Journal of ICT Research and Applications <p><em><img class="imgdesc" src="" alt="" />Journal of ICT Research and Applications</em> welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless &amp; Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management. <br /><br />Abstracts and articles published on Journal of ICT Research and Applications are available online at ITB Journal and indexed by <a href="">Scopus</a>, <a href=";hl=id">Google Scholar</a>, <a href="">Directory of Open Access Journals</a>, <a href=";colors=7&amp;lang=en&amp;jour_id=167017">Electronic Library University of Regensburg</a>, <a href=";Find=journal+of+ICT+RESEARCH+AND+APPLICATIONS&amp;GetResourcesBy=QuickSearch&amp;resourceTypeName=allTitles&amp;resourceType=&amp;radioButtonChanged=">EBSCO Open Science Directory</a>, <a href="">International Association for Media and Communication Research (IAMCR)</a>, <a href="">MIAR: Information Matrix for the Analysis of Journals Universitat de Barcelona</a>, Cabells Directories, <a href="">Zurich Open Repository and Archive Journal Database</a>, <a href="">Open Academic Journals Index</a>, <a href=";mod=viewjournal&amp;journal=7391">Indonesian Publication Index</a> and ISJD-Indonesian Institute of Sciences. The journal is under reviewed by Compendex, Engineering Village.</p> <p>ISSN: 2337-5787<br />E-ISSN: 2338-5499</p> <p>Reg. No. 691-SIC-UPPGT-SIT-1963, <a title="Accreditation Decree" href="">Accreditation No. 30/E/KPT/ 2018</a></p> <p>Published by the Institute for Research and Community Services, Institut Teknologi Bandung, in collaboration with <a href="">Indonesian Engineering Association (<em>Persatuan Insinyur Indonesia-PII</em>)</a>.</p> <p> </p> <p><span style="text-decoration: underline;"><strong>Publication History</strong></span></p> <p><strong>Formerly known as:</strong></p> <ul> <li>ITB Journal of Information and Communication Technology (2007 - 2012)</li> </ul> <p>Back issues can be read online at: <a href=""></a></p> <p><span style="text-decoration: underline;"><strong>Scimago Journal Ranking</strong></span></p> <p><a title="SCImago Journal &amp; Country Rank" href=";tip=sid&amp;exact=no"><img src=";title=true" alt="SCImago Journal &amp; Country Rank" border="0" /></a></p> <p><a href="">View My Stats</a></p> <p><!-- Start of StatCounter Code for Default Guide --></p> <noscript>&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;div class="statcounter"&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;a title="web stats" href="" target="_blank"&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;img class="statcounter" src="" alt="web stats"&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;/a&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;/div&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;gt;</noscript> <p><!-- End of StatCounter Code for Default Guide --></p> <p><a href="" rel="license"><img style="border-width: 0;" src="" alt="Creative Commons License" /></a><br />This work is licensed under a <a href="" rel="license">Creative Commons Attribution-NoDerivatives 4.0 International License</a>.</p> LPPM ITB en-US Journal of ICT Research and Applications 2337-5787 A New Indonesian Traffic Obstacle Dataset and Performance Evaluation of YOLOv4 for ADAS <p>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.</p> Agus Mulyanto Wisnu Jatmiko Petrus Mursanto Purwono Prasetyawan Rohmat Indra Borman Copyright (c) 2021 Journal of ICT Research and Applications 2021-03-31 2021-03-31 14 3 286 298 10.5614/itbj.ict.res.appl.2021.14.3.6 Development of Hybrid Automatic Segmentation Technique of a Single Leaf from Overlapping Leaves Image <p class="BodyText1">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.</p> Jibrin Bala Habeeb Bello Salau Ime Jarlath Umoh Adeiza James Onumanyi Salawudeen Ahmed Tijani Basira Yahaya Copyright (c) 2021 Journal of ICT Research and Applications 2021-03-17 2021-03-17 14 3 10.5614/itbj.ict.res.appl.2021.14.3.4 A Proposed Hidden Markov Model Method for Dynamic Device Pairing on Internet of Things End-Devices 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. But if RSSI detection is done in high level, the accuracy is troublesome due to poor sampling rates. This research proposes the Hidden Markov Model method to increase the performance of dynamic device pairing detection. This research implements an IoT system consisting an Access Point, an IoT End Device, an IoT Platform, and an IoT application and performs a comparison of two different methods to prove the concept. The results show that the precision of dynamic device pairing with HMM is better than without HMM and the value is 83,93%. Aji Gautama Putrada Nur Ghaniaviyanto Ramadhan Copyright (c) 2021 Journal of ICT Research and Applications 2021-04-06 2021-04-06 14 3 274 285 10.5614/itbj.ict.res.appl.2020.14.3.5 Review on the Use of ICT Driven Solutions Towards Managing Global Pandemics <p class="Abstract"><span lang="EN-US">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 21<sup>st</sup> 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.</span></p> Navod Neranjan THilakarathne Copyright (c) 2021-02-23 2021-02-23 14 3 207 224 10.5614/itbj.ict.res.appl.2021.14.3.1 Hate Speech Classification in Indonesian Language Tweets by Using Convolutional Neural Network 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. Dewa Ayu Nadia Taradhita I Ketut Gede Darma Putra Copyright (c) 2021-02-23 2021-02-23 14 3 225 239 10.5614/itbj.ict.res.appl.2021.14.3.2 An Adaptive Common Control Channel MAC with Transmission Opportunity in IEEE 802.11ac <p class="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.</p> Azhar Abbad Alsufyani Khaled H. Almotairi Copyright (c) 2021-02-23 2021-02-23 14 3 240 256 10.5614/itbj.ict.res.appl.2021.14.3.3