1 10 28 https://repository.horizon.ac.id/files/original/8062b56d190daca89fc018868254d31e.pdf aa465e31eef2bfb72aac97744b27483d 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. 22, NO.6 2024 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 Gilbert cell down-conversion mixer for THz wireless communication with passive baluns Subject The topic of the resource 6G Active down-converter Balun Gilbert mixer PH15NHF Description An account of the resource This article presents the design of an active down-conversion mixer for the superheterodyne receiver system for 6G wireless communications. Creator An entity primarily responsible for making the resource Abdeladim El Krouk1, Abdelhafid Es-Saqy2, Mohammed Fattah1, Said Mazer2, Mahmoud Mehdi3, Moulhime El Bekkali2, Catherine Algani4 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Sep 6, 2024 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/6247da992f9832b9bc928f0ae6962927.pdf 5039b604175cb09d58b1d59a9d4c2156 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. 22, NO.6 2024 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 Compact miniaturized antenna design and development for a leadless cardiac pacemaker Subject The topic of the resource Biotelemetry Miniaturized antenna Pacemaker Specific absorption rate Ultra-wideband Description An account of the resource Biomedical antennas play a crucial role in implantable medical telemetry, improving patient monitoring and overall well-being. This study presents a compact antenna designed for a lead-free pacemaker, with dimensions of 3.3×4×0.5 mm³. Miniaturization required open cuts in the ground plane and radiating patch, as well as a localized resistance element. The antenna features an exceptional bandwidth of 1646.8 MHz (1.0602-2.7070) GHz, guaranteeing constant performance in the human body. It covers the industrial, scientific and medical bands (ISM, 2.4-2.48 GHz) and ultra-high frequencies (UHF, 0.3-13 GHz). Simulation in a phantom produced a gain of -19.78 dBi at 2.45 GHz and -34.44 dBi at 1.2 GHz. Safety was confirmed by a specific absorption rate (SAR) study using a cardiac model. The antenna’s low SAR (10 g-Avg) enabled maximum input powers to be established: 20.2 mW at 1.2 GHz and 21.23 mW at 2.45 GHz. Comparative simulations using high-frequency structure simulator (HFSS) and computer simulation technology (CST) highlighted the antenna’s superiority over recent systems, demonstrating its effectiveness in the human heart. This antenna represents an advanced solution for improving patient care. Consequently, this antenna emerges as an advanced solution for addressing infectious diseases and cardiovascular conditions in the realm of medical advancements. Creator An entity primarily responsible for making the resource Abdelmouttalib Bousrout1, Asma Khabba2, Saida Ibnyaich2, Tomader Mazri1, Mohamed Habibi3, Tole Sutikno4 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Aug 5, 2024 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 Biotelemetry Miniaturized antenna Pacemaker Specific absorption rate Ultra-wideband https://repository.horizon.ac.id/files/original/77d6ad9d165c0d9e9c537dc48a83f026.pdf 3e2708b6068e4111e40f9112bef60740 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. 22, NO.6 2024 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 Performance of piezoelectric energy harvesters at various angles Subject The topic of the resource Cantilever vibration Configuration angle effect Microelectronic power supply Micro-windmill Piezoelectric energy harvester Description An account of the resource Piezoelectric materials are capable of generating electricity in response to mechanical strain, making them suitable for energy harvesting applications. Piezoelectric energy harvesters (PEHs) are promising alternatives for renewable energy generation, particularly because mechanical strain can be induced in various ways, including utilizing wind flows. This study investigates the performance of a PEH integrated with a laboratory-scale wind-driven micro-windmill. The experiment is carried out by rotating blades of the windmill intermittently; thus, it contacts the PEH, inducing oscillatory motion and generating strain, which finally produces electricity. The configuration angle is varied with 30°, 45°, and 60° to produce variation of power output analyzed in this study. The results demonstrate that a lower configuration angle, specifically 30°, produces the highest voltage near 1.4 V. This is due to the alignment of the applied force with the natural bending direction of the cantilever, resulting in greater induced strain and increased voltage output. Conversely, increasing the configuration angle reduces the effectiveness of force induced to PEH, diminishing strain induction and electrical generation, which only about 1.2 V. The finding of this study can potentially contribute to advance the design and optimization of PEHs for renewable energy applications, particularly in powering microelectronic devices. Creator An entity primarily responsible for making the resource Adhes Gamayel1, Mohamad Zaenudin1, Djoko Setyo Widodo2 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 Oct 19, 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 Cantilever vibration Configuration angle effect Microelectronic power supply Micro-windmill Piezoelectric energy harvester https://repository.horizon.ac.id/files/original/c19df6e4efb88904403a6e10d2a3adf0.pdf d80c5325c4719de6c9b05e4292ceba87 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. 22, NO.6 2024 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 Light weight dual polarized horn antenna for polarimetry C-band synthetic aperture radar sensor onboard UAV Subject The topic of the resource Circular polarized Dual polarized Horn antenna Synthetic aperture radar Unmanned aerial vehicle Description An account of the resource Unmanned aerial vehicles (UAVs) can collect earth surface information with synthetic aperture radar (SAR) sensors during night, day, and bad weather. However, UAVs have only limited volume and weight for the SAR payload. A very light dual circularly polarized pyramid horn antenna was developed in order to improve sense capability in UAV dual polarimetry SAR images. The pyramid horn was designed and simulated in computer simulation technology (CST) 2022. The horn was capable of producing two circular polarizations right-hand circular polarization (RHCP) and left-hand circular polarization (LHCP) alternately using a three stepped septum polarizer and coaxial probe feed on two sides of the waveguide. The results show that the horn antenna was capable of having a wide S11 and S22 bandwidth from 4 GHz to 6.7 GHz. The horn was capable of producing two circular polarizations with an axial ratio below 3 dB from 4.4 GHz to 6.4 GHz. This gain horn antenna was relatively stable in the range of 15 dBiC with a reasonably narrow 3 dB beamwidth of 28° both RHCP and LHCP polarisation in E and H fields respectively. Creator An entity primarily responsible for making the resource Agus Hendra Wahyudi1, Farohaji Kurniawan1, Bambang Setiadi2, Agus Wiyono1, Satria Arief Aditya1, Wahyu Widada3, Efendi Dodi Arisandi4 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Jul 12, 2024 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/910b9744b85cae133a6becea39540701.pdf 2645abe470bcba0c16a4e40f1a435fab 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. 22, NO.6 2024 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 Modeling and optimization of artificial magnetic conductor on the performance of on-chip-antenna for 28 GHz devices Subject The topic of the resource Efficiency Gain Patch gap Patch width Response surface method Substrate height Description An account of the resource The growing popularity of chip-based devices has spurred interest in developing on-chip antennas (OCAs). However, low gain and poor radiation characteristics have been significant challenges. Integrating an artificial magnetic conductor (AMC) into the oxide layer is an alternative. This article presents a new AMC model that improves the performance of 28 GHz OCA using dual-rectangular-patch (DRP) as unit cells. The DRP parameters, patch width (Pw), patch gap (Pg), and substrate height (hs) were used to control the AMC characteristic. Two numerical equations for gain (G) and efficiency (η) have been developed to evaluate the new model’s performance. The impact of parameters on the antenna’s gain and radiation efficiency was equally analyzed. A prototype antenna was fabricated and tested to validate the model. It demonstrated a peak gain of 3.69 dB and radiation efficiency of 67.18%, with an achieved impedance bandwidth of 1.27 GHz, making it well-suited for 28 GHz device applications. Furthermore, the equations formulated provide the research community with a straightforward method to calculate the gain and efficiency of a 28 GHz antenna. This method is not limited to OCA but can also be applied to off-chip antennas if DRP-AMC is implemented. Creator An entity primarily responsible for making the resource Ahmadu Girgiri1, Mohd Fadzil Ain1, Mohd Zamir Pakhuruddin2, Mohamad Faiz Mohamed Omar3,4, Bello Muhammad Abdullahi1 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Sep 20, 2024 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 Efficiency Gain Patch gap Patch width Response surface method Substrate height https://repository.horizon.ac.id/files/original/0141fb935762f63737a77c613e498fb0.pdf 2db0e983c3287496066dbe876e91e852 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. 22, NO.6 2024 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 Utilizing linear regression and random forest models for money laundering identification Subject The topic of the resource Accuracy Linear regression Money laundering Precision Random forest Recall Description An account of the resource This paper investigates the effectiveness of traditional machine learning techniques, namely linear regression and random forest (RF), in enhancing the detection of money laundering (ML) activities within financial systems. As ML schemes evolve in complexity, traditional rule-based methods struggle with high false favorable rates and a lack of adaptability, prompting the need for more sophisticated analytical approaches. In contrast to the complexities of deep learning models, this study explores the potential of these more accessible machine learning methods in identifying and analyzing suspicious transactional patterns. We apply linear regression and RF models to transactional data to detect anomalous activities that could indicate ML. Our research thoroughly compares these models based on key performance metrics such as accuracy, precision, and recall. The findings suggest that while less complex than deep learning frameworks, linear regression, and RF models offer substantial benefits. They provide a more streamlined, interpretable, and efficient alternative to conventional rule-based systems in the context of ML detection. This study contributes to the ongoing discourse on the application of machine learning in financial crime detection, demonstrating the practicality and effectiveness of these methods in a critical area of financial security. Creator An entity primarily responsible for making the resource Ammar Odeh, Anas Abu Taleb Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Aug 5, 2024 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 Accuracy Linear regression Money laundering Precision Random forest Recall https://repository.horizon.ac.id/files/original/6716132f7b8f46fbed6a7d963a230203.pdf 9a27b9c7995a405e0e7f2e92a040b50d 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. 22, NO.6 2024 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 Impact study on indirect lightning strikes on photovoltaic systems near transmission lines Subject The topic of the resource Current density Electromagnetic Field intensity Lightning strike Photovoltaic module Description An account of the resource Grid-integrated photovoltaic (PV) systems are currently undergoing explosive growth in Malaysia. However, as more PV systems are installed close to transmission lines, there are concerns about the impact of electromagnetic (EM) properties affecting the performance and operation of the PV systems if they are exposed to lightning strikes, particularly indirect ones. Therefore, this study aims to model the impact of indirect lightning strikes on PV systems installed in proximity to transmission lines. The model involves developing a 3D model of the PV system together with a sample transmission line and creating an artificial lightning event to study the EM activity within the area. The results are compared to the IEC 61000 standard to determine its level of r\hazard. From the simulation results, it was found that the current intensity, H, of the disturbance, can reach up to 63% more than the standard limit stipulated in the standards. The significance of the study ensures that PV systems installed within the vicinity of power lines or substations have adequate lightning protection systems (LPS) as well as proper earthing systems. Creator An entity primarily responsible for making the resource Anis Niza Ramani1, Rayyan Che Razali2, Aine Izzati Tarmizi1 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Aug 27, 2024 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 Current density Electromagnetic Field intensity Lightning strike Photovoltaic module https://repository.horizon.ac.id/files/original/1a8f1dcee96dc046730da7b02062f38d.pdf 0e14b837ccd92aa78e1c449557fb0674 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. 22, NO.6 2024 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 Research on intelligent river water quality management system using blockchain-internet of things Subject The topic of the resource Blockchain-internet of things Data transparency Decentralized data-management Real-time monitoring Water Water quality Description An account of the resource Each and every living thing needs fresh water to survive. Fresh water is becoming a precious resource as a result of the combined risks of rapid urbanization, pollution, and climatic changes. The quality of the water we drink every day has an impact on our lives, either directly or indirectly. Maintaining the sustainability and health of the environment requires constant attention to water quality. Modern technology makes it possible to gather and analyze data from water distribution networks in order to maximize resources and enhance decision-making for all parties. Despite the enormous global growth of the internet of things (IoT) and blockchain in recent years, their integration is still in its early stages. In this research contains a technological framework that combines blockchain and IoT called B-IoT and aims to reward and incentivize more sustainable water quality management with real-time monitoring and security. IoT is used to monitor water quality in water resources and find any violations. By using blockchain, it is possible to retain the accuracy, reliability, and transparency of the records of breaches. This system will be able to gauge the water’s quality in real-time and allow for the quick identification of any infractions necessary to commit the crime. Creator An entity primarily responsible for making the resource Anitha Roy1,2, Jubilant J Kizhakkethottam3 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Aug 30, 2024 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 Blockchain-internet of things Data transparency Decentralized data-management Real-time monitoring Water Water quality https://repository.horizon.ac.id/files/original/22f2e7dde988e8e43e353a0fbdd7a28c.pdf 11526e11c05d796e15bebd8db6cfab72 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. 22, NO.6 2024 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 Bayes estimation of a two-parameter exponential distribution and its implementation Subject The topic of the resource Employees Exponential distribution Jeffrey’s prior Linear exponential Type I censored Description An account of the resource Life test data analysis is a statistical method used to analyze time data until a certain event occurs. If the life test data is produced after the experiment has been running for a set amount of time, the life time data may be type I censored data. When conducting observations for survival analysis, it is anticipated that the data would conform to a specific probability distribution. Meanwhile, to determine the characteristics of a population, parameter estimation is carried out. The purpose of this study is to use the linear exponential loss function method to derive parameter estimators from the exponential distribution of two parameters on type I censored data. The prior distribution used is a non-informative prior with the determination technique using the Jeffrey’s method. Based on the research results that have been obtained, application is carried out on real data. This data is data on the length of time employees have worked before they experienced attrition with a censorship limit based on age, namely 58 years, obtained from the Kaggle.com website. Based on the estimation results, the average length of work for employees is 6.29427 years. This shows that employees tend to experience attrition after working for a relatively long period of time. Creator An entity primarily responsible for making the resource Ardi Kurniawan, Johanna Tania Victory, Toha Saifudin Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Aug 5, 2024 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/8998cc22af369104fce8b5d6ed6d345a.pdf 367eb31ab3cd97bd7d0cc046af29b306 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. 22, NO.6 2024 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 The game model of investing in the academic cloud Subject The topic of the resource Academic cloud Fuzzy information Investing Multistep quality game Optimal strategy Preference set Description An account of the resource The article analyzes approaches to the use of cloud technologies in the process of teaching students at large universities. The model of the academic cloud of a modern university is considered. Examples of software and functional platforms that meet the needs of students in electronic learning resources are given. The deployment models of the cloud-oriented educational environment that includes private cloud infrastructure as a service (IaaS) and platform as a university service are analyzed. The cost of deploying an academic cloud based on the educational institution’s infrastructure and renting infrastructure from a vendor is compared. A multifactorial model for evaluating investment options in the university cloud in the context of fuzzy information is proposed. In contrast to the known approaches to solving such a problem, our model assumes that the dynamics of the financial states of the players are set through a system of discrete equations. These equations describe the dynamics of multidimensional variables. The latter made it possible to consider the general problem of investing in the academic cloud within the framework of a game scheme for tasks in a fuzzy formulation, with the financial resources (FR) available to the educational institution. Preference sets and optimal financial allocation strategies for building an academic cloud are found. Creator An entity primarily responsible for making the resource Bakhytzhan Akhmetov1,4, Valery Lakhno1, Nurzhamal Oshanova2, Volodimir Malyukov1, Zhuldyz Alimseitova3,4, Aliza Turgynbayeva4,5, Inna Malyukova1, Miroslav Lakhno1 Source A related resource from which the described resource is derived Journal homepage: http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Sep 6, 2024 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 Academic cloud Fuzzy information Investing Multistep quality game Optimal strategy Preference set