2 10 26 https://repository.horizon.ac.id/files/original/aafb8f5473b5aea39c01e9f25c61b32e.pdf 40ff03ed9600306c2faad5f01c42baad 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. 23, NO.4 2025 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 Perceived ease of use, usefulness, and task interdependence: impacts on employee performance in higher education Subject The topic of the resource Employees’ work performance Perceived ease of use Perceived usefulness Task interdependence Technology acceptance model Description An account of the resource This research aimed to investigate the relationship between perceived ease of use (PEU), perceived usefulness (PU), and task interdependence (TASKINT) on employees’ work performance. Technology acceptance model (TAM) was used as a theoretical perspective to explore technology adoption in the context of employees in higher education using electronic asset management (EAM). Moreover, a quantitative method was used to explain the causality of the relationship between the variables, and a total of 380 respondents were determined as the sample. The results showed that PEU and usefulness had a significant effect on TASKINT. Even though PEU and TASKINT had a significant effect on employees’ work performance, PU did not have a significant effect. In addition, the results showed TASKINT significantly mediated the relationship between perceived ease of use, usefulness, and employees’ work performance. These findings imply that enhancing the ease of use and fostering TASKINT can lead to improved employee performance when adopting new technologies. For higher education institutions (HEI), focusing on user-friendly systems and promoting collaborative tasks can maximize the benefits of technology implementation on work performance. Creator An entity primarily responsible for making the resource Inayati Mandayuni1, Kiagus Muhammad Sobri1, Alfitri2, Andries Lionardo1 Source A related resource from which the described resource is derived Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource May 10, 2025 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 Employees’ work performance Perceived ease of use Perceived usefulness Task interdependence Technology acceptance model https://repository.horizon.ac.id/files/original/dbac2efc2ffca6adaa9f5d07f6b6d332.pdf 0f55250486a5297756bf9edfe3a658fb 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. 23, NO.4 2025 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 Graphene-based high-gain MIMO antenna for enhanced 6G wireless communication systems Subject The topic of the resource Graphene High-gain Multiple-input multiple-output Resistor-inductor-capacitor THz antenna Wireless communication Description An account of the resource This paper presents a novel design and analysis of a high-performance multiple-input multiple-output (MIMO) terahertz (THz) antenna intended for next-generation sixth-generation (6G) wireless communication systems. The proposed antenna operates over a wide frequency range of 1 THz to 4.9 THz, achieving a broad bandwidth of 3.9 THz with three distinct resonant frequencies at 2.05 THz, 3.9 THz, and 4.52 THz, each exhibiting excellent return loss characteristics. The antenna features a graphene-based patch with a copper ground plane, etched on a polyimide substrate with a dielectric constant (εr) of 3.5 and a thickness of 10 micrometers (μm). Key performance metrics, including a high gain of 15.9 decibels (dB), an efficiency of 95.95%, an envelope correlation coefficient (ECC) of 0.0005, and a diversity gain (DG) of 9.997 dB, indicate outstanding performance. The measured isolation between the two antenna elements is -31.91 dB, signifying excellent isolation. An equivalent resistor-inductor-capacitor (RLC) circuit model is developed using advanced design system (ADS), validated by comparing S11 results from both computer simulation technology (CST) and ADS simulations. The proposed MIMO antenna’s wide operating range and robust performance demonstrates great potential for high-speed THz wireless communication, imaging, spectroscopy, sensing, and offers valuable contributions to industry and innovation. Creator An entity primarily responsible for making the resource Narinderjit Singh Sawaran Singh1, Md. Ashraful Haque2, Jamal Hossain Nirob2, Kamal Hossain Nahin2, Md. Kawsar Ahmed2, Md. Sharif Ahammed2, Redwan A. Ananta2, Liton Chandra Paul3 Source A related resource from which the described resource is derived Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource Mar 11, 2025 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 Graphene High-gain Multiple-input multiple-output Resistor-inductor-capacitor THz antenna Wireless communication https://repository.horizon.ac.id/files/original/c272fbfa75108960b01678bc6105d385.pdf 2fb5fb7078dee8e015ba2c1c6c40fcd5 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. 23, NO.4 2025 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 A novel-shaped THz MIMO antenna with high bandwidth for advanced 6G wireless application Subject The topic of the resource 6G Communication Graphene High-gain Resistance-inductance-capacitance THz antenna Wide-bandwidth Description An account of the resource This article presents an industrial and innovation highly efficient drone-shaped slotted graphene-based multiple input multiple output (MIMO) antenna with improved isolation, designed for high-speed short-range communication, video rate imaging, medical imaging, and explosive detection in the THz band. The proposed antenna is constructed on an 88×244 μm2 polyimide substrate. Key performance parameters such as reflection coefficient, gain, directivity, radiation pattern, and antenna efficiency are evaluated at the resonating frequencies of 1.7 THz, 3.35 THz, and 5.31 THz, covering a wide bandwidth of 4.88 THz with a reflection coefficient of less than -10 dB. The antenna achieves a maximum gain of 13.92 dB and a radiation efficiency of 95.77% within the resonating band. The MIMO design parameters include an envelope correlation coefficient (ECC) of 0.00015, a diversity gain (DG) of 9.9992, and an isolation of less than -31.55 dB between its elements across the entire bandwidth. The outcomes from CST simulations were verified by designing and simulating a similar resistance-inductance-capacitance (RLC) circuit in advanced design system (ADS), with both simulators producing comparable reflection coefficients. These features underscore the potential of the proposed antenna, utilizing simulations and an equivalent RLC circuit model, as a robust candidate for THz band applications in 6G wireless communication. Creator An entity primarily responsible for making the resource Kamal Hossain Nahin1, Jamal Hossain Nirob1, Md. Ashraful Haque1, Narinderjit Singh Sawaran Singh2, Redwan Al Mahmud Bin Asad Ananta1, Md. Kawsar Ahmed1, Md. Sharif Ahammed1, Liton Chandra Paul3 Source A related resource from which the described resource is derived Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource Mar 11, 2025 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 6G Communication Graphene High-gain Resistance-inductance-capacitance THz antenna Wide-bandwidth https://repository.horizon.ac.id/files/original/40a3a7e8e43f32e3b84d7a6738b17d50.pdf 88e3e33b2e4d34ff70eced8b2f07f6cd 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. 23, NO.4 2025 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 Energy analysis and comparative study of n-wheel graphs in hierarchical wireless sensor network architectures Subject The topic of the resource Color energy Eigenvalues Energy of a graph Laplacian energy Maximum degree energy Wheel graph Description An account of the resource The energy analysis of the newly introduced n-wheel graph, employs diverse matrix representations such as the adjacency matrix, Laplacian matrix, and maximum degree matrix. This novel graph model resembles a hierarchical wireless sensor network (WSN), with a central hub serving as the communication center. The graph is organized into cycles, reflecting tiers of devices or sensors, with the hub managing wireless communication across these tiers. Through comparative analysis of energy variations, particularly focusing on ordinary energy, Laplacian energy, and maximum degree energy, offers a deeper understanding on the potential benefits of the n-wheel graph model, guiding future research and practical applications in the design of advanced hierarchical network structures. Creator An entity primarily responsible for making the resource Jerlinkasmir Rubancharles1, Naseema Valiyaveettil Abdul Lathief2, Veninstine Vivik Joseph1 Source A related resource from which the described resource is derived Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource May 10, 2025 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 https://repository.horizon.ac.id/files/original/8813b1117a74c8e4a3517c9c16badf27.pdf 1633b4603d2742180000c1998e927609 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. 23, NO.4 2025 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 Fuel consumption prediction of civil air crafts using deep learning: a comparative study Subject The topic of the resource Aircraft trajectory prediction Deep neural networks Mutual information feature selection Prediction of jet fuel consumption Recurrent neural networks Description An account of the resource Accurate fuel consumption prediction is critical for minimizing the adverse impact of fuel emissions on the environment, conserving fuel, and reducing flight costs. Additionally, precise fuel forecasting enhances trajectory prediction and supports effective air traffic management. This study evaluates the predictive performance of two deep learning techniques in predicting the fuel consumption of a civil aircraft belonging to Airbus A320NEO. Based on the analysis, the findings show that the deep neural network (DNN) model has better score of indicators and than the recurrent neural network (RNN) including mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE) and R-squared (R2). By integrating an automated feature selection approach with an optimized deep learning framework, this research contributes to the development of a robust and efficient predictive system for fuel consumption. The findings have practical implications for improving fuel management strategies in aviation, leading to cost savings and reduced emissions. One limitation of this study is its reliance on specific environmental variables, which may limit the model’s generalizability across different flight conditions, aircraft types, and operational scenarios. Creator An entity primarily responsible for making the resource Quoc Hung Nguyen, Hoang Lan Nguyen Date A point or period of time associated with an event in the lifecycle of the resource May 10, 2025 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 Aircraft trajectory prediction Deep neural networks Mutual information feature selection Prediction of jet fuel consumption Recurrent neural networks https://repository.horizon.ac.id/files/original/20be3e8558df4d73cd4f950af0d62275.pdf 40b1915e74da5706bc1523ab3730ed21 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. 23, NO.4 2025 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 Outlier detection and clustering of fifth-generation wireless channel model datasets Subject The topic of the resource 5G Channel model Clustering Multipaths Outlier Description An account of the resource The fifth-generation (5G) wireless communications system offers faster data rates, lower latency, and more interconnecting devices. Various 5G channel models were developed to study its stochastic characteristics before implementation. These channel models generate multipath components that are grouped into clusters. The multipath clusters serve as datasets in multipath clustering. The clustering results are then used to examine the propagation properties of the 5G system. However, datasets are prone to outliers. They tend to affect clustering accuracy. Hence, this study clusters the datasets generated by the channel models using five clustering approaches, removes the outliers using mean-shift outlier detection, and clusters the datasets free of outliers again using the same clustering algorithms. Outlier detection shows that 5G channel model datasets contain noise, and outlier removal improves the modeling characteristics, as demonstrated by enhanced clustering accuracy. Results show that most of the outliers are detected in the 2×SD threshold. The removal of the outliers using the said threshold increased the clustering accuracy of K-means and AC-Single in Semi-Urban B1 LOS multiple links by 78.85% and 55%, respectively, and DBSCAN in Semi-Urban B2 LOS multiple links by 57.14%. Outlier detection and removal also work well with 5G channel model datasets. Creator An entity primarily responsible for making the resource Jojo Blanza1, John Bernard Cipriano2 Source A related resource from which the described resource is derived Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource May 10, 2025 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 5G Channel model Clustering Multipaths Outlier https://repository.horizon.ac.id/files/original/97b371bd4774b53daae3d4f057bc2070.pdf d0535b4d94ffd928f635e674ee99c357 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. 23, NO.4 2025 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 An extensive framework for assessing the quality of websites Subject The topic of the resource Web contexts Web quality assessment systems Web quality computing methods Web quality frameworks Web quality parsers and expert systems Description An account of the resource The quality of the website is quite important in generating customer satisfaction and loyalty. A website’s quality depends on several factors, features, and characteristics. Several computational methods are necessary to evaluate the quality of each factor and subsequently determine the overall quality of the entire website. Each factor does not contribute to the same level of quality required by the end users and thus requires a weighting system. Expert systems, which are either manually defined or learnt using artificial intelligence (AI), are to be modelled for assessing the quality of a factor/sub-factor or characteristics of a sub-factor. The quality of a website varies depending on the context. Context-based quality assessment of the websites is required. There is a need to generate example sets to assess the quality of websites and to establish relationships between web-related quality factors, subfactors, and characteristics. In this paper, a comprehensive framework is presented that caters to parametric structure building and mapping, parsers for computing characteristic values, context assessment, building expert systems, and learning models for assessing the quality of websites and weighing the factors that have specific significance on the quality of the website Creator An entity primarily responsible for making the resource Sasi Bhanu Jammalamadaka1, Bala Krishna Kamesh Duvvuri2, Sastry Kodanda Rama Jammalamadaka3, Vishnu Priya Biyyapu3 Source A related resource from which the described resource is derived Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource May 26, 2025 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 Web contexts Web quality assessment systems Web quality computing methods Web quality frameworks Web quality parsers and expert systems https://repository.horizon.ac.id/files/original/2e9592556f160a138562409e1540ef8e.pdf b75d9ecc3d18bd73d6cf32b1d881fa07 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. 23, NO.4 2025 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 Grid search vs Bayesian optimization for intensity scoring classification and channel recommendation prediction Subject The topic of the resource Bayesian optimization Channel recommendation Collection intensity scoring Grid search K-nearest neighbors Random forest Description An account of the resource Technological advancement has spurred financial technology growth, transforming traditional financial operations into digital. Peer-to-peer (P2P) lending is a key fintech solution offering online loans, though it struggles with repayment issues due to customer financial instability. To overcome these challenges, XYZ is a startup that focuses on enhancing the efficiency of collections and communication with customers. XYZ necessitates the implementation of a collection intensity scoring (CIS) model and a prediction model for interaction on recommended communication channels in order to optimize the collection process. This study evaluates the performance of grid search and Bayesian optimization on random forest (RF) classification models and K-nearest neighbors (KNN) regressor prediction models. RF and KNN regressor algorithms optimization are necessary to enhance their performance in CIS classification and channel recommendation prediction. The research stages follow the cross industry standard process-data mining (CRISP-DM) framework, which consists of business understanding, data understanding, data preparation, modeling, and evaluation. The model performance is assessed by accuracy and mean absolute error (MAE). The results of this study show that Bayesian optimization surpasses grid search, enhancing the accuracy of the RF model to 98.34% and reducing the MAE of the KNN regressor model to 0.24530. Creator An entity primarily responsible for making the resource Kelly Mae, Dinar Ajeng Kristiyanti Source A related resource from which the described resource is derived Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource May 10, 2025 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 Bayesian optimization Channel recommendation Collection intensity scoring Grid search K-nearest neighbors Random forest https://repository.horizon.ac.id/files/original/6a2fcf84cc774d5e4a591d9c6290aba1.pdf c5fcde7e1d71e6a591768a4145cbb242 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. 23, NO.4 2025 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 High-speed dividing device with the formation of quotient and remainder Subject The topic of the resource Hardware division Integers Performance Quotient Remainder Description An account of the resource Considered the possibility of accelerating the time-critical operation of division for multi-bit integers. This problem is significant since, so multi-bit integers are widely used in specialized devices, including cryptographic transformations. A method for high-speed quotient and remainder determination with optimal hardware costs is proposed. A preliminary increase in the divisor and its subsequent decrease by shifting it to the right are used. A structural diagram and functional diagram of the hardware implementation have been developed using high-speed combinational logic circuits. The device’s principle of operation, its step-by-step process, and specific examples illustrating its correct operation and resource efficiency are addressed. On average, it takes (k/2+1) clock cycles to obtain the result, where (k+1) bit capacity of the quotient. In most division schemes with optimal hardware costs, the number of clock cycles required to obtain the quotient (without remainder) is (k+1). High-speed division with simultaneous determination of several quotient bits requires (m/p) clock cycles for the division operation, where p- the number of simultaneously determined quotient bits, m-bit capacity of dividend. However, this approach will require additional hardware. The research will continue by modeling the device in Vivado Design Suite computer aided design (CAD) based on Artix-7 field programmable gate array (FPGA) from Xilinx. Creator An entity primarily responsible for making the resource Yevgeniya Aitkhozhayeva, Khalicha Yubuzova Source A related resource from which the described resource is derived Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource May 10, 2025 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 Hardware division Integers Performance Quotient Remainder https://repository.horizon.ac.id/files/original/a83f343a01d88cbce7564546f6d294c1.pdf 5b69e7cff2a5adc25dfbbfe3638ddabd 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. 23, NO.4 2025 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 A new resonant-based sensor for non-invasive measurement of blood glucose levels Subject The topic of the resource Blood glucose level Dual-mode Microwave sensor Non-invasive Resonator Sensitivity Description An account of the resource This paper presents a rapidly developed non-invasive microstrip sensor for measuring blood glucose levels (BGLs). The sensor features a microstrip closed-loop square resonator integrated with an interdigital capacitor (IDC), creating a sensitive area for glucose detection when a patient’s finger is placed on it. Using odd and even mode analytical methods and transmission line theory, we analyzed the sensor’s performance. Results indicate that the second even mode demonstrates significant changes across a standard glucose concentration range. The sensor was designed and simulated in ANSYS high-frequency structure simulator (HFSS), showing a resonance frequency shift of up to 24.9 MHz at 1.94 GHz and a sensitivity of 110 kHz per mg/dL over a detection range of 0 to 216 mg/dL. Additionally, the frequency shift exhibits a high linear correlation (0.9485). In summary, the proposed sensor shows significant promise for achieving precise measurements of BGLs Creator An entity primarily responsible for making the resource Abolfazl Bijari, Faezeh Foolad, Mohammadreza Khorshidi Source A related resource from which the described resource is derived Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource May 26, 2025 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 Blood glucose level Dual-mode Microwave sensor Non-invasive Resonator Sensitivity