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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Reconfigurable planar inverted-F antenna for radio frequency identification tag and global positioning system applications </text>
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                <text>GPS, ISM, PIFA, PIN diode, Reconfigurable antenna, RFID tag</text>
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                <text>This paper presents the design of a reconfigurable planar inverted-F antenna (PIFA). The proposed antenna is designed and optimized to operate in two frequency bands. 2.4 GHz allocated to the industrial, scientific and medical (ISM) band for the identification of a set of vehicules within a given area, and 1.575 GHz allocated to the global positioning system (GPS) band to locate them outside. The ISM band is used for microwave frequencies for active radio frequency identification (RFID) tag, which is associated with the object to be identified. This antenna consists of two radiating elements connected by a positive-intrinsic-negative (PIN) diode to obtain the frequency reconfigurability. The first radiating element is connected to the ground plane by a shorting pin and excited by a 50 Ω coaxial feed line. Its total size is 30 mm × 50 mm × 7 mm. The substrate used is FR4 with constant dielectric relativity of 4.4 and a height of 1.6 mm. Computer simulation technology microwave studio (CST MWS) software is used to simulate and optimize the proposed reconfigurable PIFA antenna. </text>
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                <text>Assiya Amri, Tomader Mazri</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i3.23324</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;
Proportional integral derivative-based aneroid sphygmomanometer testing method </text>
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                <text>One of the parameters to be tested on the sphygmomanometer is the&#13;
deflection of the dial. The testing method based on the standard uses manual air pressure to increase the pressure so that the dial is pointed to the desired pressure. This paper proposed an automatic testing method using a proportional-integral-derivative (PID) controller based on arduino to contro the pressure. The result shows that the system is not suitable to use. The process capability index at each given setpoint is less than 1. This low cost proposed testing method still needs to be improved and could become an alternative solution for laboratory testing of the sphygmomanometer. </text>
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                <text>Wuwus Ardiatna, Nurdina Gita Pratiwi, Siddiq Wahyu Hidayat, Prayoga Bakti, Asep Rahmat Hidayat, Ihsan Supono</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i3.23323</text>
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                <text>Universitas Ahmad Dahlan</text>
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                <text>Sri Wahyuni</text>
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Crime index based on text mining on social media using multi classifier neural-net algorithm</text>
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                <text>Everyday criminal issues appear on social media, even some crime news is often disturbing to the public but it gives a warning to the public to remain careful and alert to the surrounding environment. However, following large amounts of crime information on social media is not effective, especially for busy people. Therefore, there is a need to efficiently and effectively summarize information in a way that is meaningful and easy to see, attracts people’s attention, and can be used by law enforcement officials. The purpose of this study is to present the index crime based on social media by looking for patterns of crime. This study proposes the projected index crime based on crime trends by using text mining to classify tweet texts and post contents into 10 crime classes. The classification method uses the neural-net multi classifier algorithm which has several classifiers namely logistic regression, naïve bayes, support vector machine (SVM), and decision tree in parallel. In this approach, the classifier that provides the best accuracy will be the winning classifier and will be used in the next learning process. In this experiment, in using the multi classifier neural-net, the logistics regression classifier often provides the best accuracy. </text>
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                <text>Teddy Mantoro, Muhammad Anton Permana, Media Anugerah Ayu</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i3.23321</text>
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                <text>ISSN: 1693-6930</text>
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An open-source active power controller for grid required ancillary services</text>
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                <text>Sri Wahyuni</text>
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A novel fern-like lines detection using a hybrid of pre-trained convolutional neural network model and Frangi filter </text>
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                <text>Full ferning is the peak of the formation of a salt crystallization line pattern shaped like a fern tree in a woman’s saliva at the time of ovulation. The main problem in this study is how to detect the shape of the salivary ferning line patterns that are transparent, irregular and the surface lighting is uneven. This study aims to detect transparent and irregular lines on the salivary ferning surface using a comparison of 15 pre-trained convolutional neural network models. To detect fern-like lines on transparent and irregular layers, a pre-processing stage using the Frangi filter is required. The pre-trained convolutional neural network model is a promising framework with high precision and accuracy for detecting fern-like lines in salivary ferning. The results of this study using the fixed learning rate model ResNet50 showed the best performance with an error rate of 4.37% and an accuracy of 95.63%. Meanwhile, in implementing the automatic learning rate, ResNet18 achieved the best results with an error rate of 1.99% and an accuracy of 98.01%. The results of visual detection of fern-like lines in salivary ferning using a patch size of 34×34 pixels indicate that the ResNet34 model gave the best appearance. </text>
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                <text>Heri Pratikno, Mohd Zamri Ibrahim,  Jusak</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i3.23319</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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Detection of image manipulation with convolutional neural network and local feature descriptors</text>
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                <text>Convolutional neural network, Image manipulation chain, Image manipulation detection, Local feature descriptors</text>
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                <text>In recent times, numerous digital image manipulation detection approaches have been proposed to detect which processing operations were applied to manipulate digital images. Most of these approaches consider the situation in which an image is manipulated by only one manipulation operation. However, practical image manipulation often involves multiple manipulation operations. It is important to detect multiple image manipulation operations and the order in which they were applied to establish the origin and genuineness of a given image as well as the processing history it has gone through. In this article, we proposed a new method to determine multiple image processing operation and operation chains based on convolutional neural network (CNN) and local optimal oriented pattern (LOOP). The proposed method is based on CNN and LOOP in which CNN extracts and learns image manipulation traces from the LOOP maps of the input images that are classified using softmax, extra-tree, and extreme gradient boosting (XGBOOST) classifiers. Detailed experiments show that the proposed model can attain overall detection accuracies of 99.81% and 99.15% in identifying different image manipulations and manipulation operation chains, respectively. </text>
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                <text>Ali Ahmad Aminu, Nwojo Nnanna Agwu, Steve Adeshina, Muhammed Kabir Ahmed</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i3.23318</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. 20, NO. 3 2022</text>
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Attenuated-chattering adaptive second order variable structure controller for mismatched uncertain systems</text>
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                <text>In this paper, an attenuated-chattering adaptive second order variable&#13;
structure controller (ACASOVSC) is proposed for mismatched uncertain&#13;
systems using a Moore-Penrose inverse method. The key achievements of this study include three tasks: 1) influence of the chattering in control input is diminished, 2) finite-time convergence of system states is guaranteed, and 3) external disturbance is generally assumed to be unknown in advance. Firstly, a switching manifold which comprises only output information is defined. Secondly, a reduced-order variable structure estimator (ROVSE) with lower dimension is designed to reduce the computation burden and enhance the robustness. Thirdly, an adaptive approach is used to guess the upper bound of the unknown exogenous disturbance. Next, an ACASOVSC is investigated for attenuating the chattering phenomenon and stabilizing the system. Then, a novel linear matrix inequality (LMI) constraint by the Lyapunov technique is given such that the plant is entirely invariant to matched uncertainties and asymptotically stable. Finally, a mathematical illustration is simulated, which exhibits the usefulness and the feasible&#13;
application of the proposed method. </text>
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                <text>Phan-Thanh Nguyen, Trieu Ton Ngoc, Cong-Trang Nguyen</text>
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              <elementText elementTextId="46184">
                <text>DOI: 10.12928/TELKOMNIKA.v20i3.23317</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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General rules of evaluating binary number divisibility on prime numbers</text>
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                <text>This research paper is to define new rule to find the divisibility of stream of binary on any prime numbers 3, 5, 7 ...... with reminder 0. In general,&#13;
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greater than 2. This rule will depend on separating the binary number into blocks of bits then processes each block separately in a special procedure to find the possible divisibility on the prime number. After testing this new rule with prime numbers 3, 5, and 7 as a sample of prime numbers, the finding shows that this rule provides fast and true results.</text>
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Empirical measurement for path loss characteristics at multiple frequency bands from 2.2 to 14.6 GHz in chamber room </text>
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                <text>Free space path loss (FSPL) is the loss of electromagnetic signal strength.&#13;
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line of sight (LoS) indoor single layer, as the distance increases, the path loss in the 1 GHz frequency band also exceeds the free space path loss. This is because the first Fresnel zone is shielded by the floor and ceiling.&#13;
To improve the measurement results, a fully covered anechoic chamber is used in this empirical measurement. The measurement is based on multiple frequency bands from 2.23201 GHz to 14.685 GHz. This article details how to achieve it. Measurements are made to establish the correlation between the power transmit value and the frequency value. This movement involves the establishment of microwave link transmissions. Use a signal generator to control the transmit power and use a vector network analyzer in the electromagnetic compatibility (EMC) room to measure the received power level. Appropriate analysis that determines the correlation. The logarithm function developed based on the empirical experiment conducted, the result suggested the formulation of LFS = a − b × ln(x + c). These findings enable people to understand the required FSPL value as the power transmission and frequency change during each measurement. </text>
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                <text>Atikah Balqis Basri, Khairayu Badron, Ahmad Fadzil Ismail, Abadi Chanik</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i3.23306</text>
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Low overhead optimal parity codes</text>
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                <text>The error detecting and correcting codes are used in critical applications like in intensive care units, defense applications, and require highly reliable data. This brief focuses on codes to detect and correct adjacent errors within a single clock cycle by using modulo-2 addition of data bits for parity generation, syndrome calculation, error location identification and correction by improving code rate and minimizing bit overhead. The optimal parity codes devised can correct odd number of adjacent errors upto (N/2)-1 data bits when compared with the existing codes with less delay. Four optimal codes are proposed using existing decimal matrix codes properties. The proposed codes prove better in terms of area, delay, power, bit overhead, code rate, code efficiency, and with good reliability. The components are developed in veriloghardware description language and verified for zynq 7000 series field programmable gate array in xilinx integrated synthesis environment 14.5 Tool. Among the codes devised, optimal code-4 proves to be a better code with 65.3% code rate and 53.12% bit overhead. Also when compared with other codes, it uses 33.3% less area and 1.89% less power delay product for encoder and 32.2% less area and 0.36% power delay product for decoder respectively. </text>
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                <text>Neelima Koppala, Chennapalli Subhas</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v20i3.23301</text>
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                <text>Sri Wahyuni</text>
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