2 10 26 https://repository.horizon.ac.id/files/original/e2b68fa2396d745146d1909e6b5a3d27.pdf e563ef938ed81c0b2e3021d6727a01cb 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.2 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 Homogeneous transformation matrix for force-torque sensor orientation compensation in rotatable control handle Subject The topic of the resource Force-torque sensor Homogeneous transformation matrix Multi-degree of freedom systems Power assist technologies Rotatable control handle Sensor orientation compensation Description An account of the resource The high inertia ceiling suspended systems with multiple degrees of freedom uses power assist technologies to reduce operator’s burden to operate the machine. Such systems are popularly used in medical diagnostic systems, construction machines, material handling, automotive, and aerospace assembly lines. These systems commonly use multi-axis force-torque (FT) sensor to sense the forces applied by user on rotatable control handle. These sensed forces are utilized by power assist algorithm to drive system in required direction with the help of electrical motor drives. The rotatable control handle used to control the machine poses a significant obstacle for maintaining alignment between FT sensor co-ordinate frame and the system’s base frame. This research paper focuses on the development of homogeneous transformation matrix to compensate for any change in FT sensor orientation caused by rotation of control handle. The homogeneous transformation matrix developed in this research paper, transforms the force and torque values measured by FT sensor with respect to system base frame. This adaptive technique provided seamless control of the power assist ceiling suspended system from different directions during handling and movement. This helped to enhance control and flexibility of power assist ceiling suspended system. Creator An entity primarily responsible for making the resource Shivam Suresh Zagade1,2, Rajiv Basavarajappa1, Sudhir Madhav Patil1, Abhishek Pradeep Buzruk2, Kshitij Ghanshyam Jiwane2, Tole Sutikno3,4 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 Jan 22, 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 Force-torque sensor Homogeneous transformation matrix Multi-degree of freedom systems Power assist technologies Rotatable control handle Sensor orientation compensation https://repository.horizon.ac.id/files/original/cbf080422f9662abf8debee51c697c29.pdf c4cef10ddf4aa2b744d40443a9cc0371 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.2 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 Improving visual perception through technology: a comparative analysis of real-time visual aid systems Subject The topic of the resource Accessibility Assistive technology Benchmarking Deep learning Point of interest detection Visually impaired Description An account of the resource Visually impaired individuals continue to face barriers in accessing reading and listening resources. To address these challenges, we present a comparative analysis of cutting-edge technological solutions designed to assist people with visual impairments by providing relevant feedback and effective support. Our study examines various models leveraging InceptionV3 and V4 architectures, long short-term memory (LSTM) and gated recurrent unit (GRU) decoders, and datasets such as Microsoft Common Objects in Context (MSCOCO) 2017. Additionally, we explore the integration of optical character recognition (OCR), translation tools, and image detection techniques, including scale-invariant feature transform (SIFT), speeded-up robust features (SURF), oriented FAST and rotated BRIEF (ORB), and binary robust invariant scalable keypoints (BRISK). Through this analysis, we highlight the advancements and potential of assistive technologies. To assess these solutions, we have implemented a rigorous benchmarking framework evaluating accuracy, usability, response time, robustness, and generalizability. Furthermore, we investigate mobile integration strategies for real-time practical applications. As part of this effort, we have developed a mobile application incorporating features such as automatic captioning, OCRbased text recognition, translation, and text-to-audio conversion, enhancing the daily experiences of visually impaired users. Our research focuses on system efficiency, user accessibility, and potential improvements, paving the way for future innovations in assistive technology. Creator An entity primarily responsible for making the resource Othmane Sebban1, Ahmed Azough2, Mohamed Lamrini1 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 Jan 23, 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 Accessibility Assistive technology Benchmarking Deep learning Point of interest detection Visually impaired https://repository.horizon.ac.id/files/original/0701f43da5e58654647a06d5ebf94f12.pdf 826b450ffa06414eb923ebff7761874e 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.2 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 Decision support system in machine learning models for a face recognition-based attendance system Subject The topic of the resource Attendance system Decision making Decision support system Face recognition Machine learning Description An account of the resource This research aims to develop a predictive model using face recognition-based attendance data and integrating decision support system (DSS) theory with machine learning (ML) techniques to identify high-performing teachers at vocational high schools (SMKs). The novelty of this research lies in integrating theory with the use of face recognition data and ML algorithms to predict and identify high-performing teachers, thereby enhancing decision-making processes and teacher performance management in SMK schools. The dataset consists of SMK teachers' attendance data obtained through a face recognition attendance system, totaling 998 entries. This research employs sensitivity analysis concepts from DSS theory and classification approaches from ML models utilizing support vector machine (SVM), decision trees (DT), and random forest (RF). The models are trained and tested on Google Colab using Python, with data distribution guided by the Pareto principle. The research findings indicate that integrating DSS theory with ML contributes to innovation and benefits in improving decision-making and teacher performance management by successfully predicting high-performing teachers. Evaluation results show the highest accuracy rate of 98% with the RF model, making it the best predictive model compared to the other two models. Creator An entity primarily responsible for making the resource Joseph Teguh Santoso1,2, Danny Manongga2, Hendry2 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 Dec 26, 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 Attendance system Decision making Decision support system Face recognition Machine learning https://repository.horizon.ac.id/files/original/aca7fbb70736d693042b1483cbafc135.pdf 08db2e06b253480fb0b6355a723e109e 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.2 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 Challenges in the technological adoption of document management systems Subject The topic of the resource Behavioural intention Document management system Effort expectancy Public administration Unified theory of acceptance and use of technology Description An account of the resource Incorporating information and communication technologies (ICT) in public organisations in keeping with digital government policies and access to ICT by citizens motivates public institutions to implement systems to provide better services to citizens. One of the most essential public services is the documentary process, which includes document management systems (DMSs) storing, organising, and managing the documentary flow. The acceptance and use of a DMS enabling digital signature in public institutions depends to a certain extent on a set of factors influencing user behaviour towards it. This paper reports the findings of a quantitative, cross-sectional, and correlational study examining the behavioural intention (BI) to use a DMS, employing three constructs of the unified theory of acceptance and use of technology (UTAUT). The research involved 998 workers from public institutions who participated in a survey, with quantitative data analysed using Spearman correlation. The results show that performance expectancy (PE), effort expectancy (EE), and social influence (SI) positively correlate with the BI to use a DMS and thus must be considered as relevant factors in DMS implementation in public institutions. The results provide relevant information to policymakers and DMS managers to promote the adoption of DMS in the digital transformation process that organisations are experiencing. Creator An entity primarily responsible for making the resource Sussy Bayona-Oré, Marlene Reyes 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 Jan 22, 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/6650540a2bee8c812d5b7ffb9e20e6b5.pdf 307943f22903ee036ab0428bf858d448 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.2 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 Human–robot collaboration with mixed reality for interactive and safe workspaces Subject The topic of the resource Human–robot collaboration Mixed reality Real-time interaction Spatial path Voronoi algorithm Description An account of the resource Realizing seamless collaboration between humans and robots in shared workspaces requires advanced systems that can ensure safety and efficiency while considering the inherent unpredictability of human movement. This paper proposes a system that integrates mixed reality (MR) and robotics through a unified coordinate system to facilitate real-time interaction and collaboration. By leveraging a MR interface, human collaborators can visualize and interact with the projected paths of the robotic arms, thereby enhancing both spatial awareness and task coordination. The proposed system adapts the robot’s movement path dynamically using the Voronoi diagram algorithm to modify trajectories in response to the detection of a human hand within a predefined caution zone. This mechanism reduces the risk of collisions, which ensures safer collaborative environments. The proposed system’s ability to exchange motion information between the operator and the robot supports real-time adjustments and promotes an intuitive and efficient collaborative experience. Our findings suggest that integrating MR technology in human–robot collaboration systems can improve safety protocols and operational fluidity dramatically, thereby representing a significant step forward in the development of safe, efficient, and effective interactive robot systems. Creator An entity primarily responsible for making the resource Sanghun Nam 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 Dec 26, 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/6d44aab05c9b9b41b421c821abcf33ee.pdf 38b3dacc5c7ccf115ae00245882d1171 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.2 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 Analyzing the impact of sports activity intensity on muscle capacity through integrated biosensor technology Subject The topic of the resource Biosensors Electromyography Integrated Muscle Sport activity Description An account of the resource In the past few years, biosensor technology has paved the way for new insights into the physiological effects of physical exercise. Quantitative analysis, especially in the case of muscle capacity measurement, is the focus of studies to assess the impact of sports activities. Therefore, this study examines the impact of sports activity intensity on muscle capacity using an integrated biosensor system developed at Bandung State Polytechnic. Surface electromyography (sEMG) measurements were conducted on 30 participants aged 20–25 during various sports activities. Results showed a strong positive correlation (r=0.814) between sports activity frequency and muscle contraction, suggesting higher activity correlates with increased muscle activity. Conversely, the correlation during muscle relaxation was low (r=0.261), indicating independence from sports activity. In the future, it is expected that integrated biosensors will have the ability to concurrently measure and monitor various parameters like heart rate (via electrocardiogram), blood oxygen levels (via photoplethysmography), and blood pressure. The integrated biosensor system allows for comprehensive assessment and optimization of sports performance and injury prevention strategies. Creator An entity primarily responsible for making the resource Ervin Masita Dewi1, Nurista Wahyu Kirana1, Sugondo Hadiyoso2 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 Dec 26, 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 Biosensors Electromyography Integrated Muscle Sport activity https://repository.horizon.ac.id/files/original/12a17b0d222b3507b6656bba87c38fb8.pdf 66ad3ac3e56b1629abbd48a2fe3d06f8 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.2 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 Dual band antenna design for 4G/5G application and prediction of gain using machine learning approaches Subject The topic of the resource 4G/5G Gain prediction Industrial and innovation Machine learning Microstrip patch antenna Description An account of the resource In this research, we disclose our findings from exploring a machine learning (ML) approach to enhancing the antenna’s performance in Industrial and Innovation contexts, particularly for4G and 5G (n77, n78) contexts. Methods for evaluating antenna performance utilizing simulation, the resistor, inductor, and capacitor (RLC) equivalent circuit model, and ML are discussed. Gain is a maximum of 6.56 dB and efficiency is about 97% for this antenna. The predicted antenna gain is calculated using an alternative supervised regression ML technique. Multiple measures, including as the variance score, R-square (R2), mean square error (MSE), and mean absolute error (MAE), can be used to assess an ML model’s performance. The linear regression (LR) model predicts profit with the fewest errors and highest accuracy of the five ML models. Finally, computer simulation technology (CST) and advanced design system (ADS) modeling findings, along with ML results, show that the proposed antenna is a promising option for 4G and 5G applications. Creator An entity primarily responsible for making the resource Narinderjit Singh Sawaran Singh1, Md. Ashraful Haque2, Redwan A. Ananta2, Md. Sharif Ahammed2, Md. Abdul Kader Jilani4, Liton Chandra Paul3, Rajermani Thinakaran1, Malathy Batumalay1, JosephNg Poh Soon1, Deshinta Arrova Dewi1 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 Jan 13, 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/0890e2db477f0edc1b4acd317ca75940.pdf 5c6cbeff52d2d29e64971df9675057b1 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.2 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 Enhancing terahertz patch antenna performance with metamaterials for biomedical applications Subject The topic of the resource Biomedical applications High frequency structure simulator Metamaterials Patch antenna Terahertz Description An account of the resource This paper presents the performance enhancement of a terahertz (THz) patch antenna using the metamaterials (MTM). The antenna design features a rectangular patch with a modified ground structure, implemented on an FR4 substrate with dielectric properties of 4.4, a tan (δ) of 0.02, and a thickness of 1.6 μm. Operating at 4.92 THz, the antenna exhibits a -10 dB bandwidth of 0.25 THz (250 GHz), catering to diverse biomedical applications. To investigate the impact of incorporating MTM, the proposed MTM is positioned beneath the antenna at a separation of 12.8 μm. A comparative analysis of the antenna’s performance with and without MTM reveals a significant influence of MTM insertion. However, the results confirm the big influence of the addition of the MTM. As results, the return loss was improved from -23.16 dB to -44.73 dB. The gain was additionally elevated from 1.46 dB to 5.06 dB. The design and simulation of the antenna were carried out through high frequency structure simulator (HFSS) software. Creator An entity primarily responsible for making the resource Siraj Younes1, Foshi Jaouad1, Kaoutar Saidi Alaoui2 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 Dec 26, 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 Biomedical applications High frequency structure simulator Metamaterials Patch antenna Terahertz https://repository.horizon.ac.id/files/original/efe3cadfbc03687481da4ff60c07302a.pdf bc8cbcad5e4f9ff3c60b60c2d9a2e8c0 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.2 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 Comparison of word embedding features using deep learning in sentiment analysis Subject The topic of the resource Deep learning Sentiment analysis Social media Text classification Word embedding Description An account of the resource In this research, we use several deep learning methods with the word embedding feature to see their effect on increasing the evaluation value of classification performance from processing sentiment analysis data. The deep learning methods used are conditional random field (CRF), bidirectional long short term memory (BLSTM) and convolutional neural network (CNN). Our test uses social media data from Netflix application user comments. Through experimentation on different iterations of various deep learning techniques alongside multiple word embedding characteristics, the BLSTM algorithm achieved the most notable accuracy rate of 79.5% prior to integrating word embedding features. On the other hand, the highest accuracy value results when using the word embedding feature can be seen in the BLSTM algorithm which uses the word to vector (Word2Vec) feature with a value of 87.1%. Meanwhile, a very significant change in value increase was obtained from the FastText feature in the CNN algorithm. After all the evaluation processes were carried out, the best classification evaluation results were obtained, namely the BLSTM algorithm with stable values on all word embedding features. Creator An entity primarily responsible for making the resource Jasmir1, Errissya Rasywir2, Herti Yani3, Agus Nugroho2 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 Jan 22, 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/521c04989adceed40ae2f780d3058be2.pdf a1cc1459f9be1589ce3b8d745d8c9bfb 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.2 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 Comparing global system for mobile and G-NetTrack signal strength in drive test study Subject The topic of the resource Global positioning system network track Global system for mobile module Kolmogorov-Smirnov Mann-Whitney Normality test Received signal strength indicator Description An account of the resource The quality of wireless signals is determined by the received signal strength indicator (RSSI), which can be measured using various tools, including Android apps and global system for mobile (GSM) modules. To enhance the measurement of signal quality and communication reliability, this study aimed to develop a complementary instrument consisting of a microcontroller, global positioning system (GPS) module, GSM module, and microSD card. The firmware was developed using C++ code and compiled using the Arduino integrated development environment (IDE). In addition, this study utilized the Kolmogorov-Smirnov test (K-S test) normality and the Mann-Whitney U test to investigate any differences in RSSI quality between the GSM module and global positioning system network track (G-NetTrack). The results showed that the GSM module consistently produced higher RSSI values than G-NetTrack in most locations along the route. Furthermore, the K-S test normality suggested that the RSSI values obtained from both tools were not normally distributed, and the Mann-Whitney U test revealed a significant difference between the two samples, with G-NetTrack having lower values than the GSM module (U=14730, p<0.05). This study demonstrated that the GSM module provides stronger signal strength measurements than G-NetTrack during the drive test, and highlighted the importance of using appropriate statistical tests to analyze RSSI data. Creator An entity primarily responsible for making the resource Hollanda Arief Kusuma1, Dwi Eny Djoko Setyono2 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 Jan 22, 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