2 10 67 https://repository.horizon.ac.id/files/original/6ebde38b0ea08c3bb318d44e85f968c7.pdf 9e076e1a34937626d5f46b815c1ca0e4 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. 18, NO. 3 2020 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 Area calculation based on GADM geographic information system database Subject The topic of the resource Global administrative area, The circle approach method, The Karney’s polygon method Description An account of the resource This paper aims to provide an overview of the calculation of the area of Indonesia based on the boundaries of sub-district/village, district, regency/city. The circle approach method is proposed as a fast method for determining the land area of Indonesia. The total area of Indonesia can be obtained by adding up to 33 provinces or 502 regencies/cities or 6696 districts or 77474 sub-districts. Calculation of the area of the area using district boundaries is better used in the calculation of the area of Indonesia which is obtained 1,965,443.51 km2 . The results obtained are 2.53% bigger than the reference area. Creator An entity primarily responsible for making the resource Adi Setiawan, Eko Sediyono Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14901 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 June 2020 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 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant TELKOMNIKA Telecommunication, Computing, Electronics and Control Global administrative area Jurnal Nasional Informatika The circle approach method The Karney’s polygon method https://repository.horizon.ac.id/files/original/15d200897afc2c0d06297877a7851039.pdf 8ab1012aaee1e510d8b6ea5f6ed8224e 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. 18, NO. 3 2020 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 review on region of interest-based hybrid medical image compression algorithms Subject The topic of the resource Hybrid, Medical image compression, Region of interest Description An account of the resource Digital medical images have become a vital resource that supports decision-making and treatment procedures in healthcare facilities. The medical image consumes large sizes of memory, and the size keeps on growth due to the trend of medical image technology. The technology of telemedicine encourages the medical practitioner to share the medical image to support knowledge sharing to diagnose and analyse the image. The healthcare system needs to ensure distributes the medical image accurately with zero loss of information, fast and secure. Image compression is beneficial in ensuring that achieve the goal of sharing this data. The region of interest-based hybrid medical compression algorithm plays the parts to reduce the image size and shorten the time of medical image compression process. Various studies have enhanced by combining numerous techniques to get an ideal result. This paper reviews the previous works conducted on a region of interest-based hybrid medical image compression algorithms. Creator An entity primarily responsible for making the resource Suhaila Ab Aziz, Suriani Mohd Sam, Norliza Mohamed, Salwani Mohd Daud, Siti Zaleha Abdul Rashid, Hafiza Abas, Muhammad Fathi Yusof, Rudzidatul Akmam Dziyauddin Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14900 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 June 2020 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 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant TELKOMNIKA Telecommunication, Computing, Electronics and Control Hybrid Jurnal Nasional Informatika Medical image compression Region of interest https://repository.horizon.ac.id/files/original/27e009bddc67ba08692c9efdcf20acd2.pdf a06d743666ef662b691124df6964c58c 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. 18, NO. 3 2020 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 Insomnia analysis based on internet of things using electrocardiography and electromyography Subject The topic of the resource Electrocardiography, Electromyography, Insomnia, Internet of things Description An account of the resource Insomnia is a disorder to start, maintain, and wake up from sleep, has many sufferers in the world. For patients in remote locations who suffer from insomnia, which requires testing, the gold standard performed requires patients to take the time and travel to the health care center. By making alternatives to remote sleep insomnia testing using electrocardiography and electromyography connected to the internet of things can solve the problem of patients' access to treatment. Delivery of patient data to the server is done to make observations from the visualization of patient data in real-time. Furthermore, using artificial neural networks was used to classify EMG, ECG, and combine patient data to determine patients who have Insomnia get resulted in patient classification errors around 0.2% to 2.7%. Creator An entity primarily responsible for making the resource Novi Azman, Mohd Khanapi Bin Abd Ghani, S. R. Wicaksono, Barru Kurniawan, Viktor Vekky Ronald Repi Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14897 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 June 2020 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 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant TELKOMNIKA Telecommunication, Computing, Electronics and Control Electrocardiography electromyography Insomnia Internet of Things Jurnal Nasional Informatika https://repository.horizon.ac.id/files/original/31c2257be9985b33530573ca6a0dfe46.pdf f994f4e98b353030d449f6bbc6d565cd 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. 18, NO. 3 2020 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 improvement of Gram-negative bacteria identification using convolutional neural network with fine tuning Subject The topic of the resource Gram-negative bacteria, Graphics processing unit, Shape features, The VGG-16 convolutional neural network Description An account of the resource This paper proposes an image processing approach to identify Gram-negative bacteria. Gram-negative bacteria are one of the bacteria that cause lung lobe damage-bacterial samples obtained through smears of the patient's sputum. The first step bacterium should pass the pathogen test process. After that, it bred using Mc Conkey's media. The problem faced is that the process of identifying bacterial objects is still done manually under a fluorescence microscope The contributions offered from this research are focused on observing bacterial morphology for the operation of selecting shape features. The proposed method is a convolutional neural network with fine-tuning. In the stages of the process, a convolutional neural network of the VGG-16 architecture used dropout, data augmentation, and fine-tuning stages. The main goal of the current research was to determine the method selection is to get a high degree of accuracy. This research uses a total sample of 2520 images from 2 different classes. The amount of data used at each stage of training, testing, and validation is 840 images with dimensions of 256x256 pixels, a resolution of 96 points per inch, and a depth of 24 bits. The accuracy of the results obtained at the training stage is 99.20%. Creator An entity primarily responsible for making the resource Budi Dwi Satoto, Imam Utoyo, Riries Rulaningtyas, Eko Budi Khoendori Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14890 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 June 2020 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 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant TELKOMNIKA Telecommunication, Computing, Electronics and Control Gram-negative bacteria Graphics processing unit Jurnal Nasional Informatika Shape features The VGG-16 convolutional neural network https://repository.horizon.ac.id/files/original/b0ad23c637ee7f55c4932dd3c40ceb11.pdf cd36332fba4aafb9d873c5f4de35c7c0 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. 18, NO. 3 2020 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 Single camera depth control in micro class ROV Subject The topic of the resource Ardusub, Camera-based depth control, distance measure, ROV, Triangle similarity Description An account of the resource Navigation is one of the main challenges in an underwater vehicle. To measure and sustain the depth in the micro class remotely operated vehicle (ROV) robot is one of the main demands in the underwater robot competition. There are many sensors that can be used to measure the depth; one of the sensors is using a single camera sensor. In this works, camera-based depth control is developed and evaluated for micro class ROV, namely as fitoplankton SAS ROV. Fitoplankton SAS ROV is a micro ROV prototype with six thrusters. To maintain the depth position, a PID control system with a camera-based depth sensor as the input of the setpoint is used. Moreover, the method for the camera to measure the distance is using the triangle similarity method. In this paper, the experimental scenario is using the rectangular marker to measure the distance, and the value of the depth is processing in the ground control station (GCS). The GCS will send the thruster value to control the depth, which depends on the PID control system. The experiment results show an average of depth accuracy of 95.74% to the depth setpoint. Creator An entity primarily responsible for making the resource Simon Siregar, Muhammad Ikhsan Sani, Sintong Tua Parlindungan Silalahi Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14885 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 June 2020 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 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant TELKOMNIKA Telecommunication, Computing, Electronics and Control Ardusub Camera-based depth control distance measure Jurnal Nasional Informatika ROV Triangle similarity https://repository.horizon.ac.id/files/original/2327373baa7c5c300f2c9dc4ca6a12c5.pdf 7b5fdf43c8f76aba490d8e35acb4842a 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. 18, NO. 3 2020 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 2D mapping using omni-directional mobile robot equipped with LiDAR Subject The topic of the resource 2D mapping, LiDAR, Omni-directional mobile robot, SLAM Description An account of the resource A room map in a robot environment is needed because it can facilitate localization, automatic navigation, and also object searching. In addition, when a room is difficult to reach, maps can provide information that is helpful to humans. In this study, an omni-directional mobile robot equipped with a LiDAR sensor has been developed for 2D mapping a room. The YDLiDAR X4 sensor is used as an indoor scanner. Raspberry Pi 3 B single board computer (SBC) is used to access LiDAR data and then send it to a computer wirelessly for processing into a map. This computer and SBC are integrated in robot operating system (ROS). The movement of the robot can use manual control or automatic navigation to explore the room. The Hector SLAM algorithm determines the position of the robot based on scan matching of the LiDAR data. The LiDAR data will be used to determine the obstacles encountered by the robot. These obstacles will be represented in occupancy grid mapping. The experimental results show that the robot is able to follow the wall using PID control. The robot can move automatically to construct maps of the actual room with an error rate of 4.59%. Creator An entity primarily responsible for making the resource Muhammad Rivai, Dony Hutabarat, Zishwa Muhammad Jauhar Nafis Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14872 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 June 2020 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 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant TELKOMNIKA Telecommunication, Computing, Electronics and Control 2D mapping Jurnal Nasional Informatika LiDAR Omni-directional mobile robot SLAM https://repository.horizon.ac.id/files/original/2bb098a5f8782088fc02a7a82910b086.pdf 3feb0369c2664354d1046a304776de10 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. 18, NO. 3 2020 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 Smart parking management system using SSGA MQTT and real-time database Subject The topic of the resource Firebase, MQTT, Smart parking, Website Description An account of the resource Smart parking system as a part of smart city development has been widely proposed with several research. In this research, proposed a system of parking management application that functions to monitor and control the location of parking slot that can be used by the parking management and parking users. The web application connected to ultrasonic sensor and GPS using MQTT protocol and real-time database. The research used modify algorithm of the SSGA, to optimize the allocation of empty parking slot and MQTT protocol to obtain the faster response time of the system when many users are accessing the website application. The results obtain a variation of sending delays from the client publish to firebase at 4 seconds. Meanwhile, for the sending delay from the broker to firebase the variation was at 2 seconds for each time of data sending. Creator An entity primarily responsible for making the resource Putri Sandika Juwita, Radya Fadhil, Tri Nopiani Damayanti, Dadan Nur Ramadan Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14869 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 June 2020 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 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant TELKOMNIKA Telecommunication, Computing, Electronics and Control Firebase Jurnal Nasional Informatika MQTT Smart parking website https://repository.horizon.ac.id/files/original/ce12d92237605bce01f7fd1b47927767.pdf 052342c24349e271c13839c13b80611c 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. 18, NO. 3 2020 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 Transfer learning with multiple pre-trained network for fundus classification Subject The topic of the resource Classification, Convolutional neural network, Multiple pre-trained network, Neovascularization, Transfer learning Description An account of the resource Transfer learning (TL) is a technique of reuse and modify a pre-trained network. It reuses feature extraction layer at a pre-trained network. A target domain in TL obtains the features knowledge from the source domain. TL modified classification layer at a pre-trained network. The target domain can do new tasks according to a purpose. In this article, the target domain is fundus image classification includes normal and neovascularization. Data consist of 100 patches. The comparison of training and validation data was 70:30. The selection of training and validation data is done randomly. Steps of TL i.e load pre-trained networks, replace final layers, train the network, and assess network accuracy. First, the pre-trained network is a layer configuration of the convolutional neural network architecture. Pre-trained network used are AlexNet, VGG16, VGG19, ResNet50, ResNet101, GoogLeNet, Inception-V3, InceptionResNetV2, and squeezenet. Second, replace the final layer is to replace the last three layers. They are fully connected layer, softmax, and output layer. The layer is replaced with a fully connected layer that classifies according to number of classes. Furthermore, it's followed by a softmax and output layer that matches with the target domain. Third, we trained the network. Networks were trained to produce optimal accuracy. In this section, we use gradient descent algorithm optimization. Fourth, assess network accuracy. The experiment results show a testing accuracy between 80% and 100%. Creator An entity primarily responsible for making the resource Wahyudi Setiawan, Moh. Imam Utoyo, Riries Rulaningtyas Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14868 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 June 2020 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 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant TELKOMNIKA Telecommunication, Computing, Electronics and Control classification Convolutional neural network Jurnal Nasional Informatika Multiple pre-trained network Neovascularization Transfer learning https://repository.horizon.ac.id/files/original/76e84df4c00c97359367558a0f3d3083.pdf de70c1a26493d2f9ef2ce0b8325e36ea 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. 18, NO. 3 2020 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 IoT-based guppy fish farming monitoring and controlling system Subject The topic of the resource Guppy fish farming, IoT, pH water, Salinity Description An account of the resource Nowadays, monitoring of guppy fish farming is still done manually. A monitoring and control system is needed to make it easier for guppy fish farmers. This system consists of a sensor module and monitoring module. Sensor module detects the value of pH and salinity of water and send it to the monitoring module. Monitoring is used as a web-based system using IoT technology. This web-based system serves to monitor and control the pH value and only monitor the salinity value. The workings of the monitoring and control system send data on pH and salinity sent by the sensor and then stored and in database hosting. Data on the database will be displayed on the website using wireless media, making it easier for users to view data and information remotely. Beside, farmers are facilitated in knowing the value of pH and salt content dissolved in water. For the value of a dangerous salt content worth less than 160 and more than 210, if for a pH of less than 6.5 and more than 7.5. Farmers are also facilitated to control pH with servo motors through the website, so farmers can prevent if the pH content dissolved in water is dangerous for guppy fish. Creator An entity primarily responsible for making the resource Periyadi, Gita Indah Hapsari, Zahir Wakid, Sobran Mudopar Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14850 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 June 2020 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 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant TELKOMNIKA Telecommunication, Computing, Electronics and Control Guppy fish farming IoT Jurnal Nasional Informatika pH water Salinity https://repository.horizon.ac.id/files/original/442c45185eb00d21e75a50438c67b114.pdf 03e79ab89dc9e2f63ce92ce0abc1f984 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. 18, NO. 3 2020 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 The comparison study of kernel KC-means and support vector machines for classifying schizophrenia Subject The topic of the resource Fast fuzzy clustering, KC-means, Kernel function, Schizophrenia classification, Support vector machines Description An account of the resource Schizophrenia is one of mental disorder that affects the mind, feeling, and behavior. Its treatment is usually permanent and quite complicated; therefore, early detection is important. Kernel KC-means and support vector machines are the methods known as a good classifier. This research, therefore, aims to compare kernel KC-means and support vector machines, using data obtained from Northwestern University, which consists of 171 schizophrenia and 221 non-schizophrenia samples. The performance accuracy, F1-score, and running time were examined using the 10-fold cross-validation method. From the experiments, kernel KC-means with the sixth-order polynomial kernel gives 87.18 percent accuracy and 93.15 percent F1-score at the faster running time than support vector machines. However, with the same kernel, it was further deduced from the results that support vector machines provides better performance with an accuracy of 88.78 percent and F1-score of 94.05 percent. Creator An entity primarily responsible for making the resource Sri Hartini, Zuherman Rustam Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14847 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 June 2020 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 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant TELKOMNIKA Telecommunication, Computing, Electronics and Control Fast fuzzy clustering Jurnal Nasional Informatika KC-means Kernel function Schizophrenia classification Support vector machines