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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control&#13;
A secured data transform-and-transfer algorithm for energy internet-of-things applications</text>
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                <text>Digital transformation&#13;
Digitization&#13;
Energy internet of things&#13;
Security</text>
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                <text>Digital transformation (DT) is one of the key technologies with effective&#13;
impacts on many traditional processes towards a digital world. DT influences&#13;
&#13;
the way other digital services behave. Hence, there is a need to consider DT-&#13;
related processes carefully specifically while designing phase. DT contributes&#13;
&#13;
to many services. It can, for example, contribute to implement security tasks&#13;
applied to digital contents and therefore can be applied to change contents&#13;
being secured. One of the transformation ways applied in security is to&#13;
consider the way those digital contents are being stored or transferred. This&#13;
paper proposes a DT algorithm (DTA) for energy internet-of-things (EIOT)&#13;
contents. DTA consists of two steps, to convert original contents to another&#13;
digital form and to transfer that form utilizing IOT. This paper utilizes DT in&#13;
term of security. EIOT contents are converted to increase security. It is aimed&#13;
to transfer EIOT contents to destination safely and efficiently. Thus, EIOT&#13;
contents are transformed first to hide original contents. To make sure that the&#13;
transferring process is done safely, DTA is evaluated in terms of efficiency,&#13;
accuracy, and robustness. Results confirm that DTA is efficient, accurate, and&#13;
robust against loss of bits caused by transferring.</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control&#13;
Blockchain-based adoption framework for authentic land registry system in Malaysia</text>
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                <text>Blockchain&#13;
Land records&#13;
Land registry&#13;
Open sources&#13;
Prototype&#13;
Smart contracts</text>
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                <text>Land registration systems are very essential for property ownership&#13;
&#13;
management. The exited land registry systems are less efficient and time-&#13;
consuming and expose to human errors. By using blockchain technology,&#13;
&#13;
most of the principles of good governance in land administration such as&#13;
transparency and efficiency can be fulfilled. However, there is a lack of&#13;
experience in developing blockchain-based land registry systems. This paper&#13;
proposes a blockchain-based adoption framework for land registry&#13;
management in Malaysia. It elaborates more on developing a prototype that&#13;
fulfills the main functions of current land registration by using smart contract&#13;
functionalities. Also, this paper illustrates the main challenges of adopting&#13;
this technology such as expertise shortage of software developers,&#13;
implementation difficulties due to scalability of the land transactions, data&#13;
sharing with different types of blockchain and lack of security attacks&#13;
resistance. Therefore, there is a need to form an agreed-upon blockchain&#13;
development platform that meet such constraints.</text>
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                <text>Abdulaziz Aborujilah, Muhammad Naqib Mohd Yatim, Abdulaleem Al-Othmani</text>
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                <text>TELKOMNIKA Telecommunication, Computing, Electronics and Control&#13;
Quality control in GNSS reflectometry method for tide observations</text>
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                <text>Control quality&#13;
GNSS-R&#13;
Periodogram&#13;
Tide</text>
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                <text>Recently, the reflected signals from global navigation satellite systems&#13;
(GNSS) have been utilized to observe coastal tides, and it has been found&#13;
that this method provides promising results. Although this method is&#13;
promising, there remain problems related to accuracy of the observed tides.&#13;
The purpose of this study was to improve the accuracy by employing an&#13;
optimal spectral method in the quality control scheme. The quality control&#13;
process is carried out by setting parameters to achieve the best possible&#13;
frequency correlated with sea levels such as estimation of the noise&#13;
frequency range, frequency amplitude power selection, and selection of peak&#13;
frequency to noise ratio. The results using the data at Morotai station showed&#13;
that the amplitude power less than 5 comes from low-frequency signals and&#13;
hence it is an indicator that the Lomb-Scargle periodogram (LSP) fails to&#13;
determine the dominant frequency. In addition, the result of the peak&#13;
frequency to noise ratio shows a value of 2.7, meaning that the peak&#13;
frequency of the LSP signal is at least 2.7 times greater than the signal noise.&#13;
Quality control sensitivity settings are very effective in determining the&#13;
reflectors height coming from the sea level. The periodogram visualization&#13;
can be used to decide which LSP is significant.</text>
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                <text>Agung Syetiawan, Dudy Darmawan Wijaya, Irwan Meilano</text>
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Comparison of the feature selection algorithm in educational data mining</text>
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                <text>Classification&#13;
Decision&#13;
Educational data mining&#13;
Feature selection algorithm&#13;
Student academic</text>
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                <text>Student academic accomplishment is the foremost focus of every educational&#13;
institution. In developing student achievement in educational institutions, the&#13;
researchers finally created a new research area, namely educational data&#13;
mining (EDM). How the feature selection (FS) algorithm works is by&#13;
removing unrelated data from educational datasets; therefore, this algorithm&#13;
can improve the classification performance managed in EDM techniques. This&#13;
research presents an analysis of the performance of the FS algorithm from the&#13;
student dataset. The results received from other FS algorithms and classifiers&#13;
will help other researchers to gain some best combination regarding FS&#13;
algorithms and the classification. Selecting features that are relevant for&#13;
student forecast models is a sensitive problem to stakeholders in education&#13;
because they must make decisions based on the results of the prediction&#13;
models. For the future, our paper seeks to play a decisive part while developing&#13;
quality concerning education, as well as guiding different researchers in&#13;
conducting educational interventions.</text>
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Human activity recognition for static and dynamic activity using convolutional neural network</text>
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                <text>Evaluated activity as a detail of the human physical movement has become a&#13;
leading subject for researchers. Activity recognition application is utilized in&#13;
several areas, such as living, health, game, medical, rehabilitation, and other&#13;
smart home system applications. An accelerometer was popular sensors to&#13;
recognize the activity, as well as a gyroscope, which can be embedded in a&#13;
smartphone. Signal was generated from the accelerometer as a time-series data&#13;
is an actual approach like a human actifvity pattern. Motion data have acquired&#13;
in 30 volunteers. Dynamic actives (walking, walking upstairs, walking&#13;
downstairs) as DA and static actives (laying, standing, sitting) as SA were&#13;
collected from volunteers. SA and DA it's a challenging problem with the&#13;
different signal patterns, SA signals coincide between activities but with a&#13;
clear threshold, otherwise the DA signal is clearly distributed but with an&#13;
adjacent upper threshold. The proposed network structure achieves a&#13;
significant performance with the best overall accuracy of 97%. The result&#13;
indicated the ability of the model for human activity recognition purposes.</text>
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Partial discharge measurements for investigating defected solid dielectrics</text>
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Solid dielectrics</text>
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                <text>Insulation system in high voltage power equipment plays an important role for&#13;
the reliability of the electric power system. So, it is necessary to assess its&#13;
performance to prevent any sudden interruption in the power system. Partial&#13;
discharge (PD) in solid dielectrics could occur due to the presence of a cavity&#13;
or a crack within the insulating material which could be formed during&#13;
manufacturing, installing or/and operating conditions. Since internal cavities&#13;
are the main source of the PD activities, they can lead to causing deterioration&#13;
of the insulation system and consequently a complete failure may be occurred.&#13;
In this paper, PD measurement and simulation are performed on a rubber&#13;
insulating material with variable cylindrical cavity diameters. High-frequency&#13;
current transformer (HFCT) technique is introduced for PD measurement.&#13;
Therefore, a PD simulation model is developed using COMSOL Multiphysics&#13;
program interlinked with Matlab software in order to investigate the influence&#13;
of cavity geometry on the PD behavior in insulating material. Both measured&#13;
and simulated results indicate that PD magnitude is strongly depending on&#13;
changing the cavity size inside the insulating material. The results show a good&#13;
agreement between experimental and simulated data outputs in terms of&#13;
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Design a new notched UWB antenna to rejected unwonted band for wireless communication</text>
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                <text>This paper presents a slotted design for ultra-wideband (UWB) antenna.&#13;
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GHz, to achieve notch characteristics in the bands at 3.1-8.4 GHz and 8.6-&#13;
10.6 GHz. By changing the direction of distribution of current to apply this&#13;
technique by inserting three C-shaped holes and two pairs of rectangular&#13;
notches below the antenna. The simulation results reveal that the proposed&#13;
structure is in good accord with the simulation results. The proposed UWB&#13;
antenna size is (100x90x1.6 mm)3&#13;
&#13;
. This proposed design could provide a&#13;
solution to eliminating bands that interfere in a UWB band depending on the&#13;
aperture design. The simulated findings reveal that the UWB antenna&#13;
operates in the 8.5 GHz center frequency range and rejects all frequency&#13;
bands utilizing slits. This antenna design can provide a solution to remove&#13;
UWB bands from 3.1-10.6 except for 8.5 GHz which only works. By using&#13;
the notch, we got a large increase in the gain. makes to be a suitable&#13;
candidate for X-band-UWB applications.</text>
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                <text>Ansam Qasim Kamil, Ali Khalid Jassim</text>
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                <text>In this paper, we present a new antenna for radio frequency identification&#13;
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around 868 MHz, this antenna is designed on a flexible plastic substrate of&#13;
relative permittivity 3 and low tangential losses which is 0.002. The proposed&#13;
tag is designed to identify clothing in supermarkets. The tag antenna has a&#13;
miniature size of 38 mm in length and 26 mm in width. This miniature size&#13;
was obtained by using two rectangular split ring resonator (RSRR). The&#13;
impedance matching of the RFID chip with the antenna was carried out by a&#13;
double T-matching structure. The antenna is designed, simulated and&#13;
optimized using computer simulation technology (CST) microwave studio&#13;
software and good results have been obtained in terms of impedance&#13;
matching, gain and read range.</text>
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Metaheuristic optimization in neural network model for seasonal data</text>
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Neural network&#13;
Optimization&#13;
Rainfall&#13;
Time series</text>
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                <text>The use of metaheuristic optimization techniques in obtaining the optimal&#13;
weights of neural network model for the time series was the main part of this&#13;
research. The three optimization methods used as experiments were genetic&#13;
algorithm (GA), particle swarm optimization (PSO), and modified bee colony&#13;
(MBC). Feed forward neural network (FFNN) was the neural network (NN)&#13;
architecture chosen in this research. The limitations and weaknesses of&#13;
gradient-based methods for learning algorithm inspired some researchers to&#13;
use other techniques. A reasonable choice is non-gradient based method.&#13;
Neural network is inspired by the characteristics of creatures. Therefore, the&#13;
optimization techniques which are also resemble the patterns of life in nature&#13;
will be appropriate. In this study, various scenarios on the three metaheuristic&#13;
optimization methods were applied to get the best one. The proposed&#13;
procedure was applied to the rainfall data. The experimental study showed that&#13;
GA and PSO were recommended as optimization methods at FFNN model for&#13;
the rainfall data.</text>
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                <text>Budi Warsito, Rukun Santoso, Hasbi Yasin</text>
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                <text>http://journal.uad.ac.id/index.php/TELKOMNIKA</text>
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An implentation of IoT for environmental monitoring and its analysis using k-NN algorithm</text>
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k-NN&#13;
WSN</text>
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                <text>Environmental monitoring is a process for observing around with various&#13;
conditions. Recently, internet of things (IoT) and wireless sensor network&#13;
(WSN) technologies support to solve these problems. In this paper, we&#13;
implemented a system to monitor environmental conditions using IoT and&#13;
WSN technology. The data measure is temperature, humidity, carbon&#13;
monoxide (CO) and carbon dioxide (CO2) sensors. All sensor data will be sent&#13;
and stored to the cloud through the internet in real-time. We provide&#13;
applications for monitoring website and mobile phone-based environmental&#13;
conditions, so users can access wherever and whenever. Furthermore, we also&#13;
confirm the evaluation of analyst data that used k-NN method is better than&#13;
other methods with an accuracy rate of 99.0657%.</text>
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                <text>Eko Prayitno, Nurul Fahmi , M. Udin Harun Al Rasyid, Amang Sudarsono</text>
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