1 10 25 https://repository.horizon.ac.id/files/original/98030cc8f69acb7272ec184a3bb5965a.pdf e73dd4bc524456f96362582004d91401 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 4 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control A combined fuzzy AHP with fuzzy TOPSIS to locate industrial supporting bonded logistics centers Subject The topic of the resource Bonded logistics centers Fuzzy AHP Fuzzy numbers Fuzzy TOPSIS Industries Description An account of the resource Raw material availability is critical for the sustainability of industrial activity. A bonded logistics centre is required as a multipurpose warehouse for the storage of raw commodities, particularly those imported from other countries. The operationalization of bonded logistics centers in terms of supplying raw materials effectively and efficiently is largely location dependent. Proper facility placement is critical for resolving the storage issue and boosting the efficiency of the transportation system. The purpose of this article is to suggest a technique for locating a bonded logistics centre. In an unpredictable context, decision making requires a range of criteria generated from knowledge and stakeholder experience. As a result, this work proposes the combination of the fuzzy analytic hierarchy process (FAHP) with the fuzzy technique for ordering preferences by similarity to ideal solution (FTOPSIS). By disclosing linguistic characteristics, fuzzy numbers contribute to the resolution of ambiguity and imprecision. Obtaining the weighted value of the criteria and sub-criteria using fuzzy AHP. Using fuzzy TOPSIS, determining alternate preferences based on weighting factors. Its use lies in being able to distinguish between criteria that provide advantages and those that generate expenses. The findings indicate that the selected option is the one that is most closely related to the positive ideal. Creator An entity primarily responsible for making the resource Syafrianita, Heru Purboyo Hidayat Putro, Gatot Yudoko, Fikri Zul Fahmi Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Feb 16, 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT Bonded logistics centers Fuzzy AHP Fuzzy numbers Fuzzy TOPSIS Industries Jurnal Nasional Informatika https://repository.horizon.ac.id/files/original/4205afe418cd1239087b49dc22a0fbbe.pdf 8cc3253af84e200a8a9c34cbf94e15cd Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 4 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control A study on PMSM drive systems fed by multi-level inverter using linear quadratic regulator control for electric vehicle applications Subject The topic of the resource LQR PMSM SVM T-type inverter Description An account of the resource This paper presents research on a permanent magnet synchronous motor (PMSM) by a 5-level T-type inverter using linear quadratic regulator (LQR) control for speed control. The space vector modulation (SVM) structure for the 5-level T-type inverter to improve the control quality of the PMSM drive system is presented. This paper aims to successfully design a state feedback controller to control motor speed in a permanent magnet synchronous motor drive system. Simulink results are performed with different speed ranges and the same torque load. These results will focus on evaluating quality when the PMSM drive operates at all speeds. MATLAB/Simulink proves the results. Creator An entity primarily responsible for making the resource Vo Thanh Ha, Pham Thi Giang Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Feb 16, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Jurnal Nasional Informatika LQR PMSM SVM T-type inverter https://repository.horizon.ac.id/files/original/cfa12cdd806a3e3916e34bf7397c2def.pdf 6ab6e950324d05d8fb39d34d4338d589 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 4 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control An automatic flame detection system for outdoor areas Subject The topic of the resource Area detection Frame differences HSV/YCbCr color space Image processing Otsu’s algorithm Wavelet transforms Description An account of the resource Traditional fire detection depends on smoke sensors. This strategy, however, is unsuited for big and open buildings, as well as outdoor regions. As a result, based on computer vision systems, this research proposes an effective method for recognizing flames in open areas. To minimize data size without losing important information, integer Haar lifting wavelet transform is used to frame and analyze the input video. Then, three color spaces (binary, hue, saturation, value (HSV), and YCbC) are used in simultaneous color detection. In binary space, Otsu’s approach is utilized to determine automated intensity pixels. Additionally, using frame differences to reduce false alarms. According to the experimental results, the approach achieves 99% accuracy for offline videos and surpasses 93% accuracy for real-time videos while maintaining a lower level of complexity. Creator An entity primarily responsible for making the resource Zahraa Shihab Al Hakeem, Haider Ismael Shahadi, Hawraa Hassan Abass Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Feb 16, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource english Area detection Frame differences HSV/YCbCr color space image processing Jurnal Nasional Informatika Otsu’s algorithm Wavelet transforms https://repository.horizon.ac.id/files/original/4f9527d1340b61f6db9fcee32f5a867b.pdf 63aa14b5126ec0e9a12d48b8fae570c9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 4 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Analysis on the performance of pointing error effects for RIS-aided FSO link over gamma-gamma channels Subject The topic of the resource Free-space optical communications Gamma-gamma turbulence channels Pointing error effects Quadrature amplitude modulation Reconfigurable intelligent surfaces Description An account of the resource In this study, we analysis on the performance of pointing error effects for reconfigurable intelligent surfeces (RISs) aided free-space optical (FSO) communication link over moderate to strong atmospheric turbulence channels. Among these solutions, RISs are considered as hardware technology to improve performance of optical wireless communication systems. Performance evaluation of systems is affected by atmospheric attenuation, pointing errors and moderate to strong atmospheric turbulence channels for quadrature amplitude modulation (QAM) technique. Atmospheric turbulence channel from moderate to strong is modeled using gamma-gamma distribution. Several numerical results obtained the average symbol error rate (ASER) performance versus beam waist radius and signal to noise ratio for three value of pointing error displacement standard deviation. From the results, it is show that with RIS assisted can effectively improve the performance and link distance of the wireless communication systems. Creator An entity primarily responsible for making the resource Duong Huu Ai, Dai Tho Dang, Quang Hien Dang, Trong Le Kim Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Feb 16, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Free-space optical communications Gamma-gamma turbulence channels Jurnal Nasional Informatika Pointing error effects Quadrature amplitude modulation Reconfigurable intelligent surfaces https://repository.horizon.ac.id/files/original/b3f7d8421f6fe9ade9dabeda706a32df.pdf c5ec2eb01ba4c2aa390099a121e9229b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 4 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Biomedical-named entity recognition using CUDA accelerated KNN algorithm Subject The topic of the resource BioNLP Graphics processing unit Machine learning Named entity recognition Natural language processing Description An account of the resource Biomedical named entity recognition (Bio-NER) is a highly complex and time-consuming research domain using natural language processing (NLP). It’s widely used in information retrieval, knowledge summarization, biomolecular event extraction, and discovery applications. This paper proposes a method for the recognition and classification of named entities in the biomedical domain using machine learning (ML) techniques. Support vector machine (SVM), decision trees (DT), K-nearest neighbor (KNN), and its kernel versions are used. However, recent advancements in programmable, massively parallel graphics processing units (GPU) hold promise in terms of increased computational capacity at a lower cost to address multi-dimensional data and time complexity. We implement a novel parallel version of KNN by porting the distance computation step on GPU using the compute unified device architecture (CUDA) and compare the performance of all the algorithms using the BioNLP/NLPBA 2004 corpus. Results demonstrate that CUDA-KNN takes full advantage of the GPU’s computational capacity and multi-leveled memory architecture, resulting in a 35× performance enhancement over the central processing unit (CPU). In a comparative study with existing research, the proposed model provides an option for a faster NER system for higher dimensionality and larger datasets as it offers balanced performance in terms of accuracy and speed-up, thus providing critical design insights into developing a robust BioNLP system. Creator An entity primarily responsible for making the resource Manish Bali, Anandaraj Shanthi Pichandi, Jude Hemanth Duraisamy Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Feb 16, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text BioNLP Graphics processing unit Jurnal Nasional Informatika machine learning Named entity recognition natural language processing https://repository.horizon.ac.id/files/original/253353e2c0a5719c59065feee3ac3317.pdf fea5604b7fae6c18f64c206600955954 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 4 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Comparative simulation study of electric motors for high performance of 3D printers Subject The topic of the resource 3D printing Brushless DC motor PMSM Stepper motor Description An account of the resource 3D printing is a process in which material is joined layer by layer under computer control to make a 3D object easy to get almost any shape. This technology finds applications in various fields and it is attracting considerable interest from industry and academia. There are many different brands and models of motors used in 3D printers, and they all vary in quality and effectiveness. In this article we present the principal of the 3D printer, types of motors used in 3D printer and mathematical modelling of this motors like brushless direct current (DC) motor, permanent magnet synchronous motor (PMSM), and stepper motor. The models of analytical equations describing the three systems of motors are evaluated and developed by Matlab/Simunlink. In this paper, we have conducted a comparison of the series of results from simulation between the performance of PMSM, brushless DC and stepper motor. Among several criteria, this simulation study allows to select the criterion of response time to reach the desired speed and the precision of the rotor position to choose the most performant motor for 3D printers. Creator An entity primarily responsible for making the resource Mhamed El Mrabet, Zineb Mekrini, Abdelilah El Mesbahi, Mohammed Boulaala Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Feb 16, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text 3D printing Brushless DC motor Jurnal Nasional Informatika PMSM Stepper motor https://repository.horizon.ac.id/files/original/d1cc54624ce9dabe1b3b55b09a8a1bc2.pdf 9ffd792451b459acc62868e0200bb803 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 4 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Competent scene classification using feature fusion of pre-trained convolutional neural networks Subject The topic of the resource Feature extraction Feature fusion Pre-trained networks Scene classification Support vector machine Description An account of the resource In view of the fact that the development of convolutional neural networks (CNN) and other deep learning techniques, scientists have become more interested in the scene categorization of remotely acquired images as well as other algorithms and datasets. The spatial geometric detail information may be lost as the convolution layer thickness increases, which would have a significant impact on the classification accuracy. Fusion-based techniques, which are regarded to be a viable way to express scene features, have recently attracted a lot of interest as a solution to this issue. Here, we suggested a convolutional feature fusion network that makes use of canonical correlation, which is the linear correlation between two feature maps. Then, to improve scene classification accuracy, the deep features extracted from various pre-trained convolutional neural networks are efficiently fused. We thoroughly evaluated three different fused CNN designs to achieve the best results. Finally, we used the support vector machine for categorization (SVM). In the analysis, two real-world datasets UC Merced and SIRI-WHU were employed, and the competitiveness of the investigated technique was evaluated. The improved categorization accuracy demonstrates that the fusion technique under consideration has produced affirmative results when compared to individual networks. Creator An entity primarily responsible for making the resource Thirumaladevi Satharajupalli, Kilari Veera Swamy, Maruvada Sailaja Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Feb 16, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Feature extraction Feature fusion Jurnal Nasional Informatika Pre-trained networks Scene classification Support Vector Machine https://repository.horizon.ac.id/files/original/99c2f8a5e6b3fd569d5c6d6db0771cf3.pdf 30a0aeecfccd8242e2e134330414f38d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 4 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Contrast modification for pre-enhancement process in multi contrast rubeosis iridis images Subject The topic of the resource Enhancement Multi-contrast images Rubeosis iridis Suppression Description An account of the resource Existing researchers for rubeosis iridis disease focused on image enhancement as a collective group without considering the multi-contrast of the images. In this paper, the pre-enhancement process was proposed to improve the quality of iris images for rubeosis iridis disease by separating the image into three groups; low, medium and high contrast. Increment, decrement and maintenance of the images’ original contrast were further operated by noise reduction and multi-contrast manipulation to attain the best contrast value in each category for increased compatibility prior subsequent enhancement. As a result, this study proved that there have three rules for the contrast modification method. Firstly, the histogram equalization (HE) filter and increasing the image contrast by 50% will achieve the optimum value for the low contrast category. Experimental revealed that HE filters successfully increase the luminance value before undergoing the contrast modification method. Secondly, reducing the 50% of the image contrast to achieve the optimum value for the high contrast category. Finally, the image contrast was maintained for the middle contrast category to optimise contrast. The mean square error (MSE) and peak signal-to-noise ratio (PSNR) of the outputs were then calculated, yielding an average of 18.25 and 28.87, respectively. Creator An entity primarily responsible for making the resource Rohana Abdul Karim, Nurul Wahidah Arshad, Yasmin Abdul Wahab Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Feb 16, 2023 Contributor An entity responsible for making contributions to the resource PERI IRAWAN Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource ENGLISH Type The nature or genre of the resource TEXT Enhancement Jurnal Nasional Informatika Multi-contrast images Rubeosis iridis Suppression https://repository.horizon.ac.id/files/original/675b1b311ba17d605a70fbd5b6e196ec.pdf e9238ef0f74c420e760b97d2e4940ec6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 4 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Core model of information technology governance system design in local government Subject The topic of the resource Capability level COBIT Core model IT governance Local government Description An account of the resource Information technology governance (ITG) in local government is aimed at a good governance service framework. Reports produced as a result of the framework’s implementation help to improve governance’s openness, potency, and efficiency. A strong governance structure for adopting information technology (IT) is essential to ensuring its best utilization. The governance system should be properly managed to support the organization’s business. Therefore, this research aims to design an ITG system suitable for best practices using the control objectives for information technologies (COBIT) 2019 framework. The recommendations from the core model were processed based on the priority or competence level that local government entities use. It also produced a core model with capability levels of 1 and 2 that do not exist. The recommendation designated for the priority level of 3 was 17. The core model to be assigned a capability level of 4 urgently needed to be implemented was 23 core models. Creator An entity primarily responsible for making the resource Lanto Ningrayati Amali, Muhammad Rifai Katili, Sitti Suhada Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Feb 16, 2023 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Capability level Cobit Core model IT governance Jurnal Nasional Informatika https://repository.horizon.ac.id/files/original/90b2494b1da326740da03c82b26482ff.pdf 76482d87a945bba22f7aa3324d4a0b7e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 21, NO. 4 2023 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication Computing Electronics and Control Customer segmentation with RFM models and demographic variable using DBSCAN algorithm Subject The topic of the resource Customer segmentation DBSCAN Demographic RFM Silhouette index Description An account of the resource The aims of this research was to identify prospective customers by conducting customer segmentation based on recency, frequency, monetary (RFM) values and demographic variables. The step were selected the data and normalized. The normalized data were clustered using the density based spatial clustering of applications with noise (DBSCAN) algorithm. The k-dist graph was utilized with RStudio tools to identify the best values for epsilon and MinPts. The outcome of utilizing epsilon 0.06 and MinPts 3 was the identification of 5 clusters and 31 data points considered as noise, resulting in a silhouette index (SI) value of 0.4222. Based on the average RFM values, cluster 1 was categorized as prospective customers, while clusters 2, 3, 4, and 5 were designated as loyal customers. Furthermore, according to demographic analysis, the majority of customers are between the ages of 35 to 45, female, married, and housewives. Women, groceries, such as rice and cooking oil, were the most popular products. Besides, the customers were mostly lecturers and lived in Pekanbaru. This was compatible with the customer target of people from upper middle class, such as lecturers, and with the location of the mart as well, which was near a campus. Creator An entity primarily responsible for making the resource Siti Monalisa, Yosie Juniarti, Eki Saputra, Fitriani Muttakin, Tengku Khairil Ahsyar Source A related resource from which the described resource is derived http://telkomnika.uad.ac.id Date A point or period of time associated with an event in the lifecycle of the resource Oct 26, 2022 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 Customer segmentation DBSCAN Demographic Jurnal Nasional Informatika RFM Silhouette index