Vol. 14 No. 3 2020
Dublin Core
Title
Vol. 14 No. 3 2020
Collection Items
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
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…
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
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…
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
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…
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
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…
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
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…
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
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…