1 10 25 https://repository.horizon.ac.id/files/original/5babc57701609bd3676b31348358268b.pdf 348debd6d251aeb2e9a31d653147c83a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 5 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control A novel compact dual-band bandstop filter with enhanced rejection bands Subject The topic of the resource Bandstop filter Dual-band Microstrip technology Nonuniform transmission lines Wideband Description An account of the resource In this paper, we present the design of a new wide dual-band bandstop filter (DBBSF) using nonuniform transmission lines. The method used to design this filter is to replace conventional uniform transmission lines with nonuniform lines governed by a truncated Fourier series. Based on how impedances are profiled in the proposed DBBSF structure, the fractional bandwidths of the two 10 dB-down rejection bands are widened to 39.72% and 52.63%, respectively, and the physical size has been reduced compared to that of the filter with the uniform transmission lines. The results of the electromagnetic (EM) simulation support the obtained analytical response and show an improved frequency behavior. Creator An entity primarily responsible for making the resource Ayyoub El Berbri, Hassna Agoumi, Seddik Bri, Youssef El Amraoui, Adil Saadi Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Apr 30, 2023 Contributor An entity responsible for making contributions to the resource Ayyoub El Berbri1 , Hassna Agoumi1 , Seddik Bri2 , Youssef El Amraoui1,3, Adil Saadi1 Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Bandstop filter Dual-band Jurnal Nasional Informatika Microstrip technology Nonuniform transmission lines Wideband https://repository.horizon.ac.id/files/original/545b5ca9d0363ae8c74342850d79207b.pdf 9e598447117dd9b41368143414de0a23 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 5 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Adaptive segmentation algorithm based on level set model in medical imaging Subject The topic of the resource Active contour Anisotropic diffusion Euler’s equation Medical image segmentation Variational level set Description An account of the resource For image segmentation, level set models are frequently employed. It offer best solution to overcome the main limitations of deformable parametric models. However, the challenge when applying those models in medical images stills deal with removing blurs in image edges which directly affects the edge indicator function, leads to not adaptively segmenting images and causes a wrong analysis of pathologies wich prevents to conclude a correct diagnosis. To overcome such issues, an effective process is suggested by simultaneously modelling and solving systems’ two-dimensional partial differential equations (PDE). The first PDE equation allows restoration using Euler’s equation similar to an anisotropic smoothing based on a regularized Perona and Malik filter that eliminates noise while preserving edge information in accordance with detected contours in the second equation that segments the image based on the first equation solutions. This approach allows developing a new algorithm which overcome the studied model drawbacks. Results of the proposed method give clear segments that can be applied to any application. Experiments on many medical images in particular blurry images with high information losses, demonstrate that the developed approach produces superior segmentation results in terms of quantity and quality compared to other models already presented in previeous works. Creator An entity primarily responsible for making the resource Boualem Mansouri, Abdelkader Khobzaoui, Mehdi Damou, Mohammed Chetioui, Abdelhakim Boudkhil Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Feb 16, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Active contour Anisotropic diffusion Euler’s equation Jurnal Nasional Informatika Medical image segmentation Variational level set https://repository.horizon.ac.id/files/original/3994989f1694ff27bf34feebea66a67f.pdf caec2a3e11fb4aad19d3586903efbdb1 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 5 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Automatic channel selection using shuffled frog leaping algorithm for EEG based addiction detection Subject The topic of the resource Automatic channel selection Drug addiction Electroencephalography MLP with SFLA Shuffled frog leaping algorithm Description An account of the resource Drug addiction is a complex neurobiological disorder that necessitates comprehensive treatment of both the body and mind. It is categorized as a brain disorder due to its impact on the brain. Various methods such as electroencephalography (EEG), functional magnetic resonance imaging (FMRI), and magnetoencephalography (MEG) can capture brain activities and structures. EEG signals provide valuable insights into neurological disorders, including drug addiction. Accurate classification of drug addiction from EEG signals relies on appropriate features and channel selection. Choosing the right EEG channels is essential to reduce computational costs and mitigate the risk of overfitting associated with using all available channels. To address the challenge of optimal channel selection in addiction detection from EEG signals, this work employs the shuffled frog leaping algorithm (SFLA). SFLA facilitates the selection of appropriate channels, leading to improved accuracy. Wavelet features extracted from the selected input channel signals are then analyzed using various machine learning classifiers to detect addiction. Experimental results indicate that after selecting features from the appropriate channels, classification accuracy significantly increased across all classifiers. Particularly, the multi-layer perceptron (MLP) classifier combined with SFLA demonstrated a remarkable accuracy improvement of 15.78% while reducing time complexity. Creator An entity primarily responsible for making the resource Grace Mary Kanaga Edward, Angela Esther Rajakumar, Kumudha Raimond, Anitha Jeevanayagam Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Apr 30, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Automatic channel selection Drug addiction electroencephalography Jurnal Nasional Informatika MLP with SFLA Shuffled frog leaping algorithm https://repository.horizon.ac.id/files/original/ae103b7a36c366402fe47bae6f5bc87c.pdf a108ec47db065674d74f2a72a6344abf Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 5 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Big data cloud-based recommendation system using NLP techniques with machine and deep learning Subject The topic of the resource Artificial intelligence Big data Keras Natural language processing Recommendation system Description An account of the resource Recommendation systems (RS) are crucial for social networking sites. Without it, finding precise products is harder. However, existing systems lack adequate efficiency, especially with big data. This paper presents a prototype cloud-based recommendation system for processing big data. The proposed work is implemented by utilizing the matrix factorization method with three approaches. In the first approach, singular value decomposition (SVD) is used, which is an old and traditional recommendation technique. The second recommendation approach is fine-tuned using the alternating least squares (ALS) algorithm with Apache Spark. Finally, the deep neural network (DNN) algorithm is utilized with TensorFlow. This study solves the challenge of handling large-scale datasets in the collaborative filtering (CF) technique after tuning the algorithms by adjusting the parameters in the second approach, which uses machine learning, as well as in the third approach, which uses deep learning. Furthermore, the results of these two approaches outperformed conventional techniques and achieved an acceptable computational time. The dataset size is about 1.5 GB and it is collected from the Goodreads website API. Moreover, the Hadoop distributed file system (HDFS) is used as cloud storage instead of the computer’s local disk for handling larger dataset sizes in the future. Creator An entity primarily responsible for making the resource Hoger K. Omar, Mondher Frikha, Alaa Khalil Jumaa Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource May 01, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text artificial intelligence Big data Keras Jurnal Nasional Informatika Natural language processing Recommendation system https://repository.horizon.ac.id/files/original/1eda0f8f8b4cdb8febb93ea41417ada1.pdf 1143ae7646cdc5fc07da9447aa04580d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 5 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Intrusion detection system for imbalance ratio class using weighted XGBoost classifier Subject The topic of the resource Imbalanced ratio class Intrusion detection Weighted XGBoost Description An account of the resource The rapid development of the internet of things (IoT) has taken an important role in daily activities. As it develops, IoT is very vulnerable to attacks and creates IoT for users. Intrusion detection system (IDS) can work efficiently and look for activity in the network. Many data sets have already been collected, however, when dealing with problems involving big data and hight data imbalances. This article proposes, using the dataset used by BotIoT to evaluate the system framework to be created, the XGBoost model to improve the detection performance of all types of attacks, to control unbalanced data using the imbalance ratio of each class weight (CW). The experimental results show that the proposed approach greatly increases the detection rate for infrequent disturbances. Creator An entity primarily responsible for making the resource Januar Al Amien, Hadhrami Ab Ghani, Nurul Izrin Md Saleh, Edi Ismanto, Rahmad Gunawan Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Feb 16, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Imbalanced ratio class Intrusion detection Jurnal Nasional Informatika Weighted XGBoost https://repository.horizon.ac.id/files/original/5d5456f88883a5e1f67ad92409e9fe0b.pdf 6d3bd8974d8f3558dc637d3690ab6285 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 5 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Impact of CuS counter electrode calcination temperature on quantum dot sensitized solar cell performance Subject The topic of the resource CuS counter electrode Electrochemistry property Structure property Description An account of the resource In place of the commercial Pt electrode used in quantum sensitized solar cells, the low-cost CuS cathode is created using electrophoresis. High resolution scanning electron microscopy and X-ray diffraction were used to analyze the structure and morphology of structural cubic samples with diameters ranging from 40 nm to 200 nm. The conversion efficiency of solar cells is significantly impacted by the calcination temperatures of cathodes at 100 °C, 120 °C, 150 °C, and 180 °C under vacuum. The fluorine doped tin oxide (FTO)/CuS cathode electrode reached a maximum efficiency of 3.89% when it was calcined at 120 °C. Compared to other temperature combinations, CuS nanoparticles crystallize at 120 °C, which lowers resistance while increasing electron lifetime. Creator An entity primarily responsible for making the resource Le Thi Ngoc Tu, Ha Thanh Tung Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Apr 30, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text CuS counter electrode Electrochemistry property Jurnal Nasional Informatika Structure property https://repository.horizon.ac.id/files/original/93a292990c90eef785e6f5690a01b46e.pdf cf58f1e497303b65bf3b13df8e0ab5e5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 5 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Wavelet-based sensing technique in cognitive radio network Subject The topic of the resource Cognitive radio Empirical data Spectrum holes Spectrum sensing Wavelet detection Description An account of the resource Cognitive radio is a smart radio that can change its transmitter parameter based on interaction with the environment in which it operates. The demand for frequency spectrum is growing due to a big data issue as many Internet of Things (IoT) devices are in the network. Based on previous research, most frequency spectrum was used, but some spectrums were not used, called spectrum hole. Energy detection is one of the spectrum sensing methods that has been frequently used since it is easy to use and does not require license users to have any prior signal understanding. But this technique is incapable of detecting at low signal-to-noise ratio (SNR) levels. Therefore, the wavelet-based sensing is proposed to overcome this issue and detect spectrum holes. The main objective of this work is to evaluate the performance of wavelet-based sensing and compare it with the energy detection technique. The findings show that the percentage of detection in wavelet-based sensing is 83% higher than energy detection performance. This result indicates that the wavelet-based sensing has higher precision in detection and the interference towards primary user can be decreased. Creator An entity primarily responsible for making the resource Mas Haslinda Mohamad, Nurusolihah Zamri, Nor Khairiah Ibrahim Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Jun 05, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Cognitive radio Empirical data Jurnal Nasional Informatika Spectrum holes Spectrum sensing Wavelet detection https://repository.horizon.ac.id/files/original/15ed2c251ce8bf562fb6b9ca2d146b82.pdf 405c707107283019717dd121aecc9028 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 5 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Design, simulation, and analysis of microstrip patch antenna for wireless applications operating at 3.6 GHz Subject The topic of the resource CST Microstrip patch antenna Rogers RT/Duroid5880 VSWR Wireless communication Description An account of the resource In this study, a microstrip patch antenna that works at 3.6 GHz was built and tested to see how well it works. In this work, Rogers RT/Duroid 5880 has been used as the substrate material, with a dielectric permittivity of 2.2 and a thickness of 0.3451 mm; it serves as the base for the examined antenna. The computer simulation technology (CST) studio suite is utilized to show the recommended antenna design. The goal of this study was to get a more extensive transmission capacity, a lower voltage standing wave ratio (VSWR), and a lower return loss, but the main goal was to get a higher gain, directivity, and efficiency. After simulation, the return loss, gain, directivity, bandwidth, and efficiency of the supplied antenna are found to be -17.626 dB, 9.671 dBi, 9.924 dBi, 0.2 GHz, and 97.45%, respectively. Besides, the recreation uncovered that the transfer speed side-lobe level at phi was much better than those of the earlier works, at -28.8 dB, respectively. Thus, it makes a solid contender for remote innovation and more robust communication. Creator An entity primarily responsible for making the resource Md. Sohel Rana, Tahasin Ahmed Fahim, Shuvashis Biswas Rana, Russel Mahbub, Md. Mostafizur Rahman Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Feb 16, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text CST Jurnal Nasional Informatika Microstrip patch antenna Rogers RT/Duroid5880 VSWR Wireless communication https://repository.horizon.ac.id/files/original/176072629440c84b28f1e9664fcdf4ed.pdf cc7b47d9dbaf4b5f5f6f76b1778d1fe6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 5 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Efficient combined fuzzy logic and LMS algorithm for smart antenna Subject The topic of the resource Fuzzy logic LMS algorithm Smart antenna Description An account of the resource The smart antennas are broadly used in wireless communication. The least mean square (LMS) algorithm is a procedure that is concerned in controlling the smart antenna pattern to accommodate specified requirements such as steering the beam toward the desired signal, in addition to placing the deep nulls in the direction of unwanted signals. The conventional LMS (C-LMS) has some drawbacks like slow convergence speed besides high steady state fluctuation error. To overcome these shortcomings, the present paper adopts an adaptive fuzzy control step size least mean square (FC-LMS) algorithm to adjust its step size. Computer simulation outcomes illustrate that the given model has fast convergence rate as well as low mean square error steady state. Creator An entity primarily responsible for making the resource Mohammed Hussein Miry, Ali Hussien Mary Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Feb 16, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Fuzzy Logic Jurnal Nasional Informatika Smart Antenna https://repository.horizon.ac.id/files/original/7553b799a296d090cf2a848111102688.pdf 1432fa15ede2505c695e21e929e644ba Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 5 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Brief note on match and miss-match uncertainties Subject The topic of the resource Disturbance Linear systems Nonlinear systems Uncertainty Description An account of the resource The appearance of uncertainties and disturbances often effects the characteristics of either linear or nonlinear systems. Plus, the stabilization process may be deteriorated thus incurring a catastrophic effect to the system performance. As such, this manuscript addresses the concept of matching condition for the systems that are suffering from miss-match uncertainties and exogeneous disturbances. The perturbation towards the system at hand is assumed to be known and unbounded. To reach this outcome, uncertainties and their classifications are reviewed thoroughly. The structural matching condition is proposed and tabulated in the proposition 1. Two types of mathematical expressions are presented to distinguish the system with matched uncertainty and the system with miss-matched uncertainty. Lastly, two-dimensional numerical expressions are provided to practice the proposed proposition. The outcome shows that matching condition has the ability to change the system to a design-friendly model for asymptotic stabilization. Creator An entity primarily responsible for making the resource Muhammad Nizam Kamarudin, Sahazati Md Rozali, Mohd H. Hairi Muhammad I. Zakaria Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Jun 05, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Disturbance Jurnal Nasional Informatika Linear systems Nonlinear systems Uncertainty