journal of ict research and applications

Journal of ICT Research and Applications

About the Journal

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.

Abstracts and articles published on Journal of ICT Research and Applications are available online at ITB Journal and indexed by Scopus , Google Scholar , Directory of Open Access Journals , Electronic Library University of Regensburg , EBSCO Open Science Directory , International Association for Media and Communication Research (IAMCR) , MIAR: Information Matrix for the Analysis of Journals Universitat de Barcelona , Cabells Directories, Zurich Open Repository and Archive Journal Database , Open Academic Journals Index , Indonesian Publication Index and ISJD-Indonesian Institute of Sciences. The journal is under reviewed by Compendex, Engineering Village.

ISSN: 2337-5787 E-ISSN: 2338-5499

Reg. No. 691-SIC-UPPGT-SIT-1963, Accreditation No. 164/E/KPT/2021

Published by the Institute for Research and Community Services, Institut Teknologi Bandung.

Publication History

Formerly known as:

• ITB Journal of Information and Communication Technology (2007 - 2012)

Back issues can be read online at: http://journal.itb.ac.id

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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 E-mail: [email protected] ISSN: 2337-5787 E-ISSN: 2338-5499

Journal of ICT Research and Applications

Subject Area and Category

• Computer Science (miscellaneous)
• Information Systems and Management
• Electrical and Electronic Engineering

Institut Teknologi Bandung (ITB)

Publication type

Information.

How to publish in this journal

[email protected]

The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years. Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

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Journal of ICT Research and Applications

• Published by
• ITB Journal Publisher
• Year publication
• Article Publishing Frequency
• Abbreviation
• J. ICT Res. Appl.
• ISSN (print)
• ISSN (online)
• Journal Website
• http://journals.itb.ac.id/index.php/jictra/index
• Editor in Chief
• All articles
• Date added to OAJI
• 30 Jan 2017
• Free access
• Full text language
• Journal discipline
• Computer Science
• Journal description
• ournal 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. Abstracts and articles published on Journal of ICT Research and Applications are available online at ITB Journal and indexed by Scopus, Google Scholar, Directory of Open Access Journals, NewJour, Open J-Gate, Electronic Library University of Regensburg, EBSCO Open Science Directory, International Association for Media and Communication Research (IAMCR), Cabells Directories, Zurich Open Repository and Archive Journal Database, and ISJD-Indonesian Institute of Sciences.
• Journal is indexed by

Journal of ICT Research and Applications Latest Publications

Total documents, published by the institute for research and community services itb.

• Latest Documents
• Most Cited Documents
• Contributed Authors
• Related Sources
• Related Keywords

New Stereo Vision Algorithm Composition Using Weighted Adaptive Histogram Equalization and Gamma Correction

This work presents the composition of a new algorithm for a stereo vision system to acquire accurate depth measurement from stereo correspondence. Stereo correspondence produced by matching is commonly affected by image noise such as illumination variation, blurry boundaries, and radiometric differences. The proposed algorithm introduces a pre-processing step based on the combination of Contrast Limited Adaptive Histogram Equalization (CLAHE) and Adaptive Gamma Correction Weighted Distribution (AGCWD) with a guided filter (GF). The cost value of the pre-processing step is determined in the matching cost step using the census transform (CT), which is followed by aggregation using the fixed-window and GF technique. A winner-takes-all (WTA) approach is employed to select the minimum disparity map value and final refinement using left-right consistency checking (LR) along with a weighted median filter (WMF) to remove outliers. The algorithm improved the accuracy 31.65% for all pixel errors and 23.35% for pixel errors in nonoccluded regions compared to several established algorithms on a Middlebury dataset.

Machine-Learning Classifiers for Malware Detection Using Data Features

The spread of ransomware has risen exponentially over the past decade, causing huge financial damage to multiple organizations. Various anti-ransomware firms have suggested methods for preventing malware threats. The growing pace, scale and sophistication of malware provide the anti-malware industry with more challenges. Recent literature indicates that academics and anti-virus organizations have begun to use artificial learning as well as fundamental modeling techniques for the research and identification of malware. Orthodox signature-based anti-virus programs struggle to identify unfamiliar malware and track new forms of malware. In this study, a malware evaluation framework focused on machine learning was adopted that consists of several modules: dataset compiling in two separate classes (malicious and benign software), file disassembly, data processing, decision making, and updated malware identification. The data processing module uses grey images, functions for importing and Opcode n-gram to remove malware functionality. The decision making module detects malware and recognizes suspected malware. Different classifiers were considered in the research methodology for the detection and classification of malware. Its effectiveness was validated on the basis of the accuracy of the complete process.

The Use of QLRBP and MLLPQ as Feature Extractors Combined with SVM and kNN Classifiers for Gender Recognition

Security systems must be continuously developed in order to cope with new challenges. One example of such challenges is the proliferation of sexual harassment against women in public places, such as public toilets and public transportation. Although separately designated toilets or waiting and seating areas in public transports are provided, enforcing these restrictions need constant manual surveillance. In this paper we propose an automatic gender classification system based on an individual’s facial characteristics. We evaluate the performance of QLRBP and MLLPQ as feature extractors combined with SVM or kNN as classifiers. Our experiments show that MLLPQ gives superior performance compared to QLRBP for either classifier. Furthermore, MLLPQ is less computationally demanding compared to QLRBP. The best result we achieved in our experiments was the combination of MLLPQ and kNN classifier, yielding an accuracy rate of 92.11%.

Development of Focused Crawlers for Building Large Punjabi News Corpus

  Web crawlers are as old as the Internet and are most commonly used by search engines to visit websites and index them into repositories. They are not limited to search engines but are also widely utilized to build corpora in different domains and languages. This study developed a focused set of web crawlers for three Punjabi news websites. The web crawlers were developed to extract quality text articles and add them to a local repository to be used in further research. The crawlers were implemented using the Python programming language and were utilized to construct a corpus of more than 134,000 news articles in nine different news genres. The crawler code and extracted corpora were made publicly available to the scientific community for research purposes.

Efficient Task Scheduling and Fair Load Distribution Among Federated Clouds

The federated cloud is the future generation of cloud computing, allowing sharing of computing and storage resources, and servicing of user tasks among cloud providers through a centralized control mechanism. However, a great challenge lies in the efficient management of such federated clouds and fair distribution of the load among heterogeneous cloud providers. In our proposed approach, called QPFS_MASG, at the federated cloud level, the incoming tasks queue are partitioned in order to achieve a fair distribution of the load among all cloud providers of the federated cloud. Then, at the cloud level, task scheduling using the Modified Activity Selection by Greedy (MASG) technique assigns the tasks to different virtual machines (VMs), considering the task deadline as the key factor in achieving good quality of service (QoS). The proposed approach takes care of servicing tasks within their deadline, reducing service level agreement (SLA) violations, improving the response time of user tasks as well as achieving fair distribution of the load among all participating cloud providers. The QPFS_MASG was implemented using CloudSim and the evaluation result revealed a guaranteed degree of fairness in service distribution among the cloud providers with reduced response time and SLA violations compared to existing approaches. Also, the evaluation results showed that the proposed approach serviced the user tasks with minimum number of VMs.

Serious Game Development Model Based on the Game-Based Learning Foundation

Serious games or applied games are digital games applied in serious fields such as education, advertising, health, business, and the military. Currently, serious game development is mostly based on the Game Development Life Cycle (GDLC) approach. A serious game is a game product with unique characteristics that require a particular approach to its development. This paper proposes a serious game development model adapted from the Game-Based Learning Foundation. This paper’s main contribution is to enhance knowledge in the game development field and game-related application research. The proposed model was validated using the relativism approach and it was used to develop several game prototypes for universities, national companies, and the military.

Revealing the Characteristics of Balinese Dance Maestros by Analyzing Silhouette Sequence Patterns Using Bag of Visual Movement with HoG and SIFT Features

The aim of this research was to reveal and explore the characteristics of Balinese dance maestros by analyzing silhouette sequence patterns of Balinese dance movements. A method and complete scheme for the extraction and construction of silhouette features of Balinese dance movements are proposed to enable performing quantitative analysis of Balinese dance movement patterns. Two different feature extraction methods, namely the Histogram of Gradient (HoG) feature and the Scale Invariant Features Transform (SIFT) descriptor, were used to build the final feature, called the Bag of Visual Movement (BoVM) feature. This research also makes a technical contribution with the proposal of quantifying measures to analyze the movement patterns of Balinese dances and to create the profile and characteristics of dance maestros/creators. Eight Balinese dances from three different Balinese dance maestros were analyzed in this work. Based on the experimental results, the proposed method was able to visually detect and extract patterns from silhouette sequences of Balinese dance movements. Quantitatively, the pattern measures for profiling of Balinese dances and maestros revealed a number of significant characteristics of different dances and different maestros.

Extraction of the Major Features of Brain Signals using Intelligent Networks

The brain-computer interface is considered one of the main tools for implementing and designing smart medical software. The analysis of brain signal data, called EEG, is one of the main tasks of smart medical diagnostic systems. While EEG signals have many components, one of the most important brain activities pursued is the P300 component. Detection of this component can help detect abnormalities and visualize the movement of organs of the body. In this research, a new method for processing EEG signals is proposed with the aim of detecting the P300 component. Major features were extracted from the BCI Competition IV EEG data set in a number of steps, i.e. normalization with the purpose of noise reduction using a median filter, feature extraction using a recurrent neural network, and classification using Twin Support Vector Machine. Then, a series of evaluation criteria were used to validate the proposed approach and compare it with similar methods. The results showed that the proposed approach has high accuracy.

Cell Selection Mechanism Based on Q-learning Environment in Femtocell LTE-A Networks

Universal mobile networks require enhanced capability and appropriate quality of service (QoS) and experience (QoE). To achieve this, Long Term Evolution (LTE) system operators have intensively deployed femtocells (HeNBs) along with macrocells (eNBs) to offer user equipment (UE) with optimal capacity coverage and best quality of service. To achieve the requirement of QoS in the handover stage among macrocells and femtocells we need a seamless cell selection mechanism. Cell selection requirements are considered a difficult task in femtocell-based networks and effective cell selection procedures are essential to reduce the ping-pong phenomenon and to minimize needless handovers. In this study, we propose a seamless cell selection scheme for macrocell-femtocell LTE systems, based on the Q-learning environment. A novel cell selection mechanism is proposed for high-density femtocell network topologies to evaluate the target base station in the handover stage. We used the LTE-Sim simulator to implement and evaluate the cell selection procedures. The simulation results were encouraging: a decrease in the control signaling rate and packet loss ratio were observed and at the same time the system throughput was increased.

Unsupervised Detection of Anomalous Sound for Machine Condition Monitoring using Fully Connected U-Net

Anomaly detection in the sound from machines is an important task in machine monitoring. An autoencoder architecture based on the reconstruction error using a log-Mel spectrogram feature is a conventional approach for this domain. However, because of the non-stationary nature of some sounds from the target machine, such a conventional approach does not perform well in those circumstances. In this paper, we propose a novel approach regarding the choice of used features and a new auto-encoder architecture. We created the Mixed Feature, which is a mixture of different sound representations, and a new deep learning method called Fully-Connected U-Net, a form of autoencoder architecture. With experiments on the same dataset as the baseline system, using the same architecture for all types of machines, the experimental results showed that our methods outperformed the baseline system in terms of the AUC and pAUC evaluation metrics. The optimized model achieved 83.38% AUC and 64.51% pAUC on average overall machine types on the developed dataset and outperformed the published baseline by 13.43% AUC and 8.13% pAUC.

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URL http://journals.itb.ac.id/index.php/jictra/about/index

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Resource information

Title proper: Journal of ICT Research and Applications.

Abbreviated key-title: J. ICT Res. Appl. (Online)

Original alphabet of title: Basic roman

Subject: Dewey : 621

Subject: Mechanical engineering in general. Nuclear technology. Electrical engineering. Machinery

Publisher: Bandung: Lembaga Penelitian dan Pengabdian kepada Masyarakat Institut Teknologi Bandung

Dates of publication: 2013- 9999

Frequency: Three times a year

Type of resource: Periodical

Language: Indonesian

Country: Indonesia

Medium: Online

Indexed by: CROSSREF

Indexed by: ROAD

Indexed by: SCOPUS

Indexed by: TITLE DOI

Indexed by: FATCAT

Indexed by: ZDB

Indexed by: WIKIDATA

Indexed by: SUDOC

Indexed by: OPENALEX

Indexed by: DOAJ

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Record information

Type of record: Confirmed

Last modification date: 06/02/2021

ISSN Center responsible of the record: ISSN National Centre for Indonesia

Record creation date: 12/07/2013

Original ISSN Centre: ISSN National Centre for Indonesia

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Journal of ICT Research and Applications - Impact Score, Ranking, SJR, h-index, Citescore, Rating, Publisher, ISSN, and Other Important Details

Published By: Institut Teknologi Bandung (ITB)

Abbreviation: J. ICT Res. Appl.

Impact Score The impact Score or journal impact score (JIS) is equivalent to Impact Factor. The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly mean number of citations of articles published in the last two years in a given journal, as indexed by Clarivate's Web of Science. On the other hand, Impact Score is based on Scopus data.

Important details, about journal of ict research and applications.

Journal of ICT Research and Applications is a journal published by Institut Teknologi Bandung (ITB) . This journal covers the area[s] related to Information Systems and Management, Computer Science (miscellaneous), Electrical and Electronic Engineering, etc . The coverage history of this journal is as follows: 2013-2022. The rank of this journal is 18584 . This journal's impact score, h-index, and SJR are 1.09, 14, and 0.212, respectively. The ISSN of this journal is/are as follows: 23375787 . The best quartile of Journal of ICT Research and Applications is Q3 . This journal has received a total of 73 citations during the last three years (Preceding 2022).

Journal of ICT Research and Applications Impact Score 2022-2023

The impact score (IS), also denoted as the Journal impact score (JIS), of an academic journal is a measure of the yearly average number of citations to recent articles published in that journal. It is based on Scopus data.

Prediction of Journal of ICT Research and Applications Impact Score 2023

Impact Score 2022 of Journal of ICT Research and Applications is 1.09 . If a similar upward trend continues, IS may increase in 2023 as well.

Impact Score Graph

Check below the impact score trends of journal of ict research and applications. this is based on scopus data., journal of ict research and applications h-index.

The h-index of Journal of ICT Research and Applications is 14 . By definition of the h-index, this journal has at least 14 published articles with more than 14 citations.

What is h-index?

The h-index (also known as the Hirsch index or Hirsh index) is a scientometric parameter used to evaluate the scientific impact of the publications and journals. It is defined as the maximum value of h such that the given Journal has published at least h papers and each has at least h citations.

Journal of ICT Research and Applications ISSN

The International Standard Serial Number (ISSN) of Journal of ICT Research and Applications is/are as follows: 23375787 .

The ISSN is a unique 8-digit identifier for a specific publication like Magazine or Journal. The ISSN is used in the postal system and in the publishing world to identify the articles that are published in journals, magazines, newsletters, etc. This is the number assigned to your article by the publisher, and it is the one you will use to reference your article within the library catalogues.

ISSN code (also called as "ISSN structure" or "ISSN syntax") can be expressed as follows: NNNN-NNNC Here, N is in the set {0,1,2,3...,9}, a digit character, and C is in {0,1,2,3,...,9,X}

Journal of ICT Research and Applications Ranking and SCImago Journal Rank (SJR)

SCImago Journal Rank is an indicator, which measures the scientific influence of journals. It considers the number of citations received by a journal and the importance of the journals from where these citations come.

Journal of ICT Research and Applications Publisher

The publisher of Journal of ICT Research and Applications is Institut Teknologi Bandung (ITB) . The publishing house of this journal is located in the Indonesia . Its coverage history is as follows: 2013-2022 .

Call For Papers (CFPs)

Please check the official website of this journal to find out the complete details and Call For Papers (CFPs).

Abbreviation

The International Organization for Standardization 4 (ISO 4) abbreviation of Journal of ICT Research and Applications is J. ICT Res. Appl. . ISO 4 is an international standard which defines a uniform and consistent system for the abbreviation of serial publication titles, which are published regularly. The primary use of ISO 4 is to abbreviate or shorten the names of scientific journals using the technique of List of Title Word Abbreviations (LTWA).

As ISO 4 is an international standard, the abbreviation ('J. ICT Res. Appl.') can be used for citing, indexing, abstraction, and referencing purposes.

How to publish in Journal of ICT Research and Applications

If your area of research or discipline is related to Information Systems and Management, Computer Science (miscellaneous), Electrical and Electronic Engineering, etc. , please check the journal's official website to understand the complete publication process.

Acceptance Rate

• Interest/demand of researchers/scientists for publishing in a specific journal/conference.
• The complexity of the peer review process and timeline.
• Time taken from draft submission to final publication.
• Number of submissions received and acceptance slots
• And Many More.

The simplest way to find out the acceptance rate or rejection rate of a Journal/Conference is to check with the journal's/conference's editorial team through emails or through the official website.

Frequently Asked Questions (FAQ)

What is the impact score of journal of ict research and applications.

The latest impact score of Journal of ICT Research and Applications is 1.09. It is computed in the year 2023.

What is the h-index of Journal of ICT Research and Applications?

The latest h-index of Journal of ICT Research and Applications is 14. It is evaluated in the year 2023.

What is the SCImago Journal Rank (SJR) of Journal of ICT Research and Applications?

The latest SCImago Journal Rank (SJR) of Journal of ICT Research and Applications is 0.212. It is calculated in the year 2023.

What is the ranking of Journal of ICT Research and Applications?

The latest ranking of Journal of ICT Research and Applications is 18584. This ranking is among 27955 Journals, Conferences, and Book Series. It is computed in the year 2023.

Who is the publisher of Journal of ICT Research and Applications?

Journal of ICT Research and Applications is published by Institut Teknologi Bandung (ITB). The publication country of this journal is Indonesia.

What is the abbreviation of Journal of ICT Research and Applications?

This standard abbreviation of Journal of ICT Research and Applications is J. ICT Res. Appl..

Is "Journal of ICT Research and Applications" a Journal, Conference or Book Series?

Journal of ICT Research and Applications is a journal published by Institut Teknologi Bandung (ITB).

What is the scope of Journal of ICT Research and Applications?

• Information Systems and Management
• Computer Science (miscellaneous)
• Electrical and Electronic Engineering

For detailed scope of Journal of ICT Research and Applications, check the official website of this journal.

What is the ISSN of Journal of ICT Research and Applications?

The International Standard Serial Number (ISSN) of Journal of ICT Research and Applications is/are as follows: 23375787.

What is the best quartile for Journal of ICT Research and Applications?

The best quartile for Journal of ICT Research and Applications is Q3.

What is the coverage history of Journal of ICT Research and Applications?

The coverage history of Journal of ICT Research and Applications is as follows 2013-2022.

Credits and Sources

• Scimago Journal & Country Rank (SJR), https://www.scimagojr.com/
• Journal Impact Factor, https://clarivate.com/
• Issn.org, https://www.issn.org/
• Scopus, https://www.scopus.com/

Note: The impact score shown here is equivalent to the average number of times documents published in a journal/conference in the past two years have been cited in the current year (i.e., Cites / Doc. (2 years)). It is based on Scopus data and can be a little higher or different compared to the impact factor (IF) produced by Journal Citation Report. Please refer to the Web of Science data source to check the exact journal impact factor ™ (Thomson Reuters) metric.

Impact Score, SJR, h-Index, and Other Important metrics of These Journals, Conferences, and Book Series

Check complete list

Journal of ICT Research and Applications Impact Score (IS) Trend

Top journals/conferences in information systems and management, top journals/conferences in computer science (miscellaneous), top journals/conferences in electrical and electronic engineering.

Journal of ICT Research and Applications  

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Papers published on a yearly basis

Citation Count

77  citations

49  citations

41  citations

38  citations

35  citations

Performance

Editorial Team

Google scholar, contact name yuliah qotimah, contact email [email protected], phone +622286010080, journal mail official [email protected], 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.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2021.15.1.4

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2021.15.1.5

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2021.15.1.2

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2021.15.1.1

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2021.15.1.6

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2021.15.2.1

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2021.15.1.3

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2021.15.2.2

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2021.15.2.5

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2021.15.2.4

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