1 10 25 https://repository.horizon.ac.id/files/original/a8a58e17a3a99f3c49c1ffda93124831.pdf 9dae13974b74f5f63184607aa098c24b 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 Low-cost central monitor based personal computer with electrocardiogram and heart rate parameters via wireless XBee Pro Subject The topic of the resource Central monitor Electrocardiogram Heart rate Wireless XBee Pro Description An account of the resource Heart rate signals and electrocardiograms are crucial indicators of a person’s health, particularly for individuals in intensive care units (ICU). The goal of this study is to wirelessly use a central monitoring system to continually and in real-time monitor the electrocardiogram signal and heart rate. The result of this research is that a wireless system can transmit continuous, distant, and real-time electrocardiogram and heart rate readings. Two transmitters and two receivers were used to send the signal in real-time. Lead II was used to capture the electrocardiogram (ECG) data, which was then processed by a microprocessor to determine the heart rate in beats per minute. The XBee Pro wireless was then used to transmit the data to the monitor in the form of an electrocardiogram and heart rate signal. The results of the XBee wireless performance test with statistics for determining heart rate value revealed that there was no discernible difference in the average value at a distance of 8, 10, 25, and 30 meters (P-value > 0.05). According to the study’s findings, wireless transmission is feasible over a limited distance and in real-time. Hospitals can use a central monitor to implement this research. Creator An entity primarily responsible for making the resource Bambang Guruh Irianto, Anita Miftahul Maghfiroh 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 Central monitor Electrocardiogram Heart rate Jurnal Nasional Informatika Wireless XBee Pro 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/cd2d251ff85fdfc15b22be89da5da959.pdf 0656614346ea0366ff669e56401b23f7 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 Design and performance analysis of low phase noise LC-voltage controlled oscillator Subject The topic of the resource Figure of merit Low phase noise MOS varactor Tuning range Voltage controlled oscillator Description An account of the resource Voltage controlled oscillator (VCO) offers the radio frequency (RF) system designer a freedom to select the required frequency. Today’s wireless communication system imposes a very stringent requirement in terms of phase noise generated in VCO. This study presents an inductive source degeneration technique to improve the phase noise performance of the inductance-capacitance (LC)-VCO. Double cross-coupled topology has been chosen for the proposed VCO. The post layout simulations with the parasitic resistance, inductance, capacitance (RLC) extracted view is carried out with united microelectronics corporations (UMC) 0.18 μm process by spectre simulator of cadence tools. The proposed VCO provides a phase noise of -124.3 dBc/Hz @ 1 MHz. The tuning range obtained is 19.87% with a centre frequency of 2.46 GHz which makes it suitable for industrial, scientific, and medical (ISM) band applications. It consumes a power of 2.10 mW. Also, a good figure of merit of -189 is achieved. The total layout area occupied is 477×545 μm2 . Creator An entity primarily responsible for making the resource Ramchandra Gurjar, Deepak Kumar Mishra 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 Figure of merit Jurnal Nasional Informatika Low phase noise MOS varactor Tuning range Voltage controlled oscillator 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 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/605e6e35e3d42ac1ded1a2c74059d5a1.pdf 72fab07a18918bfce407f9d88e93bf0c 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 Performance improvements of a VLC system, in a V2X context, using a different multiplexing technique Subject The topic of the resource BER DS-OCDMA OOC V2V V2X Visible light communication WDM Description An account of the resource This paper scrutinizes visible light communication (VLC) employing hybrid optical time division multiplexing (OTDM) wavelength division multiplexing (WDM). It also demonstrates the simulation of VLC using the direct sequence optical code division multiple access (DS-OCDMA) system developed by OptiSystem-Matlab Co-simulation. The profits of WDM and OTDM capacities have been combined using two levels of freedom to build up of the system. The performances are demonstrated in the simulated findings of the bit error rate (BER) in relationship with the data rate and the number of users. First, the simulated results display the usefulness of the system. Then, the number of users has been significantly enhanced. Besides, the OCDMA functions by appointing a specific code to each user and could provide asynchronous and simultaneous access to numerous users. One drawback is multiple access interference (MAI). The use of very long code sequences is crucial in order to lessen this effect. Hence, very large bandwidths are essential. This study aims at demonstrating, through system simulation, the practicability of an all-optical conventional correlation receiver dedicated to a DS-OCDMA access network link. Again, OptiSystem has been used to realize our blocks. Creator An entity primarily responsible for making the resource Anass Kharbouche, Zhour Madini, Younes Zouine 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 BER DS-OCDMA Jurnal Nasional Informatika OOC V2V V2X Visible light communication WDM https://repository.horizon.ac.id/files/original/40f930fb87b3897aa3b6b6b466c375d0.pdf eea278cda55de97d078e78d838506c24 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 Neuro-fuzzy-based anti-swing control of automatic tower crane Subject The topic of the resource ANFIS controller Fuzzy control Fuzzy-tuned PID controller Intelligent control Tower crane Description An account of the resource Controlling the position of the final load and the anti-swing control of the loads during the operation of the tower crane are challenging tasks. These are the most important control issues for safe operation, which are difficult to achieve easily with conventional control systems. Hence, the need to integrate the concepts of soft-computing into the tower crane control system. The aim of this research work is to design an adaptive-network-based fuzzy inference system (ANFIS) controller to move the payload to the final position with the lowest possible swing angle. To evaluate the ability of the proposed controller to meet the control requirements, its performance was compared to three other controllers: a conventional proportional derivative (PD) controller, a fuzzy-tuned PD controller and a fuzzy controller. MATLAB-based computer simulations of the crane and controllers were carried out to verify and compare the performance of the proposed controllers. The obtained results show the effectiveness of the ANFIS-based controller in adjusting the load position while keeping the load fluctuations small at the final position. The load oscillation angle is about ±2.28° with the ANFIS controller while it is about ±10° when using the PD controller. In addition, only one Creator An entity primarily responsible for making the resource Saleh B. Al-Tuhaifi, Kasim Mousa Al-Aubidy 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 ANFIS controller Fuzzy control Fuzzy-tuned PID controller Intelligent control Jurnal Nasional Informatika Tower crane 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/086d0a977cfe43b4bbe0eaf0ec3ec9e9.pdf 28681ca9ced502fa14d9c3b2f5a54bb6 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 Experimental of vectorizer and classifier for scrapped social media data Subject The topic of the resource Classifier Experiment Social media Text processing Vectorizer Description An account of the resource In this study, we used several classifiers and vectorizers to see their effect on processing social media data. In this study, the classifiers used were random forest, logistic regression, Bernoulli Naive Bayes (NB), and support vector clustering (SVC). Random forests are used to reduce spatial complexity, and also to minimize errors. Logistic regression is a method with a statistical model whose basic form uses a logistic function to represent the binary dependent variable. Then, the Naive Bayes function uses binary elements and SVC which has so far given good results rivals other guided learning. Our tests use social media data. Based on the tests that have been carried out on classifier variations and vectorizer variations, it was found that the best classifier is a linear regression algorithm based on predictive adaptive compared to the random forest method based on decision trees, probability-based Bernoulli NB and SVC which work by clustering. Meanwhile, from the test results on the count vectorizer, term frequency-inverse document frequency (TFIDF), and hashing, the best accuracy is achieved on the TFIDF vectorizer. In this case, it means that the TFIDF vectorizer has a better value in presenting word feature dimensions. Creator An entity primarily responsible for making the resource Setiawan Assegaff, Errissya Rasywir, Yovi Pratama 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 classifier Experiment Jurnal Nasional Informatika Social media text processing Vectorizer 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