1 10 26 https://repository.horizon.ac.id/files/original/e11147f2c2b52ce15d4c9b4f5735e0c2.png 1dd38fc44f33cdcee04cdd6324d0c555 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. 20, NO. 2 2022 Still Image A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. 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 Cover TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol. 20, No. 2 2022 https://repository.horizon.ac.id/files/original/3e6bfb8d3ad6c282791745b79af53557.pdf 1bea2630faf4692519f8718f5371c76a 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. 20, NO. 2 2022 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 modified squirrel search algorithm for solving facility layout problems Subject The topic of the resource Combinatorial optimization Facility layout planning Squirrel search algorithm Swarm intelligence Description An account of the resource With the huge advance in artificial intelligence and the rapid development of intelligent swarm algorithms, the exploration of facility layout problem (FLP) with its non-deterministic polynomial-time (NP-Hard) nature has gained much more attention. The squirrel search algorithm is one of the swarm algorithms that is known for its effective gliding feature that provides cheap exploration of lengthy distances. In this work, Msqrl algorithm is presented as a modification of squirrel search algorithm to be capable of handling permutation-specific FLP. The modification is done by introducing two new operators: Msqrl-Exchange and Msqrl-Winter. It is used to investigate the effectiveness in finding acceptable solutions to variable-size, single-row FLPs in a fast and efficient manner. Tests included small and large benchmark instances for comparisons. Outcomes show that Msqrl was able to improved quite a few previously found solutions by acting efficiently and converging rapidly to solutions. It outperformed both semidefinite programming and cuckoo optimization in finding optimal solutions in an acceptable number of iterations and relatively small population sizes Creator An entity primarily responsible for making the resource Najla Akram Al-Saati, Zakariya Yahya Algamal Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource April 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930, 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 Combinatorial optimization Facility layout planning Jurnal Nasional Informatika Squirrel search algorithm Swarm intelligence https://repository.horizon.ac.id/files/original/9e2acea8bd1fde6c9b19ad9be8940945.pdf c156d42084010555d3d07da71710bdd2 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. 20, NO. 2 2022 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 adaptive neural control methodology design for dynamics mobile robot Subject The topic of the resource Mobile robot Neural network controller Path planning Slice genetic algorithm Trajectory tracking Description An account of the resource The paper demonstrates an enhancement in the mobile robot’s performance during trajectory tracking with static obstacles. An adaptive artificial neural network (ANN) control methodology with online tuning evolutionary slice genetic algorithm is used for the motion control of the nonlinear dynamics mobile robot system. This paper aims at locating the optimal path from the starting point to the target point and designing an ANN trajectory tracking control methodology. The algorithm is simulated with fixed-global environment obstacles to demonstate the effectiveness of the ANN controller and the evolutionary optimization algorithm in terms of the shortest path length generated and the minimum number of the evaluation cost function calculated. The simulation results illustrate that the ANN controller’s parameters are obtained quickly, generating smooth wheels’ torque actions for the mobile robot platform with a minimum cost function evolution that lead to minimize the tracking error to approximately zero with no oscillation in the responses. Creator An entity primarily responsible for making the resource Khulood Eskander Dagher, Rabab Alaa Hameed, Ibrahim Amer Ibrahim, Muntaha Razak Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource April 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 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 mobile robot Neural network controller Path planning Slice genetic algorithm Trajectory tracking https://repository.horizon.ac.id/files/original/beeb4de085fbef63403dcf4325c1a0c2.pdf faccda283b9790bb11357ce2e973ed4a 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. 20, NO. 2 2022 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 Artificial intelligent techniques applied for detection COVID-19 based on chest medical imaging Subject The topic of the resource Artificial intelligence COVID-19 FFBPN Medical imaging Rasbperry pi SVM Description An account of the resource One of the ways to detect coronavirus disease of 2019 (COVID-19) is X-rays, computerized tomography (CT). This paper aims to detect COVID-19 from CT images without any user intervention. The proposed algorithm consists of 5 stages. These stages include; the first stage aims to collect data from hospitals and internet websites, the second stage is pre-processing stage to remove noise and convert it from red green blue (RGB) to grayscale and then improve image quality, the third is the segmentation stage which included threshold and region-growing segmentation methods. The fourth stage is used to extract important characteristics, and the last stage is classification CT images using feed forward back propagation network (FFBPN) and support vector machines (SVM) and compare the results between them and see if the person is infected or healthy. This study was implemented in MATLAB software. The results showed that the noise cancellation technology using anisotropic filtering gave the best results. Region-growing method was reliable to separate COVID-19 infected from healthy regions. The FFBPN has given the best results for detecting and classifying COVID-19. The results of the proposed methodology are rapid and accurate in detecting COVID-19. The output from classifier is displayed on the Rasbperry Pi that included weather if patient is infected or not and the severity of COVID-19 infection. Creator An entity primarily responsible for making the resource Nawres Aref Alwash, Hussain Kareem Khleaf Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource April 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 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 artificial intelligence COVID-19 FFBPN Jurnal Nasional Informatika Medical imaging Rasbperry pi SVM https://repository.horizon.ac.id/files/original/a808811ece468aa66abc9baf53c3581c.pdf a69425d0274c4cfd82660a7e20f98795 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. 20, NO. 2 2022 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 Cloud removal on satellite imagery using blended model: case study using quick look of high-resolution image of Indonesia Subject The topic of the resource Blended cloud removal model High-resolution image Quick look image Satellite image Description An account of the resource The problem with the acquisition of satellite imagery in the tropics, especially in the area around the equator is that it is almost covered by clouds throughout the year. Users need cloud cover information and the possibility of obtaining cloudless satellite images before they get the data. An overview of the availability of cloud coverage distribution, especially those presented in a spatial format, was very beneficial and increased efficiency for users to select image data in the area of interest (AoI). This study aimed to develop a cloud removal, so-called blended cloud removal (BCR) model, which was applied in a part of West Java Province. The data used for this study were 33 images of quick looks at high-resolution satellite images of the 2013-2015 period that could be obtained free of charge on the website. The results showed that the distribution of efficiency was that AoI-1 obtained 99.67% efficiency of cloud removal image, AoI-2 was 76.51%, and AoI-3 obtained 98.34%. These three AoI locations have an average efficiency of 91.50%. As a result, there was substantial evidence that fewer than 10% of cloud cover remains after cloud removal. This suggests that by using the BCR model, a considerable change in cloud cover for the AoI location might be obtained, meeting the Geospatial Information Agency’s standards. Creator An entity primarily responsible for making the resource Muhammad Dimyati, Adlyani Husna, Puji Tri Handayani, Devy Nur Annisa Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource April 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 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 Blended cloud removal model High-resolution image Jurnal Nasional Informatika Quick look image Satellite image https://repository.horizon.ac.id/files/original/818496119fea20d57f22dd3a10a6eddb.pdf 10ad81bec2a82a37acd5e5d8b9914c40 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. 20, NO. 2 2022 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 Comprehensive study of current trend of the remotely operated vehicle for underwater systems Subject The topic of the resource Remotely operated vehicle ROV controller ROV modelling System identification Description An account of the resource This paper aim to provide a basic fundamental knowledge for researchers on underwater remotely operated vehicle (ROV) system and current trend of ROV controller. The vehicle is used for exploration, investigation or inspection of underwater environment as a replacement of human due to human limitation. It can dive deeper than human and can be manoeuvred into hazard environment. In this paper, the basic development and classification of ROV is discussed. The modelling of ROV, manoeuvrability and controller designed by researchers since 1990 also being discussed. It is expected that this paper will help readers in doing research on the controller of ROV. Creator An entity primarily responsible for making the resource Fauzal Naim Zohedi, Mohd Shahrieel Mohd Aras, Hyreil Anuar Kasdirin Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource April 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 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 Remotely operated vehicle ROV controller ROV modelling System identification https://repository.horizon.ac.id/files/original/a4386ea0b195926dfe3f9c92c78dd905.pdf 1933bc6a991bf32fe6df32c22537421c 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. 20, NO. 2 2022 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 of resonator cavity for liquid material characterization Subject The topic of the resource Complex permittivity Dielectric properties Distilled water Material characterization Resonator cavity Description An account of the resource Dielectric characterization is very essential before the material can be utilized in designing microwave networks. Circular cylindrical resonators have been widely used for material characterization, but it is not a preferable design during the measurement of liquid samples as the sample placement requires repetitive process of opening and closing the lid of the cavity. This repetition procedure easily affects the accuracy of measurement and may lead to a measurement error. In this study, a rapid and less measurement procedure of liquid material characterization is proposed. The proposed rectangular resonator design is far more convenient and easier to handle as it does not require complex sample preparation. Considering electric field leakage, a hole is designed at the top of the cavity to ease the inserting process of sample. A 5-GHz prototype of a rectangular resonator is designed and fabricated to measure a liquid sample. Complex scattering parameters are measured using a vector network analyzer before the dielectric properties are estimated using an inverse technique. The dielectric properties of distilled water are measured to demonstrate the practicality of the proposed measurement technique. As a result, the measured dielectric properties of distilled water show a reasonable agreement with the values from other literature. Creator An entity primarily responsible for making the resource Nur Shahira Mat Hussain, Azahani Natasha Azman, Nurhafizah Abu Talip Yusof, Nur Alia Athirah Hj Mohtadzar, Mohamad Shaiful Abdul Karim Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource April 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 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 Complex permittivity Dielectric properties Distilled water Jurnal Nasional Informatika Material characterization Resonator cavity https://repository.horizon.ac.id/files/original/d6bf54cd1d19fe24f6dae9b10f5bc43b.pdf 18b8cd94ad5619b7177bd107a8fbe02f 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. 20, NO. 2 2022 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 Efficient SOVA decoding and enhanced early termination mechanism based on new attenuation factors Subject The topic of the resource Attenuation factor Early termination SOVA Turbo code Description An account of the resource This paper proposes two attenuation factors (AF’s) to improve the performance of the soft-output Viterbi algorithm (SOVA) as well as to enhance the early termination mechanism in turbo decoding. The mean square difference between the systematic bipolar coded symbols and the a-posteriori information is used to estimate the first AF. The second AF is computed online for each iteration based on the correlation coefficient between the extrinsic and a-priori information instead of intrinsic information as customary to calculate in literature. The second factor is used in the early termination (ET) scheme which is practically useful to terminate iterations when there is no significant improvement is achieved. In addition, a method for offline computing the AF’s that cover a specific range of signal-to-noise power ratio is provided which results in a reduction of utilization and latency estimates with a shallow degradation in performance. The results show that the proposed scheme outperforms the previous related works by about 0.2 dB at bit error rate (BER) of 10-5 using interleaver depth of 512 and reducing the average number of iterations (ANI) by about 3 iterations. Creator An entity primarily responsible for making the resource Ahmed A. Hamad, Hussain F. Jaafar, Hilal Al-Libawy Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource April 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 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 Attenuation factor Early termination Jurnal Nasional Informatika SOVA Turbo code https://repository.horizon.ac.id/files/original/2318704baafbe6b8bf5c63f5c3acf940.pdf 525078126169de6227daee623b155159 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. 20, NO. 2 2022 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 IgG-IgM antibodies based infection time detection of COVID-19 using machine learning models Subject The topic of the resource AI COVID-19 detection False-negative RT-PCR IgG IgM Machine learning RT-PCR Description An account of the resource Over the last two years, most scientists have been researching the solution to the pandemic coronavirus disease 2019 (COVID-19). So, the effective inspection and the rapid diagnosis of COVID-19 provide a mitigation ability to the burden on healthcare systems. These research works focus on detecting and knowing the history of infection in terms of time and developed symptoms. In infections detection, artificial intelligence (AI)technologies increase the accuracy and efficiency of the adopted detection methods. These methods will aid the medical staff in classifying patients, essentially when there is a healthcare resources shortage. This paper proposed machine learning-based models for detecting the time of COVID-19 infection in weeks using the laboratory factors of detected antibodies immunoglobulins G and immunoglobulins M (IgG-IgM). This test is common and helpful in diagnosing the suspected patients who held a negative result for the reverse transcription-polymerase chain reaction (RT-PCR) test. The proposed models consider two machine learning models adopting root mean square error (RMSE) and mean absolute error (MAE) factors. The results show acceptable efficiency of performance that ranges from 80% to 100% for pointing the patient in any week of infection, to reduce the likelihood of transmitting the infection from patients who have developed symptoms but with false-negative RT-PCR test Creator An entity primarily responsible for making the resource Saja Dheyaa Khudhur, Dhuha Dheyaa Khudhur Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource April 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 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 AI COVID-19 detection False-negative RT-PCR IgG IgM Jurnal Nasional Informatika machine learning RT-PCR https://repository.horizon.ac.id/files/original/d9df70c746d752ff4527b46632e2c190.pdf 63be1c6b98757f52384d0a1ac3662f98 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. 20, NO. 2 2022 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 Implementation of K-means algorithm in data analysis Subject The topic of the resource Data analysis Data mining K-means clustering Description An account of the resource Some large companies have difficulty in providing products even though the products are still available in the warehouse. Based on these problems,a solution is needed in managing cosmetic products and can find the right strategy so that it can increase business in the field of sales and improve sales services by using algorithms in data mining that can overcome these problems, such as clustering techniques that use the K-means clustering algorithm as a way to measure proximity data between cosmetic products based on transactions that have occurred. The specialty of the analysis of the management of cosmetic products in this study is that it produces data on products that are not sold enough so that it can provide prevention so that the accumulation of these products does not occur. The use of K-means clustering also makes it easier to collect cosmetic sales transaction data, can solve problems in classifying cosmetic product sales transaction data and find out which products should be in cosmetics stock so as to increase sales profits. Creator An entity primarily responsible for making the resource Asyahri Hadi Nasyuha, Zulham, Ibnu Rusydi Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource April 2022 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 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 Data analysis data mining Jurnal Nasional Informatika K-Means Clustering