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                  <text>VOL. 18, NO. 2 2020</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Brain computer interface based smart keyboard using neurosky mindwave headset </text>
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                <text>In the last decade, numerous researches in the field of electro-encephalography (EEG) and brain-computer-interface (BCI) have been accomplished. BCI has been developed to aid disabled/partially disabled people to efficiently communicate with the community. This paper presents a control tool using the Neurosky Mindwave headset, which detects brainwaves (voluntary blinks and attention) to form a brain-&#13;
computer interface (BCI) by receiving the system signals from the frontal lobe. This paper proposed an alternative computer input device for those disabled people (who are physically challenged) rather than the conventional one. The work suggested to use two virtual keyboard designs. The conducted experiment revealed a significant result in developing user printing skills on PCs. Encouraging results (1.55-1.8 word per minute (WPM)) were obtained in this research in comparison to other studies. </text>
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                <text>Thair A. Salih, Yasir M. Abdal</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i2.13993</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>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. 18, NO. 2 2020</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Dynamic multiagent method to avoid duplicated information at intersections in VANETs</text>
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                <text>Clustering algorithm, Data dissemination, Intelligent transportation&#13;
system (ITS), Multiagent, Vehicular ad hoc network (VANET)</text>
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                <text>Vehicular ad hoc networks (VANETs) allow vehicles to contact one another to provide safety and comfort applications. However, mobility is a great challenge in VANETs. High vehicle speed causes topological changes that result in unstable networks. Therefore, most previous studies focused on using clustering techniques in roads to reduce the effect of vehicle mobility and enhance network stability. Vehicles stop moving at intersections, and their mobility does not impact clustering. However, none of previous studies discussed the impact of vehicle stopping at intersections on base stations (BSs). Vehicles that have stopped moving at intersections continue to send the same information to BSs, which causes duplicated information. Hence, this study proposes a new method named dynamic multiagent (DMA) to filter cluster information and prevent duplicated information from being sent to BSs at intersections. The performance of the proposed method was evaluated through simulations during the use of DMA and without-DMA (W-DMA) methods based on real data collected from 10 intersections in Batu Pahat City, Johor, Malaysia. Overall, the proposed DMA method results in a considerable reduction in duplicated information at intersections, with an average percentage of 81% from the W-DMA method. </text>
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                <text>Mohammed I. Habelalmateen, A. H. Abbas, L. Audah, N. A. M. Alduais</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i2.13947</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>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. 18, NO. 2 2020</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
Sentiment analysis by deep learning approaches</text>
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                <text>Bimodal, CNN layers, MOUD, Multimodal, Word embeddings</text>
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                <text>We propose a model for carrying out deep learning based multimodal&#13;
sentiment analysis. The MOUD dataset is taken for experimentation&#13;
purposes. We developed two parallel text based and audio basedmodels and further, fused these heterogeneous feature maps taken from intermediate layers to complete thearchitecture. Performance measures–Accuracy, precision, recall and F1-score–are observed to outperformthe existing models.</text>
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                <text>Sreevidya P. , O. V. Ramana Murthy, S. Veni</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i2.13912</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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                  <text>VOL. 18, NO. 2 2020</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control &#13;
An optimum dynamic priority-based call admission control scheme for universal mobile telecommunications system </text>
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                <text>3G, CAC, IoTs, QoS, UMTS</text>
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Technology organization environment framework in cloud computing</text>
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                <text>Cloud Computing is a rapidly emerging technology over the last few years, that has abolished the burden of purchasing heavy hardware and software. Cloud computing has been advantageous to Small and Medium-sized Enterprises (SMEs), though many SMEs have not adopted to delve into its appealing benefits. To increase the cloud adoption rate in these Enterprises, the most important thing is to understand the aspects which influence the cloud adoption. The article focuses on these factors, which influence the use of cloud services by establishing the three layer hierarchical framework based on the grounded on the Technology Oriented Environmental (TOE) framework through systematic literature review. Because cloud-based solutions offer&#13;
numerous benefits for companies, they have precious cloud determinants. This paper therefore took into account the Technology Organization Environment TOE model for Cloud Computing adoption. In addition, the questionaries designed at the end also indicate the significant connection in the decision of adoption between three context&#13;
of TOE. Moreover, the designed questionaries has been used for the analysis of cloud computing adoption in Bangladeshi SMEs.</text>
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Benchmark and comparison between hyperledger and MySQL</text>
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                <text>In this paper, we report the benchmarking results of Hyperledger, a Distributed Ledger, which is the derivation Blockchain Technology. Method to evaluate Hyperledger in a limited infrastructure is developed. Themeasured infrastructure consists of 8 nodes with a load of up to 20000 transactions/second. Hyperledger consistently runs all evaluation, namely, for 20,000 transactions, the run time 74.30s, latency 73.40ms latency, and 257 tps. The benchmarking of Hyperledger shows better than a database system in a high workload scenario. We found that the maximum size data volume in one transaction on the Hyperledger network is around ten (10) times of MySQL. Also, the time spent on processing a single transaction in the blockchain network is 80-200 times faster than MySQL. This initial analysis can provide an overview for practitioners in making decisions about the adoption of blockchain technology in their IT systems. </text>
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                <text>Onno W. Purbo, Sriyanto, Suhendro, Rz Abd. Aziz, Riko Herwanto</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i2.13743</text>
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                <text>Sri Wahyuni</text>
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New approach to the identification of the easy expression recognition system by robust techniques (SIFT, PCA-SIFT, ASIFT and SURF)</text>
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                <text>In recent years, facial recognition has been a major problem in the field&#13;
of computer vision, which has attracted lots of interest in previous years&#13;
because of its use in different applications by different domains and image analysis. Which is based on the extraction of facial descriptors, it is a very important step in facial recognition. In this article, we compared robust methods (SIFT, PCA-SIFT, ASIFT and SURF) to extract relevant facial information with different facial posture variations (open and unopened mouth, glasses and no glasses, open and closed eyes). The simulation results show that the detector (SURF) is better than others at finding the similarity descriptor and calculation time. Our method is based on the normalization of vector descriptors and combined with the RANSAC algorithm to cancel outliers in order to calculate the Hessian matrix with the objective  of reducing the calculation time. To validate our experience, we tested four facial images databases containing several modifications. The results of the simulation show that our method is more efficient than other detectors in terms of speed of recognition and determination of similar points between two images of the same face, one belonging to the base of the text and the other one to the base driven by different modifications. This method, which can be applied on a mobile platform to analyze the content of simple images,&#13;
for example, to detect driver fatigue, human-machine interaction,&#13;
human-robot. Using descriptors with properties important for good accuracy and real-time response.</text>
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                <text>Ahmed Chater, Abdelali Lasfar</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i2.13726</text>
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                <text>Sri Wahyuni</text>
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A new multi-level key block cypher based on the Blowfish algorithm</text>
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                <text>Blowfish is a block cypher algorithm used in many applications to enhance security, but it includes several drawbacks. For example, the mix between the key and data is limited. This paper presents a new modification to the Blowfish algorithm to overcome such problems realised through a multi-state operation instead of an XOR. Our proposed algorithm uses three keys in the encryption and decryption processes instead of one for controlling the variable block bits sizes (1, 2, 4, and 8) bits and for determining the state table numbers. These tables are formed from the addition in a Galois field GF (2n ) based on block bit size to increase the complexity of the proposed algorithm. Results are evaluated based on the criteria of complexity, time encryption, throughout, and histogram, and show that the original Blowfish, those modified by other scholars, and our proposed algorithm are similar in&#13;
time computation. Our algorithm is demonstrated to be the most complex compared with other well-known and modified algorithms. This increased complexity score for our proposed Blowfish makes it more resistant against attempts to break the keys.</text>
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                <text>Suhad Muhajer Kareem, Abdul Monem S. Rahma</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i2.13556</text>
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                <text>Sri Wahyuni</text>
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                <text>ISSN: 1693-6930</text>
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Compact reconfigurable PIFA antenna for wireless applications&#13;
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                <text>This paper presents, new compact and multiband frequency reconfigurable planar inverted-F antenna (PIFA). The antenna is designed and optimized to cover mobile application devices like GPS, WLAN/Wi-Fi, WiMAX, 4G LTE, UWB, and satellite applications. The frequency reconfigurability is obtained by using only a single RF switch (PIN diode) for changing the operating frequency. The antenna dimensions are 45.6x39.6x1.6 mm3 printed on an FR-4 epoxy substrate with relative dielectric constant εr = 4.3, loss tangent tan (δ) = 0.002 and 50 Ω coaxial feed line. The proposed antenna has two patches connected by a single PIN diode. The antenna introduces nine resonant frequencies under (S11 ≤ -10 dB) which are: 0.980 GHz, 3.392 GHz, 3.924 GHz, 4.554 GHz, 5.82 GHz, 6.81 GHz, 7.305 GHz, 8 GHz and 8.105 GHz in the ON and OFF states of the PIN diode which are applicable to cover GSM900, WLAN/Wi-Fi, WiMAX, 4G LTE, UWB, and satellite systems. The obtained maximum simulated gain is 8.45 dB at 6.81 GHz. The lowest return loss is obtained to be -42 dB at 5.854 GHz. Detailed&#13;
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                <text>Abdullah Ali Jabber, Ali Khalid Jassim, Raad H. Thaher</text>
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                <text>DOI: 10.12928/TELKOMNIKA.v18i2.13427</text>
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                <text>Sri Wahyuni</text>
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                  <text>VOL. 18, NO. 2 2020</text>
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 Technology readiness and usability of office automation system in suburban areas</text>
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                <text>Readiness and usability issues are important attributes of an information system (IS) success. Currently, IS studies that have been assessing the issues in suburban areas are still limited. The purpose of this study was to measure the above-mentioned phenomena by combining the readiness and usability models. The proposed model consisted out 10 constructs with 25 indicators. The four constructs were from the readiness model and the six ones were the usability model. The 89 samples were collected using an online survey based on purposive random sampling. Partial least squares structural equation modeling (PLS-SEM) method with SmartPLS 3.2.8 was used for analyzing the data. The findings may have contributed to the IS research field, in terms of the readiness and usability issues on the IS use in a suburban area in Indonesia. </text>
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                <text>Sri Wahyuni</text>
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