1 10 7 https://repository.horizon.ac.id/files/original/2d1e550ad2ffc84beb81e7fa203bd6f0.pdf 2f05f0cfc88afd236296f718290c550d 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. 14 NO. 3 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni 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 Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020 Hate Speech Classification in Indonesian Language Tweets by Using Convolutional Neural Network Subject The topic of the resource convolutional neural network (CNN); deep learning; hate speech; Indonesian language; text classification. Description An account of the resource Abstract. The rapid development of social media, added with the freedom of social media users to express their opinions, has influenced the spread of hate speech aimed at certain groups. Online based hate speech can be identified by the used of derogatory words in social media posts. Various studies on hate speech classification have been done, however, very few researches have been conducted on hate speech classification in the Indonesian language. This paper proposes a convolutional neural network method for classifying hate speech in tweets in the Indonesian language. Datasets for both the training and testing stages were collected from Twitter. The collected tweets were categorized into hate speech and non-hate speech. We used TF-IDF as the term weighting method for feature extraction. The most optimal training accuracy and validation accuracy gained were 90.85% and 88.34% at 45 epochs. For the testing stage, experiments were conducted with different amounts of testing data. The highest testing accuracy was 82.5%, achieved by the dataset with 50 tweets in each category. Creator An entity primarily responsible for making the resource Dewa Ayu Nadia Taradhita & I Ketut Gede Darma Putra Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2021.14.3.2 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 23 Maret 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 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 Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020 convolutional neural network (CNN) deep learning hate speech Indonesian language Jurnal Nasional Informatika text classification https://repository.horizon.ac.id/files/original/914135ad29795e4511f5f6cde2bb1a58.pdf 5c8fcf471b40ad51f62280b5a4e496a8 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. 14 NO. 3 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni 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 Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020 An Adaptive Common Control Channel MAC with Transmission Opportunity in IEEE 802.11ac Subject The topic of the resource control channel; dynamic; dynamic multi-channel; IEEE 802.11 protocols; transmission opportunity. Description An account of the resource Abstract. Spectral utilization is a major challenge in wireless ad hoc networks due in part to using limited network resources. For ad hoc networks, the bandwidth is shared among stations that can transmit data at any point in time. It is important to maximize the throughput to enhance the network service. In this paper, we propose an adaptive multi-channel access with transmission opportunity protocol for multi-channel ad hoc networks, called AMCA-TXOP. For the purpose of coordination, the proposed protocol uses an adaptive common control channel over which the stations negotiate their channel selection based on the entire available bandwidth and then switch to the negotiated channel. AMCA-TXOP requires a single radio interface so that each station can listen to the control channel, which can overhear all agreements made by the other stations. This allows parallel transmission to multiple stations over various channels, prioritizing data traffic to achieve the quality-of-service requirements. The proposed approach can work with the 802.11ac protocol, which has expanded the bandwidth to 160 MHz by channel bonding. Simulations were conducted to demonstrate the throughput gains that can be achieved using the AMCA-TXOP protocol. Moreover, we compared our protocol with the IEEE 802.11ac standard protocols. Creator An entity primarily responsible for making the resource Azhar A. Alsufyani & Khaled H. Almotairi Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2021.14.3.3 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 23 Maret 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 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 Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020 control channel Dynamic dynamic multi-channel IEEE 802.11 protocols Jurnal Nasional Informatika transmission opportunity https://repository.horizon.ac.id/files/original/5789a392f711a8922f07233a7d487054.pdf 07600793950ff99ce2be7c469fb0609d 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. 14 NO. 3 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni 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 Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020 A Proposed Hidden Markov Model Method for Dynamic Device Pairing on Internet of Things End Devices Subject The topic of the resource device pairing; dynamic device pairing; hidden Markov model; Internet of Things; received signal strength indicator. Description An account of the resource Abstract. Dynamic device pairing is a context-based zero-interaction method to pair end devices in an IoT system based on received signal strength indicator (RSSI) values. However, if RSSI detection is done at a high level, the accuracy is compromised due to poor sampling rates. This paper proposes to use a hidden Markov model to increase the performance of dynamic device pairing detection. An IoT system was implemented consisting of an access point, an IoT end device, an IoT platform, and an IoT application. A comparison was made between two different methods to prove the concept. The results show that the accuracy of dynamic device pairing with HMM (83.93%) was better than without HMM compared (68.12%). Creator An entity primarily responsible for making the resource Aji Gautama Putrada & Nur Ghaniaviyanto Ramadhan Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2020.14.3.5 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 23 Maret 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 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 Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020 device pairing dynamic device pairing hidden Markov model Internet of Things Jurnal Nasional Informatika received signal strength indicator https://repository.horizon.ac.id/files/original/0c92fa44f903e1440756f386c68b3fc1.pdf b1679502da6493872927b85a6407d22a 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. 14 NO. 3 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni 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 Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020 Review on the Use of ICT Driven Solutions Towards Managing Global Pandemics Subject The topic of the resource eHealth; global pandemic; ICT; medical IoT; mHealth; public health. Description An account of the resource Abstract. A pandemic is a contagious disease outbreak that happens over a large geographic area and affects a great portion of the population while new pathogens appear for which people have less immunity and no vaccines are available. The disease can spread from person to person in a very short time. Health workers are at greater risk of infection because of patients who are carriers. In the 21st century, where everyone is connected through digital technologies, information and communication technology (ICT) plays a critical role in improving healthcare for individuals and larger communities. ICT can be divided into a wide variety of application domains that signify its importance as a major technological paradigm. It is currently drawing large attention because of its potential to alleviate the burden on healthcare systems caused by the rise in chronic diseases, aging populations and pandemic situations. This study surveyed substantial knowledge on how effective ICT healthcare solutions can be used towards managing global pandemics. In order to make it more comprehensive, we also present a four-phase strategic framework that can be deployed to alleviate the strain on healthcare resources during a pandemic, which was derived from the reviewed literature. Further, we also discuss how ICT technologies can be used towards managing pandemic situations chronographically during the transformation from a simple disease outbreak into a global pandemic. Creator An entity primarily responsible for making the resource Navod Neranjan Thilakarathne Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2021.14.3.1 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 23 Maret 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 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 Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020 eHealth global pandemic ICT Jurnal Nasional Informatika medical IoT mHealth Public health https://repository.horizon.ac.id/files/original/f0d610d631fae47fa9f84bae725e2d2a.pdf 36b75278bc0940e7d96bc0592502d744 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. 14 NO. 3 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni 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 Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020 Development of Hybrid Automatic Segmentation Technique of a Single Leaf from Overlapping Leaves Image Subject The topic of the resource agriculture; leaf; precision; segmentation; Sobel. Description An account of the resource Abstract. The segmentation of a single leaf from an image with overlapping leaves is an important step towards the realization of effective precision agricultural systems. A popular approach used for this segmentation task is the hybridization of the Chan-Vese model and the Sobel operator CV-SO. This hybridized approach is popular because of its simplicity and effectiveness in segmenting a single leaf of interest from a complex background of overlapping leaves. However, the manual threshold and parameter tuning procedure of the CV-SO algorithm often degrades its detection performance. In this paper, we address this problem by introducing a dynamic iterative model to determine the optimal parameters for the CV-SO algorithm, which we dubbed the Dynamic CV-SO (DCV-SO) algorithm. This is a new hybrid automatic segmentation technique that attempts to improve the detection performance of the original hybrid CV-SO algorithm by reducing its mean error rate. The results obtained via simulation indicate that the proposed method yielded a 1.23% reduction in the mean error rate against the original CV-SO method. Creator An entity primarily responsible for making the resource Bala Jibrin, Habeeb Bello-Salau, Ime Jarlath Umoh, Adeiza James Onumanyi, Ahmed Tijani Salawudeen & Basira Yahaya Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2021.14.3.4 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 23 Maret 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 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 Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020 agriculture Jurnal Nasional Informatika leaf precision segmentation Sobel https://repository.horizon.ac.id/files/original/9b09b2fe18b06226db60a4577e7efcfa.pdf 722e58e19022b305fbf227334a999fd7 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. 14 NO. 3 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni 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 Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020 A New Indonesian Traffic Obstacle Dataset and Performance Evaluation of YOLOv4 for ADAS Subject The topic of the resource ADAS; convolutional neural network (CNN); Indonesian Traffic Obstacle Dataset; intelligent transport systems (ITS); YOLOv4. Description An account of the resource Abstract. Intelligent transport systems (ITS) are a promising area of studies. One implementation of ITS are advanced driver assistance systems (ADAS), involving the problem of obstacle detection in traffic. This study evaluated the YOLOv4 model as a state-of-the-art CNN-based one-stage detector to recognize traffic obstacles. A new dataset is proposed containing traffic obstacles on Indonesian roads for ADAS to detect traffic obstacles that are unique to Indonesia, such as pedicabs, street vendors, and bus shelters, and are not included in existing datasets. This study established a traffic obstacle dataset containing eleven object classes: cars, buses, trucks, bicycles, motorcycles, pedestrians, pedicabs, trees, bus shelters, traffic signs, and street vendors, with 26,016 labeled instances in 7,789 images. A performance analysis of traffic obstacle detection on Indonesian roads using the dataset created in this study was conducted using the YOLOv4 method. Creator An entity primarily responsible for making the resource Agus Mulyanto, Wisnu Jatmiko, Petrus Mursanto, Purwono Prasetyawan & Rohmat Indra Borman Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2021.14.3.6 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 23 Maret 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 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 Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020 ADAS convolutional neural network (CNN) Indonesian Traffic Obstacle Dataset intelligent transport systems (ITS) Jurnal Nasional Informatika YOLOv4 https://repository.horizon.ac.id/files/original/2e34596f12e240aff89a86a3259ad5ed.png 0374c59a31eb525bda02b357ac0a0e28 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. 14 NO. 3 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Still Image A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Cover Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020