cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Yuliah Qotimah
Contact Email
yuliah@lppm.itb.ac.id
Phone
+622286010080
Journal Mail Official
jictra@lppm.itb.ac.id
Editorial Address
LPPM - ITB Center for Research and Community Services (CRCS) Building Floor 6th Jl. Ganesha No. 10 Bandung 40132, Indonesia Telp. +62-22-86010080 Fax. +62-22-86010051
Location
Kota bandung,
Jawa barat
INDONESIA
Journal of ICT Research and Applications
Published by Institut Teknologi Bandung
ISSN : 23375787     EISSN : 23385499     DOI : https://doi.org/10.5614/itbj.ict.res.appl.
Core Subject : Science,
Computer Science & IT
Journal of ICT Research and Applications 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 & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 7 Documents
 1 
Search results for , issue "Vol. 14 No. 1 (2020)" : 7 Documents clear
A Novel Watermarking Method using Hadamard Matrix Quantization Prajanto Wahyu Adi; Pramudi Arsiwi
Journal of ICT Research and Applications Vol. 14 No. 1 (2020)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2020.14.1.1

Abstract

One of the most used watermarking algorithms is Singular Value Decomposition (SVD), which has a balanced level of imperceptibility and robustness. However, SVD uses a singular matrix for embedding and two orthogonal matrices for reconstruction, which is inefficient. In this paper, a Hadamard matrix is used to get a singular matrix for the reconstruction process. Moreover, SVD works with a floating-point value, which takes long processing time, while the Hadamard matrix works with an integer range, which is more efficient. Visual measurement showed that SVD and the new method had average NC values of 0.8321 and 0.8293, whereas the average SSIM values resulted in the same value (0.9925). In terms of processing time, the proposed method ran faster than SVD with an embedding and extraction time of 0.6308 and 0.2163 seconds against 0.8419 and 0.2935 seconds. The proposed method successfully reduced the running time while maintaining imperceptibility and robustness.
User Efficiency Model in Usability Engineering for User Interface Design Refinement of Mobile Application Gladina Desideria; Yoanes Bandung
Journal of ICT Research and Applications Vol. 14 No. 1 (2020)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2020.14.1.2

Abstract

Designers are often confronted with challenges or difficulties when designing user interfaces for mobile applications. The information must be clearly delivered to the user and also have an aesthetic appearance and good discoverability. One widely used method for conveying information is directing user attention to a component that is related to his or her task. We propose a recommender system by considering user efficiency in a user attention model. It can give suggestions for designers to improve the appearance of the most efficient component. This recommender system is aimed to help designers in the iteration process of usability engineering, especially to direct user attention to the most efficient component. This system analyzes actual user attention and then refines the user interface based on the energy of each component compared with the baseline energy. Our proposed model successfully increased the efficiency of a mobile learning application from 83.65% to 85.58% and improved discoverability of the most efficient component, thus reducing the task completion time.
Design and Implementation of Poka-Yoke System in Stationary Spot-Welding Production Line Utilizing Internet-of-Things Platform Santo Wijaya; Slamet Hariyadi; Fransisca Debora; Galih Supriadi
Journal of ICT Research and Applications Vol. 14 No. 1 (2020)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2020.14.1.3

Abstract

This paper presents the design and implementation of a poka-yoke system in a stationary spot welding (SSW) production line. The human-based SSW production process in a local automotive component company was considered in this study. Due to the repetitive and fast cycle-time of the production process, human errors are inevitable. Such errors lead to customer claims with the subject company. Based on the data of customer claims, there were three major quality issues (missing nuts, wrong-size nuts, asymmetrical spot weld marks). Due to the production line being manual, control of planned production and actual production was poor, leading to delivery issues (delayed delivery). Together these major issues contributed to 34.7% of customer claims on average from May to December 2018. The objective of this study was to solve the issues in the subject company through design and implementing a poka-yoke system utilizing the internet-of-things (IoT) platform to ensure data acquisition and information storage, and production progress monitoring and data analysis to meet user requirements. The combined approach of the poka-yoke system utilizing IoT in the SSW production line yielded satisfactory results with reduced customer claims to 5.3% for the stated problems from February to May 2019. Hence, the design objective was achieved.
Efficient Utilization of Dependency Pattern and Sequential Covering for Aspect Extraction Rule Learning Fariska Zakhralativa Ruskanda; Dwi Hendratmo Widyantoro; Ayu Purwarianti
Journal of ICT Research and Applications Vol. 14 No. 1 (2020)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2020.14.1.4

Abstract

The use of dependency rules for aspect extraction tasks in aspect-based sentiment analysis is a promising approach. One problem with this approach is incomplete rules. This paper presents an aspect extraction rule learning method that combines dependency rules with the Sequential Covering algorithm. Sequential Covering is known for its characteristics in constructing rules that increase positive examples covered and decrease negative ones. This property is vital to make sure that the rule set used has high performance, but not inevitably high coverage, which is a characteristic of the aspect extraction task. To test the new method, four datasets were used from four product domains and three baselines: Double Propagation, Aspectator, and a previous work by the authors. The results show that the proposed approach performed better than the three baseline methods for the F-measure metric, with the highest F-measure value at 0.633.
Modulation Scheme Identification Based on Artificial Neural Network Algorithms for Optical Communication System Mustafa A. Jalil; Jenan Ayad; Hanan J. Abdulkareem
Journal of ICT Research and Applications Vol. 14 No. 1 (2020)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2020.14.1.5

Abstract

Higher-order modulation schemes in optical communication systems that suffer from several impairments can use artificial intelligence (AI) algorithms, among other possible techniques, to mitigate these issues. In this paper, several techniques for optical communication systems have been proposed to enhance the performance of dual-polarization (DP) M-ary Quadrature Amplitude Modulation (M-QAM) as DP-16-QAM, DP-64-QAM, DP-128-QAM, and DP-256-QAM with 240Gbps data rate. Artificial neural networks (ANNs) with seven different training algorithms have been applied to optimize the optical communication system. A high optimization of modulation format identification (MFI) with accuracy up to 100% was obtained at about 13 dB OSNR and at 22 dB OSNR for the DP-265-QAM format.
Development of Simulated Remote Monitoring and Operation System under Unstable Electric Power Supply Satoru Goto; Yoshitaka Matsuda; Takenao Sugi
Journal of ICT Research and Applications Vol. 14 No. 1 (2020)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2020.14.1.6

Abstract

In this study, a simulated remote monitoring and operation system was developed for an assumed remote area energy plant in a developing country with few skilled operators and unstable electric power supply. It is useful for skilled operators to be able to monitor and operate the energy system from a remote site. Moreover, low-power equipment is required for the Web server in order to reduce the electric power consumption of the remote monitoring system. The system has the function of remote monitoring of data obtained from sensors through a programmable logic controller (PLC), while the monitoring function is realized by a Web application. The PLC can be operated from a remote monitoring site. The simulated remote monitoring and operation system was constructed using an Internet connection and a virtual private network (VPN) connection. The Internet connection was used for open monitoring of acquired data by the public. The VPN was used for secure remote operation of the device on the plant side from a monitoring PC. The effectiveness of the developed system was confirmed though experiments with a simple simulated plant.
Cover JICTRA Vol. 14 No. 1, 2020 Journal of ICT Research and Applications
Journal of ICT Research and Applications Vol. 14 No. 1 (2020)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Page 1 of 1 | Total Record : 7

 1 

Filter by Year

2020 2020


Reset
Filter By Issues
All Issue Vol. 19 No. 2 (2025) Vol. 19 No. 1 (2025) Vol. 18 No. 2 (2024): (In Progress) Vol. 18 No. 1 (2024) Vol. 17 No. 3 (2023) Vol. 17 No. 2 (2023) Vol. 17 No. 1 (2023) Vol. 16 No. 3 (2022) Vol. 16 No. 2 (2022) Vol. 16 No. 1 (2022) Vol. 15 No. 3 (2021) Vol. 15 No. 2 (2021) Vol. 15 No. 1 (2021) Vol. 14 No. 3 (2021) Vol. 14 No. 2 (2020) Vol. 14 No. 1 (2020) Vol. 13 No. 3 (2019) Vol. 13 No. 2 (2019) Vol. 13 No. 1 (2019) Vol. 12 No. 3 (2018) Vol. 12 No. 2 (2018) Vol. 12 No. 1 (2018) Vol. 11 No. 3 (2017) Vol. 11 No. 2 (2017) Vol. 11 No. 1 (2017) Vol. 10 No. 3 (2016) Vol. 10 No. 2 (2016) Vol. 10 No. 1 (2016) Vol. 9 No. 3 (2015) Vol. 9 No. 2 (2015) Vol. 9 No. 1 (2015) Vol. 8 No. 3 (2015) Vol. 8 No. 2 (2014) Vol. 8 No. 1 (2014) Vol. 7 No. 3 (2013) Vol. 7 No. 2 (2013) Vol. 7 No. 1 (2013) Vol. 6 No. 3 (2012) Vol. 6 No. 2 (2012) Vol. 6 No. 1 (2012) Vol. 5 No. 3 (2011) Vol. 5 No. 2 (2011) Vol. 5 No. 1 (2011) Vol. 4 No. 2 (2010) Vol. 4 No. 1 (2010) Vol. 3 No. 2 (2009) Vol. 3 No. 1 (2009) Vol. 2 No. 2 (2008) Vol. 2 No. 1 (2008) Vol. 1 No. 2 (2007) Vol. 1 No. 1 (2007) More Issue