1 10 26 https://repository.horizon.ac.id/files/original/567b272c9ba61500071b5129793cfaa0.pdf 360a74bd7a901172c62c00aedb1c3d37 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.3 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 Indonesian continuous speech recognition optimization with convolution bidirectional long short-term memory architecture Subject The topic of the resource Bidirectional long short-term memory Continuous speech Convolution bidirectional long short-term memory Indonesian speech recognition Speech recognition Description An account of the resource Speech recognition can be defined as converting voice signals into text or lines of words by using algorithms implemented in computer programs. There are several types of speech recognition, including recognition for isolated word speech, continuous speech, spontaneous speech, and conversational speech. Research on continuous speech recognition, especially in Indonesian, has been developed using both stochastic methods such as Hidden Markov model (HMM) and deep learning methods. Currently, deep learning approaches are more widely used in speech recognition applications. This research optimizes Indonesian speech recognition by adding convolution layers to the bidirectional long short-term memory (Bi-LSTM) architecture. The goal of this research is to find the best architecture so that better Indonesian continuous speech recognition results can be obtained. The dataset used in this research was created by the intelligent systems research group in the Department of Informatics at Universitas Diponegoro. All speakers who participated in this dataset came from five ethnic groups in Indonesia, representing the dialects of their respective ethnic groups. The research results show that by adding a convolution layer to the Bi-LSTM architecture, speech recognition performance increases significantly with an average word error rate (WER) reduction of 15.56% compared to using only the Bi-LSTM architecture. Creator An entity primarily responsible for making the resource Sukmawati Nur Endah, Rismiyati, Priyo Sidik Sasongko, Anwar Petrus F. Naiborhu 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 Bidirectional long short-term memory Continuous speech Convolution bidirectional long short-term memory Indonesian speech recognition Speech recognition https://repository.horizon.ac.id/files/original/c0368798fd549273789cd573bb9c2606.pdf 016a3bbc857e1f7a0e7032138c8cf41a 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.3 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 Jacobian approximation of the Sum-Alpha stopping criterion Subject The topic of the resource Error correction Iterative decoding Log-MAP algorithm Stopping rule Turbo code Description An account of the resource This article will report the development of new application of the Sum-Alpha stopping criterion to the case of log – maximum a posterioru Log-MAP turbo decoding. It shows how to adapt Sum-Alphas quantities when using the Log-MAP algorithm and how to deduce a good decision threshold. We apply a logarithm to the quantity Sum-Alpha which is evaluated by the same Jacobian logarithm of the Log-MAP algorithm. We call this new adaptation Jacobian Approximation of Sum-Alpha (JASA) criterion. The simulation results demonstrate that the JASA criterion achieves comparable performance (in terms of bit error rate (BER) and frame error rate (FER)) to the Sum-Alpha and cross-entropy (CE) criteria, with the same average number of iterations. Creator An entity primarily responsible for making the resource Aissa Ouardi 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 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 Error correction Iterative decoding Log-MAP algorithm Stopping rule Turbo code https://repository.horizon.ac.id/files/original/236d6241ab7f6f1ad2d33b147c5cbb68.pdf a16b0d669268f9e2a06515145a93deba 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.3 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 Convolutional neural network-based real-time drowsy driver detection for accident prevention Subject The topic of the resource Convolutional neural network Deep learning Driver Drowsiness Lightweight convolutional neural network Description An account of the resource Drowsy driving significantly threatens road safety, contributing to many accidents globally. This paper presents a convolutional neural network (CNN)-based real-time drowsy driver detection system aimed at preventing such accidents, particularly for deployment in Android applications. We propose a lightweight CNN architecture that effectively identifies drowsiness and microsleep episodes by categorizing driver facial expressions into four distinct categories: close-eye expressions, open-eye expressions, yawns, and no yawns. Our model, which employs facial landmark detection and various pre-processing techniques to enhance accuracy, achieves an impressive 96.6% accuracy. This performance surpasses several popular CNN architectures, including VGG16, VGG19, MobileNetV2, ResNet50, and DenseNet121. Notably, our proposed model is highly efficient, with only 0.4 million parameters and a memory requirement of 1.51 MB, making it ideal for real-time applications. The comparative analysis highlights the superior balance between accuracy and resource efficiency of our model, demonstrating its potential for practical deployment in reducing accidents caused by driver fatigue. Creator An entity primarily responsible for making the resource Nippon Datta1, Tanjim Mahmud2, Manoara Begum3, Mohammad Tarek Aziz1, Dilshad Islam4, Md. Faisal Bin Abdul Aziz5, Khudaybergen Kochkarov6, Temur Eshchanov7, Valisher Sapayev Odilbek Uglu8, Sobir Parmanov9, Mohammad Shahadat Hossain10,11, Karl Andersson11 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 Convolutional neural network Deep learning Driver Drowsiness Lightweight convolutional neural network https://repository.horizon.ac.id/files/original/1e26547143b1517caad16e616a77bcf1.pdf c37f5b3b80f5d0978ed8d122ef2965df 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.3 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 compact triband patch antenna design at terahertz frequencies Subject The topic of the resource Ansys high frequency structure simulator Microstrip antenna Multiband antenna Slot Terahertz antenna Description An account of the resource The rapid evolution of terahertz (THz) technology has fueled an increasing demand for efficient, compact, and adaptable antennas that can function for a number of frequency bands in the THz spectral regime. This research outlines the analyses and design process of a multiband antenna for THz applications. Initially, an antenna with a single frequency band is created without any slot, with its lower resonant mode functions at a singular frequency of 171 GHz. To achieve multiband functionality, various rectangular slots can be added into the microstrip antenna’s radiating element. The suggested structure is constructed on a polyimide substrate, while its radiating elements are crafted from copper, with a compact size of 1.4×1.1×0.14 mm. It can achieve a reflection coefficient of −30.38 dB, −33.37 dB, and −19.33 dB at 123 GHz, 168 GHz, and 182 GHz, respectively. Furthermore, the antenna yields favorable gains at the respective frequencies, measuring 3.97 dB, 4.34 dB, and 5.66 dB for 0.123, 0.168, and 0.182 THz respectively. Additionally, the antenna demonstrates high efficiencies of 81.5%, 85%, and 91.2%, respectively. Hence, the suggested THz antenna will be useful for surveillance radar (123 GHz), medical imaging (168 GHz), and radio astronomy (182 GHz) applications. Creator An entity primarily responsible for making the resource Youssef Amraoui1, Imane Halkhams2, Rachid El Alami1, Mohammed Ouazzani Jamil2, Hassan Qjidaa2 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 Ansys high frequency structure simulator Microstrip antenna Multiband antenna Slot Terahertz antenna https://repository.horizon.ac.id/files/original/5b2069c11e29bf001c7e426cbc3b42ec.pdf 2060d49081e50eb1866f4a4e7315f4e0 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.3 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 Leveraging technology to improve tuberculosis patient adherence: a comprehensive review Subject The topic of the resource Advanced technologies Internet of things Medication Smart medicine bottle Tuberculosis Description An account of the resource Tuberculosis (TB) is a chronic disease that requires long-term treatment, generally for at least 6 to 9 months. Patients should follow the recommended treatment scheme regularly and completely. Poor adherence to treatment can cause patients to remain a source of infection for others. Patients with TB need additional support during treatment, in terms of information, motivation, and emotional support. Compliance monitoring helps ensure that patients take drugs according to a predetermined schedule. Comprehensive approach review method, careful selection of relevant data from various sources. This aims to provide overview of modern technology used to optimize the success of TB treatment. This paper aims to provide various methods that have existed in conventional and technology-enhanced approaches to monitoring and evaluating the treatment of TB patients. The existing studies only focus on making tools as a reminder to take medication but do not evaluate whether the drug is consumed. In addition, this paper describes prospective ideas involving advanced technology by using the internet of things (IoT)-based smart medicine bottle to accommodate the problem and become an effective communication solution in TB medication. Creator An entity primarily responsible for making the resource Almas Fahrana1, Sri Hernawati1,5, Saiful Bukhori1,4, Al Munawir1,3, Bayu Taruna Widjaja Putra1,2 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 Advanced technologies Internet of things Medication Smart medicine bottle Tuberculosis https://repository.horizon.ac.id/files/original/cc793fdc68f4af50d95cc3675a2d13ba.pdf 18335e610a1f654da04183c4ca302ce7 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.3 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 Implementation of ICMP flood detection and mitigation system based on software-defined network and sFlow-RT Subject The topic of the resource Internet control message protocol flood Network security OpenFlow Software-defined networks sFlow-RT Description An account of the resource This study evaluates internet control message protocol (ICMP) flood detection and mitigation in software-defined networks (SDN) using an SDN architecture with sFlow-RT for real-time traffic monitoring. OpenFlow switches and sFlow agents detect malicious patterns, following the prepare, plan, design, implement, operate, optimize (PPDIOO) methodology. Unlike prior approaches, this system leverages SDN programmability and sFlow-RT’s real-time analytics to reduce ICMP packets from 311,130.2 to 99 and latency by 80%, outperforming traditional methods in speed and responsiveness. It ensures network availability, with practical benefits for large-scale networks like internet service providers (ISPs). However, sFlow sampling rates may affect accuracy in high-speed networks, and a single OpenDaylight (ODL) controller limits generalizability. Future work should test alternative controllers and extend to other DDoS types like user datagram protocol (UDP) floods in diverse topologies. Creator An entity primarily responsible for making the resource Rikie Kartadie1, Adi Kusjani2, Rangga Warsito3, Yudhi Kusnanto3, Lucia Nugraheni Harnaningrum4 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/5d1774f447e0bffd5ad6f26ecb4bf7f2.pdf c771ae4857bec45668a2bcbeac3f3dfc 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.3 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 Reversible data hiding with selective bits difference expansion and modulus function Subject The topic of the resource Cryptography Difference expansion Information security Reversible data hiding Steganography Description An account of the resource The integration of the internet of things (IoT) has significantly enhanced human life but also raises concerns about information security and privacy. Information security can be achieved through cryptography, which encrypts data to make it unreadable, or steganography, which hides data within other media. For sensitive media, such as military, medical, and forensic imaging, specialized techniques like reversible data hiding (RDH) are necessary to ensure the media can be fully restored after data extraction. Many researchers have proposed improvements to the RDH method in recent years. In this study, we propose an improved RDH method utilizing difference expansion and a modulus function. The method embeds data into the 4-bit, 3-bit, and 2-bit least significant bits (LSB) of the difference value of pixels, with a range of -2 and 2. The experimental findings demonstrate that our approach achieves a embedding capacity of 0.2507 bpp with 55.445 dB of peak signal-to-noise ratio (PSNR) for common images and 0.3849 bpp with 54.6810 dB of PSNR for medical images, using 2-bit difference values. The results demonstrate that our approach surpasses previous methods and holds promise for practical applications in IoT systems and the medical field, where secure and reversible data embedding is essential Creator An entity primarily responsible for making the resource Aulia Arham1,2, Hanung Adi Nugroho2, Domi Sepri1 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 Cryptography Difference expansion Information security Reversible data hiding Steganography https://repository.horizon.ac.id/files/original/c94058e7a28c7604c0c1a5e3d2350d7f.pdf 70f6d938a12de69c0ac138d6d6aa0d04 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.3 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 Design and simulation of rectangular patch antenna arrays with high bandwidth for 2.4 GHz ISM band applications Subject The topic of the resource Ansys high frequency structure simulator Impedance matching Microstrip patch antenna array Quarter-wave transformer Wide bandwidth Description An account of the resource Ongoing advancements in microstrip patch antenna (MPA) development research is driven by its compact size, cost-effectiveness and ease of fabrication. This paper presents a flexible design of patch antenna array (PAA) to address bandwidth (BW) limitations within the 2.4 GHz industrial, scientific, and medical (ISM) band, where narrow BW is a common challenge. To explore the effectiveness of different array configurations, we designed and evaluated 1×2, 2×2, and 2×4 element rectangular PAA, employing a quarter-wave transformer (QWT) method and parallel scheme for connecting patches. By utilizing Ansys high frequency structure simulator (HFSS) as the modeling environment, we conducted extensive simulations to refine the antenna parameters and achieve the most optimal MPA prototype. Our investigation demonstrates sufficiently good results, including BWs of 290 MHz and 210 MHz for 2×2 and 2×4 PAAs respectively, which account for 8.75% and 12% of the total value. The parameter return loss (RL) (S_11) reached -51dB for single-element patch antenna (SPA) and -37.5 dB for 8-element PAA, that shows an ideal impedance matching. In addition, the designed 2×4 PAA exhibited impressive performance metrics, accounting for 9.17 dB in gain, 13 dBi in directivity, and voltage standing wave ratio (VSWR) maintained below 0.5, ensuring excellent signal transmission and reception. Creator An entity primarily responsible for making the resource Kymbat Kopbay, Madiyar Nurgaliyev, Ahmet Saymbetov, Nurzhigit Kuttybay, Askhat Bolatbek, Sayat Orynbassar, Batyrbek Zholamanov 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 Ansys high frequency structure simulator Impedance matching Microstrip patch antenna array Quarter-wave transformer Wide bandwidth https://repository.horizon.ac.id/files/original/da6595a2b6b35c7972800bb0946725cf.pdf e7fe3fed6e98f87676375deb1624964a 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.3 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 Integrating artificial intelligence into accounting systems: a qualitative study on user experiences and challenges Subject The topic of the resource Algorithm transparency Artificial intelligence Challenges in accounting systems Job role transitions User experiences Description An account of the resource This research explores the integration of artificial intelligence (AI) in accounting systems, focusing on user experiences and challenges faced by accountants and financial professionals. Using qualitative methods, in-depth interviews with diverse accounting professionals reveal key themes: optimism mixed with skepticism about AI’s potential, concerns over algorithm transparency, and trust issues due to the “black box” nature of AI systems. Participants highlight inadequate training programs, which hinder effective AI use and fuel resistance to adoption. The study also discusses the impact of AI on job roles, emphasizing a shift towards strategic thinking and advisory functions while routine tasks are automated. Implementation challenges include system compatibility, data integration issues, and significant resource investments, compounded by organizational resistance and lack of executive support. The findings stress the need for transparent AI algorithms, comprehensive training programs, and managed job role transitions to maximize AI benefits. This research provides insights into real-world user experiences, offering a roadmap for organizations to support effective AI integration in accounting, leading to improved performance, job satisfaction, and acceptance of AI technologies. Creator An entity primarily responsible for making the resource Andhika1, Lawrence Adi Supriyono2 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 12, 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 Algorithm transparency Artificial intelligence Challenges in accounting systems Job role transitions User experiences https://repository.horizon.ac.id/files/original/b42a696850fe5459a5c9ae8279c312a0.pdf b38c309350ee374b57c90224ec449576 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.3 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 Website-based: smart goat farm monitoring cages Subject The topic of the resource Cloud storage Goat farming Internet of things Livestock monitoring Smart farm system Description An account of the resource Goat farming holds significant profit potential due to high community demand for goat meat and its role in supporting national food security. To optimize its development, proper and efficient farm management is essential. This study aims to design a system for monitoring and improving goat farming by observing key environmental and animal health conditions, such as feed availability, temperature, humidity, and overall livestock health. The proposed system utilizes internet of things (IoT) technology and cloud storage to create a smart farm environment. Various IoT devices, including cameras, thermal sensors, and lighting equipment, are integrated and connected via Wi-Fi. These devices collect real-time data, which is then processed into informative analytics to monitor and support farm development. Through the use of IoT and cloud-based solutions, this system is expected to enable real-time supervision and create ideal, controlled conditions for goat farming, ultimately benefiting farmers. Creator An entity primarily responsible for making the resource Dwinanda Hafid Wicaksana, Wella 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 Cloud storage Goat farming Internet of things Livestock monitoring Smart farm system