geothermal exploration activity to measure the distribution of land surface temperatures (LST) and predict the geothermal potential area. Main study to obtain the assessment of Landsat 8 TIRS (Landsat`s Thermal Infrared Sensor) data capability for geothermal energy resources estimation. Mono-window algorithms were used to generate the LST maps. Data set was combined with a digital elevation model (DEM) to identify the potential geothermal energy based on the variation in surface temperature. The result that were derived from LST map of West Sumatra shows that ranged from -8.6 C0 to 32.59 C0 and the different temperatures are represented by a graduated pink to brown shading. A calculated result clearly identifies the hot areas in the dataset, which are brown in colour images. Lima Puluh Kota, Tanah Datar, Solok, and South Solok areas showed the high-temperature value (Brown) in the range of 28.1 C0&#13;
to 32.59 C0 color in images which means that they possess high&#13;
potential for generating thermal energy. In contrast, the temperatures were lower (Pink) in the north-eastern areas and the range distribution was from -8.5 C0 to 5 C0 </text>
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                <text>Yuhendra,  Joshapat Tetuko Sri Sumantyo</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i5.16172</text>
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              <elementText elementTextId="43271">
                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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A rigorous user needs experience evaluation method based on software quality standards </text>
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                <text>Our lives, nowadays, are digital. We, as humans, are using software&#13;
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                <text>Mohammad Zarour</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i5.16061</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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Investigation and design of ion-implanted MOSFET based on (18 nm) channel length</text>
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                <text>The aim of this study is to invistgate the characteristics of Si-MOSFET with 18 nm length of ion implemented channel. Technology computer aided design (TCAD) tool from Silvaco was used to simulate the MOSFET’s designed structure in this research. The results indicate that the MOSFET with 18 nm channel length has cut-off frequency of 548 GHz and transconductance of 967 μS, which are the most important factors in calculating the efficiency and improving the performance of the device. Also, it has threshold voltage of (-0.17 V) in addition obtaining a relatively small DIBL (55.11 mV/V) The subthreshold slope was in high value of 307.5 mV/dec. and this is one of the undesirable factors for the device results by short channel effect, but it does not&#13;
reduce its performance and efficiency in general. </text>
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                <text>Firas Natheer Abdul-kadir, Khalid khaleel Mohammad, Yasir Hashim</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i5.15958</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. 5 2020</text>
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Defective ground structure and complimentary split ring resonator loaded compact wideband antenna for radiolocation applications</text>
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                <text>A wideband compact antenna with wo Bandwidth enhancement techniques intended for radiolocation applications is presented. Defective ground structure (DGS) is used to enhance the bandwidth and complimentary split ring resonator (CSRR) has been used to generate the bandwidth at the lower frequency of the antenna which brings compact nature. A coax feed patch antenna radiating at X-band frequency of 10 GHz is loaded with DGS and CSRR. Proposed antenna with a bandwidth of 3.4 GHz has shown a considerable enhancement in the antenna bandwidth when compared with the antenna with CSRR alone which is having a bandwidth of 1.15 GHz and a basic patch antenna whose bandwidth is 0.91 GHz. Proposed antenna is having omni directional radiation pattern with a gain of 5.01 dB and without any null in the coverage area. A great increase in the current fields can be observed that the field currents by loading the patch and ground with CSRR and DGS respectively. The patch currents have increased from 2.76 v/m to 3.25 v/m and the ground currents have increased from 0 v/m to 2.45 v/m. Proposed antenna has been realized and its performance is measured using vector network analyzer, a near match in between the simulated result and measured result is observed. </text>
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                <text>Nelapati Ananda Rao, Siddaiah P.</text>
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              <elementText elementTextId="43226">
                <text>DOI: 10.12928/TELKOMNIKA.v18i5.15953</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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