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                <text>The process of identifying images and patterns is one of the most important processes of digital image processing, which is used in many applications such as fingerprint recognition, face recognition and pattern recognition. Due to the large size of the image, the process of identifying the image requires a great time, which in turn leads us to extract some characteristics of the magnitude of the volume, which can be used as an identifier to retrieve the image or recognize it and thus we have devoted a lot of time to identify the image. In this research paper, a modified symmetric local binary pattern (MSLBP) method was proposed to extract texture features. The proposed algorithm was implemented on many digital fingerprint’s images and the local structure features of these images were obtained. Several image recognition experiments are conducted on these features and compared with other algorithms. The results of the proposed algorithm showed that the digital image was represented in a very small size and furthermore the speed and accuracy of image recognition based on the proposed method was increased significantly. Unlike the methods based on LBP, the proposed method gives the same features of the image even if the image was rotated&#13;
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                <text>DOI: 10.12928/TELKOMNIKA.v18i3.14256</text>
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                <text>Jacob is a voice chatbot that use Wit.ai to get the context of the question and give an answer based on that context. However, Jacob has no variation in answer and could not recognize the context well if it has not been learned previously by the Wit.ai. Thus, this paper proposes two features of artificial intelligence (AI) built as a web service: the paraphrase of answers using the Stacked Residual LSTM model and the question summarization using Cosine Similarity with pre-trained Word2Vec and TextRank algorithm. These two features are novel designs that are tailored to Jacob, this AI module is called Cleveree. The evaluation of Cleveree is carried out using the technology acceptance model (TAM) method and interview with Jacob admins. The results show that 79.17% of respondents strongly agree that both features are useful and 72.57% of respondents strongly agree that both features are easy to use. </text>
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                <text>Innovative tactics are employed by terrorists to conceal weapons and&#13;
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 Stochastic renewable energy resources integrated multi-objective optimal power flow</text>
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                <text>The modern state of electrical system consists the conventional generating units along with the sources of renewable energy. The proposed article recommends a method for the solution of single and multi-objective optimal power flow, integrating wind and solar output energy with traditional coal-based generating stations. In the first part of the article, the two wind power plants and one solar PV power plants are incorporated with the thermal power plants. The optimal power flow problem of single and conflicting multi-objectives are taken with this scenario. The second part of the paper, solar power plant is replaced with another wind power plant with the conventional coal-based power plants. The techno-economic analysis are done with this state of electrical system. In proposed work, lognormal and weibull probability distribution functions are also utilized for predicting solar and wind outputs, respectively. A non-dominated multi-objective moth flame&#13;
optimization technique is used for the optimization issue. The fuzzy&#13;
decision-making approach is applied for extracting the best compromise&#13;
solution. The results are validated though adapted IEEE-30 bus test system, which is incorporated with wind and solar generating plants.</text>
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                <text>Sundaram B. Pandya, Hitesh R. Jariwala</text>
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                <text>ISSN: 1693-6930</text>
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Design of high gain dual T-shaped stub antenna for satellite communication</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;
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                <text>A. Pramod Kumar, D. M. K. Chiatanya, D. Venkatachari</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i3.14992</text>
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                <text>Sri Wahyuni</text>
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2D mapping using omni-directional mobile robot equipped with LiDAR</text>
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                <text>A room map in a robot environment is needed because it can facilitate&#13;
localization, automatic navigation, and also object searching. In addition,&#13;
when a room is difficult to reach, maps can provide information that is helpful to humans. In this study, an omni-directional mobile robot equipped with a LiDAR sensor has been developed for 2D mapping a room. The YDLiDAR X4 sensor is used as an indoor scanner. Raspberry Pi 3 B single board computer (SBC) is used to access LiDAR data and then send it to a computer wirelessly for processing into a map. This computer and SBC are integrated in robot operating system (ROS). The movement of the robot can use manual control or automatic navigation to explore the room. The Hector SLAM algorithm determines the position of the robot based on scan matching of the LiDAR data. The LiDAR data will be used to determine the obstacles encountered by the robot. These obstacles will be represented in occupancy grid mapping. The experimental results show that the robot is able to follow the wall using PID control. The robot can move automatically to construct maps of the actual room with an error rate of 4.59%. </text>
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                <text>Muhammad Rivai, Dony Hutabarat, Zishwa Muhammad Jauhar Nafis</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i3.14872</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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A hybrid algorithm for wave-front corrections applied to satellite-to-ground laser communication </text>
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                <text>Adaptive optics (AO), Genetic algorithm, Object-oriented matlab adaptive optics (OOMAO), Satellite-to-ground, Wave-front correction</text>
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                <text>Laser communications hold accurate data rate for ground satellite links.&#13;
The laser beam is transmitted through the atmosphere. The clear-air turbulence induces a number of phase distortions that damage wave-front. Adaptive optics (AO) treats wave front correction. The nature of AO systems is iterative; it can be integrated in metaheuristic algorithms such as genetic algorithm (GA). This paper presents improved version of algorithm for wave-front corrections. The improved algorithm is based on genetic algorithm (GA) and adaptive optics approach (OA). It is implemented in a computer simulation model called object-oriented matlab adaptive optics (OOMAO). The optimisation process involves best possible GA parameters as a function of population size, iteration&#13;
count, and the actuators’ voltage intervals. Results show that the application of GA improves the performance of AO in wave-front corrections and the communication between satellite-to-ground laser links as well. </text>
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                <text>Mohammed Senan Al Gobi, Djamel Benatia, Mouadh Bali</text>
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              <elementText elementTextId="39186">
                <text>DOI: 10.12928/TELKOMNIKA.v18i3.12960</text>
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              <elementText elementTextId="39187">
                <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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