2 10 41 https://repository.horizon.ac.id/files/original/3b9d5444d7f7659fac107701ac5b0158.pdf ef2642e2336613671ebd0bbaf8361df6 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. 19, NO. 3 2021 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TELKOMNIKA Telecommunication, Computing, Electronics and Control Customer application protocol for data transfer between embedded processor and microcontroller systems Subject The topic of the resource Customer application protocol Embedded processor system Ethernet Lightweight IP Description An account of the resource This paper develops a new customer application protocol (CAP) to improve the efficiency of transferring data between embedded processor and microcontroller systems. The established protocol is characterized by its fidelity and simplicity for using a small header to control and monitor the data flow between the two systems. This is achieved by constructing an embedded processor system with an Ethernet intellectual property (IP) core featured by lightweight IP (lwIP) to settle a connection with a microcontroller device. The embedded system is configured on spartan6E FPGAs slice. The system performance is tested by transferring audio samples and displaying them on chipscope media. The performance test of the designed embedded system with the developed customer application protocol showed fast, efficient and high precision data exchange between the processor and microcontroller systems. Creator An entity primarily responsible for making the resource Mazin R. Khalil, Laith A. Mohammed, Omar N. Yousif Source A related resource from which the described resource is derived http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource Nov 25, 2020 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Customer application protocol Embedded processor system Ethernet Jurnal Nasional Informatika Lightweight IP https://repository.horizon.ac.id/files/original/c5ceae8484ea4dbe694122ef48fd68b0.pdf aaa0462f049005012fafe7d8fcfa1a6f 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. 19, NO. 3 2021 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 efficient method for stamps recognition using Haar wavelet sub-bands Subject The topic of the resource Energy Haar wavelet Low order moment Recognition rate Stamp recognition Description An account of the resource The problem facing certain organizations such as insurance companies and government institutions where a huge amount of documents is handled every day, hence an automated stamp recognition system is required. The image of the stamp may be on a different background, with different sizes, and suffers from rotating in different directions, also, the appearance of soft areas (patches) or small points as noise. Thus, the main objective of this paper is to extract and recognize the color stamp image. This paper proposed a method to recognize stamps, by using a technique named Haar wavelet sub-bands. The devised method has four stages: 1) extracts the stamp image; 2) preprocessing the image; 3) feature extraction; and 4) matching. This paper is implemented using C sharp (Microsoft Visual Studio 2012) programming language. The experiments conducted on a stamp dataset showed that the proposed method has a great capability to recognize stamps when using Haar wavelet transform with two sets of features (i.e., 100% recognition rate for energy features and 99.93% recognition rate for low order moment). Creator An entity primarily responsible for making the resource Maha A. Rajab, Loay E. George Source A related resource from which the described resource is derived http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource Nov 25, 2020 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Energy Haar wavelet Jurnal Nasional Informatika Low order moment Recognition rate Stamp recognition https://repository.horizon.ac.id/files/original/55a022f19cc5f8967e0e6d2f4659adec.pdf ddbf47a43858c07b81cb150ff13ea485 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. 19, NO. 3 2021 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 Bigram feature extraction and conditional random fields model to improve text classification clinical trial document Subject The topic of the resource Clinical trials Conditional random fields Deep learning Text classification Description An account of the resource In the field of health and medicine, there is a very important term known as clinical trials. Clinical trials are a type of activity that studies how the safest way to treat patients is. These clinical trials are usually written in unstructured free text which requires translation from a computer. The aim of this paper is to classify the texts of cancer clinical trial documents consisting of unstructured free texts taken from cancer clinical trial protocols. The proposed algorithm is conditional random Fields and bigram features. A new classification model from the cancer clinical trial document text is proposed to compete with other methods in terms of precision, recall, and f-1 score. The results of this study are better than the previous results, namely 88.07 precision, 88.05 recall and f-1 score 88.06. Creator An entity primarily responsible for making the resource Jasmir Jasmir, Siti Nurmaini, Reza Firsandaya Malik, Bambang Tutuko Source A related resource from which the described resource is derived http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource Oct 29, 2020 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Clinical trials Conditional random fields deep learning Jurnal Nasional Informatika text classification https://repository.horizon.ac.id/files/original/22f6e6c03a7ae43a5239e40df5e64acd.pdf 8d1791e68262affb6b2810f1fb8b91de 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. 19, NO. 3 2021 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 Summarization of COVID-19 news documents deep learning-based using transformer architecture Subject The topic of the resource COVID-19 Deep learning News summarization Transformer architecture Description An account of the resource Facing the news on the internet about the spreading of Corona virus disease 2019 (COVID-19) is challenging because it is required a long time to get valuable information from the news. Deep learning has a significant impact on NLP research. However, the deep learning models used in several studies, especially in document summary, still have a deficiency. For example, the maximum output of long text provides incorrectly. The other results are redundant, or the characters repeatedly appeared so that the resulting sentences were less organized, and the recall value obtained was low. This study aims to summarize using a deep learning model implemented to COVID-19 news documents. We proposed transformer as base language models with architectural modification as the basis for designing the model to improve results significantly in document summarization. We make a transformer-based architecture model with encoder and decoder that can be done several times repeatedly and make a comparison of layer modifications based on scoring. From the resulting experiment used, ROUGE-1 and ROUGE-2 show the good performance for the proposed model with scores 0.58 and 0.42, respectively, with a training time of 11438 seconds. The model proposed was evidently effective in improving result performance in abstractive document summarization. Creator An entity primarily responsible for making the resource Nur Hayatin, Kharisma Muzaki Ghufron, Galih Wasis Wicaksono Source A related resource from which the described resource is derived http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource Oct 23, 2020 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text COVID-19 deep learning Jurnal Nasional Informatika News summarization Transformer architecture https://repository.horizon.ac.id/files/original/f8d319224fafd0326b6add870f211d37.pdf 9acb2080d099143bdc48f07098d57508 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. 19, NO. 3 2021 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 Prolonging WSNs lifetime in IoT applications based on consistent algorithm Subject The topic of the resource Cluster head Network lifetime Residual energy Throughput Wireless sensor network Description An account of the resource The rapid expansion in the use of internet of things (IoT) imposes the importance of developing its infrastructure. One of the most important components in IoT infrastructures is the wireless sensor networks. The development of these networks largely depends on how to extend their life. As one of the effective options adopted in this field is the use of cluster heads (CHs). This paper introduces an algorithm that efficiently determine the CHs by iteratively extracting an associative value for each node depending on two factors; node's residual energy, and geometrical distances between nodes and base station. In light of the extracted values, the nodes with the best associative values are elected as CHs based on adjustable threshold determined according to the network usage requirements. The algorithm has proven a significant increase in the lifetime of the network, as well as, it has proven its ability to maintain a high level of energy for long period of time. The proposed algorithm outperformed similar protocols like low energy adaptive clustering hierarchy (LEACH) and region based low energy adaptive clustering hierarchy (R-LEACH) by prolonging the network lifetime and increasing network stability, as well as enhances the throughput significantly. Creator An entity primarily responsible for making the resource Mohammed Ali Tawfeeq, Mahmood Zaki Abdullah Source A related resource from which the described resource is derived http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource Oct 23, 2020 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Cluster head Jurnal Nasional Informatika Network lifetime Residual energy Throughput Wireless sensor network https://repository.horizon.ac.id/files/original/cc6d16850aa839235c2d56a5d0831439.pdf ed7a1af67ed46badc2d3f527ec6cf848 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. 19, NO. 3 2021 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 Overlapped hierarchical clusters routing protocol for improving quality of service Subject The topic of the resource Average delay Energy consumption Quality of service Routing protocol Wireless sensor network Description An account of the resource The rapid development in communications and sensors technologies make wireless sensor networks (WSNs) as essential key in several advanced applications such as internet of things (IoT). The increasing demands on using WSNs required high quality of services (QoS) because most WSNs applications have critical requirements. This work aims to offer a routing protocol to improve the QoS in WSNs, taking in consideration its ability to prolong the lifetime of the network, optimize the utilization of the limited bandwidth available, and decrease the latency that accompanies the packets transmitted to the gateway. The proposed protocol is called overlapped hierarchical cluster routing protocol (OHCRP). OHCRP is compared with the traditional routing protocols such as SPEED, and Two-hop velocity-based routing protocol (THVR). The results show that OHCRP reduces latency effectively and achieve high energy conservation, which lead to increase the network lifetime and insure network availability. Creator An entity primarily responsible for making the resource Hayder Fakher Jassim, Mohammed A. Tawfeeq, Sawsan M. Mahmoud Source A related resource from which the described resource is derived http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource Oct 23, 2020 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Average delay Energy consumption Jurnal Nasional Informatika Quality of service Routing protocol Wireless sensor network https://repository.horizon.ac.id/files/original/09585f33f7135f37403210f145018525.pdf 8b0c807c69397e34d30202e53d6107f6 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. 19, NO. 3 2021 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 Notification information system android-based for spreading school information Subject The topic of the resource Android-based Notification Push messaging School information Spreading information Description An account of the resource School is a place where students can learn a lot, but beside as a place to learning, the school also has many events and activities that must be attended by students, or even sometimes must be attended by parents. To give information or invintation to the parents, some school give information by manual letter, email, social media or online chatting, but all that method to spread information has a weakness, because sometimes information that shown or give to parents or to students, often not accepted by students or parents, and beside that, to spread message to a lot people need a lot time and need a lot cost. To solve this issue, in this study will be build Android-based information notification application with push messaging services, where if there a new information from the school, the students or parents will receive notification new information to their Android smartphone, and after that, the details of this information can be seen in the applications. To get acceptance user result, we using user acceptance test (UAT) was conducted using the TAM method, the result has positive results were 84.88% from parent or student's side and obtained 84.67% from school administration's perspective as provider information, which means this system can be accepted and as expected by the user who receiving the information and by the school as information provider. Creator An entity primarily responsible for making the resource Wirawan Istiono, Jansen Sampurna Source A related resource from which the described resource is derived http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource Nov 5, 2020 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Android-based Jurnal Nasional Informatika Notification Push messaging School information Spreading information https://repository.horizon.ac.id/files/original/d41738188262f8dbc611891edea50e58.pdf 4aaead6fd146f29389889b16d8005bf6 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. 19, NO. 3 2021 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 Notification information system android-based for spreading school information Subject The topic of the resource Android-based Notification Push messaging School information Spreading information Description An account of the resource School is a place where students can learn a lot, but beside as a place to learning, the school also has many events and activities that must be attended by students, or even sometimes must be attended by parents. To give information or invintation to the parents, some school give information by manual letter, email, social media or online chatting, but all that method to spread information has a weakness, because sometimes information that shown or give to parents or to students, often not accepted by students or parents, and beside that, to spread message to a lot people need a lot time and need a lot cost. To solve this issue, in this study will be build Android-based information notification application with push messaging services, where if there a new information from the school, the students or parents will receive notification new information to their Android smartphone, and after that, the details of this information can be seen in the applications. To get acceptance user result, we using user acceptance test (UAT) was conducted using the TAM method, the result has positive results were 84.88% from parent or student's side and obtained 84.67% from school administration's perspective as provider information, which means this system can be accepted and as expected by the user who receiving the information and by the school as information provider. Creator An entity primarily responsible for making the resource Wirawan Istiono, Jansen Sampurna Source A related resource from which the described resource is derived http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource Nov 5, 2020 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Android-based Jurnal Nasional Informatika Notification Push messaging School information Spreading information https://repository.horizon.ac.id/files/original/ea8c29181d442fa639ecfb286d0b211a.pdf 4aaead6fd146f29389889b16d8005bf6 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. 19, NO. 3 2021 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 Dialogue management using reinforcement learning Subject The topic of the resource Dialogue management Human-robot interaction Knowledge growing Reinforcement learning Description An account of the resource Dialogue has been widely used for verbal communication between human and robot interaction, such as assistant robot in hospital. However, this robot was usually limited by predetermined dialogue, so it will be difficult to understand new words for new desired goal. In this paper, we discussed conversation in Indonesian on entertainment, motivation, emergency, and helping with knowledge growing method. We provided mp3 audio for music, fairy tale, comedy request, and motivation. The execution time for this request was 3.74 ms on average. In emergency situation, patient able to ask robot to call the nurse. Robot will record complaint of pain and inform nurse. From 7 emergency reports, all complaints were successfully saved on database. In helping conversation, robot will walk to pick up belongings of patient. Once the robot did not understand with patient’s conversation, robot will ask until it understands. From asking conversation, knowledge expands from 2 to 10, with learning execution from 1405 ms to 3490 ms. SARSA was faster towards steady state because of higher cumulative rewards. Q-learning and SARSA were achieved desired object within 200 episodes. It concludes that reinforcement learning (RL) method to overcome robot knowledge limitation in achieving new dialogue goal for patient assistant were achieved. Creator An entity primarily responsible for making the resource Binashir Rofi’ah, Hanif Fakhrurroja, Carmadi Machbub Source A related resource from which the described resource is derived http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource Oct 14, 2020 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text Dialogue management Human-robot interaction Jurnal Nasional Informatika Knowledge growing Reinforcement learning https://repository.horizon.ac.id/files/original/b779f08c13c98646d0f9f3c5bfe65c97.pdf cc5349e1824612b8ac669c40659388a2 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. 19, NO. 3 2021 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 Parallel classification and optimization of telco trouble ticket dataset Subject The topic of the resource Classification Hadoop Optimization Spark Trouble ticket Description An account of the resource In the big data age, extracting applicable information using traditional machine learning methodology is very challenging. This problem emerges from the restricted design of existing traditional machine learning algorithms, which do not entirely support large datasets and distributed processing. The large volume of data nowadays demands an efficient method of building machine- learning classifiers to classify big data. New research is proposed to solve problems by converting traditional machine learning classification into a parallel capable. Apache Spark is recommended as the primary data processing framework for the research activities. The dataset used in this research is related to the telco trouble ticket, identified as one of the large volume datasets. The study aims to solve the data classification problem in a single machine using traditional classifiers such as W-J48. The proposed solution is to enable a conventional classifier to execute the classification method using big data platforms such as Hadoop. This study’s significant contribution is the output matrix evaluation, such as accuracy and computational time taken from both ways resulting from hyper-parameter tuning and improvement of W-J48 classification accuracy for the telco trouble ticket dataset. Additional optimization and estimation techniques have been incorporated into the study, such as grid search and cross-validation method, which significantly improves classification accuracy by 22.62% and reduces the classification time by 21.1% in parallel execution inside the big data environment. Creator An entity primarily responsible for making the resource Fauzy Che Yayah, Khairil Imran Ghauth, Choo-Yee Ting Source A related resource from which the described resource is derived http://journal.uad.ac.id/index.php/TELKOMNIKA Date A point or period of time associated with an event in the lifecycle of the resource Sep 20, 2020 Contributor An entity responsible for making contributions to the resource peri irawan Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource english Type The nature or genre of the resource text classification Hadoop Jurnal Nasional Informatika Optimization Spark Trouble ticket