3 10 67 https://repository.horizon.ac.id/files/original/34099c07e59e0a5d09018ed6de9b7f1d.pdf e3ea0c037c3250dfa8eea63edce99a82 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 WSN nodes power consumption using multihop routing protocol for illegal cutting forest Subject The topic of the resource Energy efficient, Illegal cutting tree, Multihop routing protocol, Sensor node, Wireless sensor network Description An account of the resource The need for an automation system from a remote area cannot be separated from the role of the wireless sensor network. However, the battery consumption is still a problem that influences the lifetime of the system. This research focused on studying how to characterize the power consumption on each sensor node using multihop routing protocol in the illegal logging field, to get the prediction lifetime of the network. The system is designed by using six sensor nodes in a master-slave connection and implemented in a tree topology. Each sensor node is consisting of a sound sensor, vibration sensor, Xbee communication, current and voltage sensor, and Arduino nano. The system is tested using battery 10050 mAH with several scenarios to have calculated how long the battery lifetime can be predicted. The results stated that the master node on the network depleted the power of the battery faster than the slave node since the more slaves connected to the master, the more energy the battery consumes. Creator An entity primarily responsible for making the resource Giva Andriana Mutiara, Nanna Suryana, Othman Mohd Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14844 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 Energy efficient Illegal cutting tree Jurnal Nasional Informatika Multihop routing protocol Sensor node Wireless sensor network https://repository.horizon.ac.id/files/original/99695571546c226050ddd77385c18fe1.pdf d55dc356395727098489effd9a8158f9 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 Convolutional neural network for maize leaf disease image classification Subject The topic of the resource AlexNet, Classification, Convolutional neural network, k-nearest neighbor, Maize leaf image Description An account of the resource This article discusses the maize leaf disease image classification. The experimental images consist of 200 images with 4 classes: healthy, cercospora, common rust and northern leaf blight. There are 2 steps: feature extraction and classification. Feature extraction obtains features automatically using convolutional neural network (CNN). Seven CNN models were tested i.e AlexNet, virtual geometry group (VGG) 16, VGG19, GoogleNet, Inception-V3, residual network 50 (ResNet50) and ResNet101. While the classification using machine learning methods include k-Nearest neighbor, decision tree and support vector machine. Based on the testing results, the best classification was AlexNet and support vector machine with accuracy, sensitivity, specificity of 93.5%, 95.08%, and 93%, respectively. Creator An entity primarily responsible for making the resource Mohammad Syarief, Wahyudi Setiawan Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14840 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 AlexNet classification Convolutional neural network Jurnal Nasional Informatika K-Nearest Neighbor Maize leaf image https://repository.horizon.ac.id/files/original/4ad9e2a3a27a8ee164523015cba0a047.pdf 9594b5db7533de7492ba85ec68444f1d 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 Pulmonary rontgen classification to detect pneumonia disease using convolutional neural networks Subject The topic of the resource Classification, CNNs, Pneumonia, X-ray Description An account of the resource Every organism is known to have different structural and biological system, specifically in human immunity. If the immune system weakens, the body is susceptible to disease especially pneumonia disease. Pneumonia disease is caused by the bacterium Streptococcus pneumonia, and according to the World Health Organization (WHO), it is identified as the leading cause of death in children worldwide, which is about 16%, for those under the age of 5. Meanwhile, someone who is predicted to have pneumonia by a doctor is recommended for an X-ray. Convolutional neural networks (CNNs) is an accurate method to help the doctor's predicted correctly. CNNs is divided into two important parts, feature extraction layer (convolutional layer and pooling layer) and fully connected layer. CNNs method is commonly used for image data classification. Therefore, CNNs is suitable to classify pneumonia based on lung X-ray in order to obtain accurate prediction results. And then, the results can be seen based on the graph of the accuracy value and the loss value. When CNNs method applied on the dataset, an accuracy rate of 97% was obtained. Based on accuracy rate, it shows that CNNs can be applied to image data (especially lung X-ray) for classification of pneumonia disease. Creator An entity primarily responsible for making the resource Zuherman Rustam, Rivan Pratama Yuda, Hamimah Alatas, Chelvian Aroef Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14839 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 Language A language of the resource English 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 CNNs Jurnal Nasional Informatika pneumonia X-ray https://repository.horizon.ac.id/files/original/e70a62ad09dbf22f86662a235a0ec1bf.pdf e9048b1c40f1cf5e5111257b8f0dca4f 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 Prediction schizophrenia using random forest Subject The topic of the resource Classification, Machine learning, Random forest, Schizophrenia Description An account of the resource Schizophrenia is a mental illness with a very bad impact on sufferers, attacking the part of human brain that disables the ability to think clearly. In 2018, Rustam and Rampisela classified Schizophrenia by using Northwestern University Schizophrenia Data, based on 66 variables consisting of group, demographic, and questionnaires statistics, based on the scale for the assessment of negative symptoms (SANS), and scale for the assessment of positive symptoms (SAS), and then classifiers that used are SVM with Gaussian kernel and Twin SVM with linear and Gaussian kernel. Furthermore, this research is novel based on the use of random forest as a classifier, in order to predict Schizophrenia. The result obtained is reported in percentage of accuracy, both in training and testing of random forest, which was 100%. This classification, therefore, shows the best value in contrast with prior methods, even though only 40% of training data set was used. This is very important, especially in the cases of rare disease, including schizophrenia. Creator An entity primarily responsible for making the resource Zuherman Rustam, Glori Stephani Saragih Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14837 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 Jurnal Nasional Informatika machine learning Random Forest Schizophrenia https://repository.horizon.ac.id/files/original/a025139ad16bc421dd93cf85dde3187b.pdf 3fb2660fe032b34f7e7a3b75f15f76b8 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 Towards cognitive artificial intelligence device: an intelligent processor based on human thinking emulation Subject The topic of the resource Cognitive artificial intelligence, Human thinking emulation, Intelligent instrumentation, Intelligent processor, Knowledge growing system Description An account of the resource The intervention of computer technology began the era of a more intelligent and independent instrumentation system based on intelligent methods such as artificial neural networks, fuzzy logic, and genetic algorithm. On the other hand, processor with artificial cognitive ability has also been discovered in 2016. The architecture of the processor was designed based on knowledge growing system (KGS) algorithm, a new concept in artificial intelligence (AI) which is focused on the emulation of the process of the growing of knowledge in human brain after getting new information from human sensory organs. KGS is considered as the main method of a new perspective in AI called as cognitive artificial intelligence (CAI). The design is to obtain the architecture of the data path of the processor. We found that the complexity of the processor circuit is determined by the number of combinations of sensors and hypotheses as the main inputs to the processor. This paper addresses the development of an intelligence processor based on cognitive AI in order to realize an Intelligence Instrumentation System. The processor is implemented in field programmable gate array (FPGA) and able to perform human thinking emulation by using KGS algorithm. Creator An entity primarily responsible for making the resource Catherine Olivia Sereati, Arwin Datumaya Wahyudi Sumari, Trio Adiono, Adang Suwandi Ahmad Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14835 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 Cognitive artificial intelligence Human thinking emulation Intelligent instrumentation Intelligent processor Jurnal Nasional Informatika Knowledge growing system https://repository.horizon.ac.id/files/original/445482ed03e42160864999a1159047eb.pdf 034414cf11a8204c2d2c7fd4b25a4e25 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 OFDM synchronization system using wavelet transform for symbol rate detection Subject The topic of the resource Orthogonal frequency-division, multiplexing (OFDM), Symbol rate detection, Synchronization, Timing recovery system (TRS), Wavelet Description An account of the resource In radio communications, using wavelet signal analysis to recover the symbol rate timing clock of orthogonal frequency-division multiplexing (OFDM) is a new approach that can tolerate signal distortion from intersymbol interference (ISI) and intercarrier interference of encoding digital data on multiple carrier frequencies. Typically, the reception synchronization with wavelet signal analysis in OFDM can improve the performance over the fourier transform-based OFDM. However, a synchronization procedure that is stable against distortion and noise is essential to diminish the symbol synchronization establishment and operation sampling period. In this paper, we propose an OFDM synchronization system and analyze the impact of the wavelet denoise procedure on the OFDM system, which extracts the symbol rate of the OFDM frame. The evaluation results show that the proposed system can optimize the frequency window size to enable an efficient timing and frequency offset estimation with high and stable performance in terms of bit error rate (BER) and Frame Error Rate (FER) especially when the value of EbN0 (a normalized signal-to-noise ratio SNR measure) is greater than 8 dB, thanks to the wavelet transform. Creator An entity primarily responsible for making the resource Masaru Sawada, Quang Ngoc Nguyen, Mohammed Mustafa Alhasani, Cutifa Safitri, Takuro Sato Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14834 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 Jurnal Nasional Informatika multiplexing (OFDM) Orthogonal frequency-division Symbol rate detection synchronization Timing recovery system (TRS) Wavelet https://repository.horizon.ac.id/files/original/c9e539ca07a5b60cdc5b3a5c63d84fd9.pdf 19c2b4f7ab29507720c74b565181352e 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 Low-frequency response test device of electret condenser microphone Subject The topic of the resource Class A amplifier, Electret condenser microphone, Loudspeaker, Low-frequency, Test device Description An account of the resource Arterial pulse measurement using electret condenser microphone requires the standard to validate the value of the measurement. This standard requires the test device to reproducing the mechanical vibration to emulate the arterial pulse vibration. The main objective of this paper is to discuss the test device of electret condenser microphone using class A amplifiers and low-frequency loudspeaker. To validate this pulse measurement, this class A amplifier is examined under an experimental setup. The experiments showed that the device can be used as an alternative solution to generate the mechanical signal source to simulate the human arterial pulse. Creator An entity primarily responsible for making the resource Erni Yudaningtyas, Achsanul Khabib, Waru Djuriatno, Zakiyah Amalia, Ramadhani Kurniawan Subroto Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14831 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 Class A amplifier Electret condenser microphone Jurnal Nasional Informatika Loudspeaker Low-frequency Test device https://repository.horizon.ac.id/files/original/5a403bc72b70a984e1d455a99fa89144.pdf 8b3c23eb48e77e5dca1e6fa28be013d7 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 Stereo vision-based obstacle avoidance module on 3D point cloud data Subject The topic of the resource 3D Vision, Obstacle avoidance, Obstacle extraction, Timed elastic band Description An account of the resource This paper deals in building a 3D vision-based obstacle avoidance and navigation. In order for an autonomous system to work in real life condition, a capability of gaining surrounding environment data, interpret the data and take appropriate action is needed. One of the required capability in this matter for an autonomous system is a capability to navigate cluttered, unorganized environment and avoiding collision with any present obstacle, defined as any data with vertical orientation and able to take decision when environment update exist. Proposed in this work are two-step strategy of extracting the obstacle position and orientation from point cloud data using plane based segmentation and the resultant segmentation are mapped based on obstacle point position relative to camera using occupancy grid map to acquire obstacle cluster position and recorded the occupancy grid map for future use and global navigation, obstacle position gained in grid map is used to plan the navigation path towards target goal without going through obstacle position and modify the navigation path to avoid collision when environment update is present or platform movement is not aligned with navigation path based on timed elastic band method. Creator An entity primarily responsible for making the resource Eko Purbo Wahyono, Endah Suryawati Ningrum, Raden Sanggar Dewanto, Dadet Pramadihanto Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14829 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 3D Vision Jurnal Nasional Informatika Obstacle avoidance Obstacle extraction Timed elastic band https://repository.horizon.ac.id/files/original/3475c1fe23a4d8717d60870f1ff6f89b.pdf 0e1c367ff620bd98574a1279c60deb41 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 Knowledge internalization in e-learning management system Subject The topic of the resource eLMS, Explicit knowledge, Internalization, Knowledge management, Tacit knowledge Description An account of the resource Knowledge management (KM) is gaining significance as a worthy research subject due to its contribution to the success of wide range of organizations, including higher education institutions. Knowledge internalization is mainly related to capability to see the relevance of one’s knowledge in a real situation. e-learning management system (eLMS) provides an online teaching and learning platform for students (as novice users) and lecturers (as experts in their specific domains) with the potential to improve students' knowledge acquisition. Thus, this empirical study was conducted to investigate the impact of knowledge internalization in eLMS among students in Iraq. To achieve these aims, survey research design was adopted and the sample comprised of 109 undergraduate students attending College of Information Technology in Iraq, all of whom were actively engaged in eLMS activities. The findings show that knowledge can be effectively transferred from lecturers to students via eLMS. Additionally, eLMS enable students to improve their prior knowledge through the internalization process, while also motivating them to share their knowledge with other students. Creator An entity primarily responsible for making the resource Zahraa Abed Aljasim Muhisn, Mazida Ahmad, Mazni Omar, Sinan Adnan Muhisn Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14817 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 eLMS Explicit knowledge Internalization Jurnal Nasional Informatika Knowledge management Tacit knowledge https://repository.horizon.ac.id/files/original/d058d3279206eaed333b7e69fdea5e5d.pdf cc7b7357405132ce4a0c7fc30ea6a7e1 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 Predicting student performance in higher education using multi-regression models Subject The topic of the resource Data mining, Education, Multi-regression, Prediction, Student Description An account of the resource Supporting the goal of higher education to produce graduation who will be a professional leader is a crucial. Most of universities implement intelligent information system (IIS) to support in achieving their vision and mission. One of the features of IIS is student performance prediction. By implementing data mining model in IIS, this feature could precisely predict the student’ grade for their enrolled subjects. Moreover, it can recognize at-risk students and allow top educational management to take educative interventions in order to succeed academically. In this research, multi-regression model was proposed to build model for every student. In our model, learning management system (LMS) activity logs were computed. Based on the testing result on big students datasets, courses, and activities indicates that these models could improve the accuracy of prediction model by over 15%. Creator An entity primarily responsible for making the resource Leo Willyanto Santoso, Yulia Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14802 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 data mining Education Jurnal Nasional Informatika Multi-regression Prediction Student