bluuebunny/crossref_metadata_2025 huggingface dataset:
Current Communication Technologies in the Promotion of Scientific Knowledge
Authors: Vladimirovich Klyuev Yuriy , Evgenievna Vinogradova Ksenia , Valerievna Zubko Daria , Yakovlevich Misonzhnikov Boris , Sergeevna Melnik Galina
Published: July 2024

Exchange of scientific information is a basic component within the process of promoting humanitarian, life-science and technical knowledge. Distortions and disruptions in providing tactical and strategic mass- and corporative communication have a negative impact on transferring and receiving specialized information, both within the corresponding information system, and beyond its limits. Development of a structure of specialized communications of the scientific communities depends on a significant factor: the dialogue is conducted between the subjects of a certain field of scientific knowledge or within a certain research institution. To a certain extent, subjects of scientific communication play their part in providing scientific communication flows, which facilitates the development of scientific ideas about the reality within a scientific corporation, as well as outside it. Communications among the members of the scientific communities can be organized at the global, international or national level, or locally, within a certain research organization. Present article focused on the current communication technologies that were used for promoting scientific knowledge. It addressed the principles, characteristics and functions of communicative activity in the field of science and higher education, which defined the state and development perspective of the social progress.Â
Automated slicing scheme for test case prioritization in regression testing
Authors: Kaushal Manju , Abimannan Satheesh
Published: July 2024

Motivation: The testing approach which ensures that the software does not have any adverse affects due to the changes made in the existing features or addition of some new features is called regression testing. For testing the changes made in the previous versions of software, this type of testing is performed. To ensure that the numbers of test cases available in the software is not too large, it is important to select the regression tests and to do so, several techniques have been designed. To detect the individual functions from the software, the existing work applied the slicing technique. The parameters which are used in this approach are calculated manually to analyze importance of individual functions. The number of times the function is encountered and the number of functions relevant to the specific function are the two different parameters calculated here. A list of changes in the source code and the execution traces generated from the test cases which are run on previous versions are used to combine the modification, minimization and prioritization-based selection which thus generates a hybrid technique.Problem Statement: In the existing system, the manual slicing technique is applied to perform test case prioritization. In manual slicing, the total number of times a function is triggered and the total numbers of functions attached are calculated manually to generate final function importance. This approach is very time consuming and inaccurate.Method: In this paper, we studied that to prioritize the test cases based on the changes, a type of regression testing is used which is test case prioritization. The test cases of the functions which have higher priority are executed first and so on. Based on the changes made, the test cases are prioritized. For identifying maximum number of faults from the modified software, manual slicing and automated slicing are applied in this work. The proposed method will be the enhancement of manual slicing technique. The automated slicing technique will automatically calculate the functional importance based on number of attached functions and number of times function triggered. The proposed method has low execution time and detects more number of defects from the software. The dataset of ten different projects is used to test the performances of proposed and existing algorithms in MATLAB. Each project has seven functions and four numbers of changes are defined for the regression testing.Results: The simulation results achieved at the end show that in comparison to manual methods, the implementation of automated test case prioritization has provided improvement in the fault detection rate and reduction in the execution time.Â Â Â
The problem of image segmentation and de-noising methods and various approaches to its solution
Authors: H.Shakah Ghazi
Published: July 2024

Image segmentation and de-noising are required to be used in digital image processing according to the recent since researches in this field, At present image de-noising and segmentation take part in real-world applications such as medical fields, computer vision, computer graphic, satellite, magnetic resonance imaging, computed tomography, single photon emission and computed tomography etc. These two methods are used for different images but mainly focus on medical images. In this paper provides an overview of the main classes of methods for segmentation of images, analysis of the effectiveness of their application and development prospects for the implementation of methods adaptive segmentation for the conditions of significant variations in the parameters of images. After that we present the comparison between segmentation techniques based on some specific parameters and find out suitable one.Â Â
A survey on power and load-aware multipath node-disjoint routing protocol for MANET
Authors: Kumar. S Sathishkumar , G Ravi
Published: July 2024

In Mobile Ad-hoc Network (MANET), the most challenging task is communication through multipath routing. Generally, each node in the network may have limited power resources to communicate with the other nodes without any backbone structures. So, an unbalanced traffic allocation among nodes may cause power dissipation in overloaded nodes. Due to this, path failure has occurred that degrades the network lifetime and its performance. As a result, power and load-aware multipath routing protocols have been proposed to reduce the energy consumption and link failure in the network. Hence, a multipath routing scheme is the most crucial in MANET to transmit the data packets efficiently. This paper presents a detailed review of power and load-aware based multipath routing for MANET. Primarily, different power and load-aware multipath routing protocols designed by previous researchers for MANET are briefly studied. Then, a comparative analysis is conducted to understand the drawbacks in those protocols and suggest the new solution to improve the multipath routing in MANET with high network performance.Â Â Â
Quality Evaluation of Treated Ballast Seawater for Potential Reuse
Authors: Muhamad Siti Nur , Amir Mohamad Abu Ubaidah , Razali Mohd Norsyarizad , Sridewi Nanthini , Aziz Adenen , Isnan Sarah , Rahman Ainul , Rosly Afiqah
Published: July 2024

The International Convention for the Control and Management of Shipsâ€™ Ballast Water and Sediments (BWM Convention) has already commencing on 8 September 2017 after ratified by 51 States represent 35% of the global gross tonnage in September 2016. However, there is no value recovered for the treated ballast water as it simply discharged during de-ballasting. In order to evaluate value creation of treated ballast water, three seawater applications which are seawater toilet flushing, cooling tower and desalination was studied and compared with treated ballast seawater. An exploratory study was conducted in Singapore as a case study as this country is facing water scarcity issues and a busy port in the world which received more than 28 billion m3 of ballast water in 2015. Surprisingly the treatment technology between seawater toilet flushing and ballast water management has similarity. As both applications used screening and disinfection process and quality standard and analysis between treated ballast water with seawater applications found that seawater toilet flushing have the same quality parameter with treated ballast water. Thus, the treated ballast water can replace the raw seawater for seawater desalination. As such, with reduction of cost for screen unit, desalination water can exceed water production by NEWater in Singapore as the cost can recover the energy needed for desalination. It can conclude that treated ballast water has high recovery value and can be reused in seawater application.
Forecasting Military Vehicle Spare Parts Requirement using Neural Networks followed by Application of Tacit Knowledge
Authors: Nair Mahendra K Sekaran , Mohamad Hassan , Jamil Hamzan Abdul , Radzi Zulkifly Mat
Published: July 2024

Spare parts forecasting can generally be divided into two approaches that are deterministic and stochastic. Deterministic forecasting is often predictable and often comes from production while stochastic forecasting is often adapted in areas of uncertainties. Even though there are many forecasting techniques available nowadays, the accuracy is often questionable as there may be possibilities of errors especially when it involves inconsistent lumpy demands. The aim of this paper is to look into existing theories with the intent proposal of an alternative method in adapting neural networking where demand patterns from the various external sources would be captured and use to provide an improved prediction method. Therefore, adapting this alternative method would increase the accuracy and confidence level compared to the existing forecasting techniques. This research would also include obtaining tacit knowledge in the purchasing process that is often considered after obtaining the forecasted results prior to the purchase of spares.
Technology foresight in Modular Construction Shipbuilding Industries: The Case of Malaysiaâ€™s Shipyard
Authors: Mokhtar Ahmad Alliff Anuar , Amir Mohamad Abu Ubaidah , Hafizah Ainnur , Halim Abdul
Published: July 2024

Â The shipbuilding and ship repair industry in Malaysia involves designing, building and constructing, repairing and maintaining, converting and upgrading of vessels as well as marine equipment. It is getting larger and always evolve in line with the development of technology such as with the latest technology which is embedded in modular construction. Nowadays, the modular construction approach in shipbuilding is already known worldwide. However, adoption of this method in Malaysia is still minimal in term of scale and it is not comprehensive. The latest, Boustead Naval Shipyard (BNS) was entrusted to build 6 Littoral Combat Ship (LCS) for Royal Malaysian Navy (RMN) in BNS in Lumut, Malaysia. One of the advantages for this contract is the technology transfer which also includes the modular construction. The study is conducted using the qualitative and quantitative method. Qualitative data collection method that used in this study includes individual interviews, and observations to examine the perspective from the higher management level on how to assess modular construction shipbuilding and hence to examine the factors through implementation and the effectiveness towards Malaysiaâ€™s shipyard of modular construction shipbuilding. For quantitative data collection method include various forms of surveys â€“ online and form survey. Respondents are only from the higher management level. This data will be transformed into usable statistics using statistical software, Statistical Package for the Social Sciences (SPSS). Thus, this study is to analyse the technology and the viability in which to investigate of the existing business sustainability construction shipbuilding in Malaysiaâ€™s Shipyard. The result can be used for the better understanding the modular construction and its impact on the production process in Malaysia, and also improve the technology and method of modular construction shipbuilding in Malaysian shipyard.
The Potential Factors Influencing Information Security Awareness on Phishing Attacks From Various Industries: A Systematic Literature Review (SLR)
Authors: Asfoor Ayman Hasan , Rahim Fiza Abdul
Published: July 2024

Phishing attack is one of the techniques used by attacker to get private information from Internet banking customers. This study will systematically analyse published research exploring factors that influencing information security awareness on phishing attacks. A total of 150 articles were used in our review a quality criterion was applied on this set of articles, a total of 20 articles were determined for further analysis, and successfully identified eleven factors as being either directly or indirectly related to awareness on phishing attacks. The factors are security concerns, user competence, computer literacy, self-efficacy, neuroticism, openness, response efficacy and years of PC usage. Moreover, studies have also identified the important role played by motivation. In this way, one could group factors relating to awareness on phishing attacks in three major groups including personality traits, motivation and individual differences. This review may be significant in providing useful information on how to understand usersâ€™ susceptibility and vulnerability to phishing scams online.
Kansei Engineering Approach for Measuring Political Propaganda: A Case of Malaysia
Authors: Saad NurJannatul Jannah Aqilah Md , Afiza Mat Razali Noor , Wook Muslihah , Ishak Khairul Khalil , Hamid Hasmeda Erna Che , Hasbullah Nor Asiakin , Wahab Norshahriah , Zainudin Norulzahrah Mohd , Ramli Suzaimah , Amran Mohd Fahmi Mohamad
Published: July 2024

Propaganda is mainly designed to influence peopleâ€™s mental state on new ideas which is crucially used for political agenda. Back in 1950s, people used mass media to propagate propaganda. Nowadays, the usage of social media as a tool for political propaganda agenda either by the politician or the supporters are creating a game diverge in electoral campaign. This phenomenon is occurring in all over the world including Malaysia. Studies has proven that people who rich in Kansei is rich in emotions and sentiment, adaptive, warm and responsive. Unfortunately, little effort has been paid to use the approach for measuring Malaysiansâ€™ emotions on political propaganda in various social media platforms. This study is proposing that Kansei Engineering (KE) could be used as an approach for analysing their emotion and sentiment. For this reason, KE incorporating with partial least squares (PLS) is used to measure and analyse the level of Malaysiansâ€™ emotions regarding political propaganda via social media by constructing emotional descriptor or KW by adapting PANAS-X. The proposed technique could be used as a basis to build a framework to hinder the diffusion of negative political propaganda in the social media settings particularly in Malaysia.
Predicting User Navigation in an Online Newspaper Site Using Association Rules Mining and Markov Model
Authors: Husin Husna Sarirah
Published: July 2024

This paper discusses an approach to predict Web pages from an online newspaper using association rules mining and Markov model decision process. We use a set of Web server logs from an online newspaper, process the logs using Web usage mining methodology, generate transaction files for association mining and predict the web pages using Markov decision model process. We found that users are reading articles from the same section and since majority of users only read one page in a session, it is hard to find associated news articles in a same session. However, the association between section pages are legit and can be used to model the Markov chain for the navigation.
The Processing of Nitrocellulose from Rhizophora, Palm Oil Bunches (EFB) and kenaf fibres as a Propellant Grade
Authors: Yolhamid Mohd Najib Abdul Ghani , Ibrahim Farizha , Amir Mohamad Abu Ubaidah , Ibrahim Rushdan , Adnan Sharmiza , Yahya Muhd Zu Azhan
Published: July 2024

Nitrocellulose based powders are extensively in military application used as propellant in bullets, shells, and various missiles for tube munitions. In this study, Rhizophora, Palm Oil Bunches- Empty Fruit Bunches (EFB) and kenaf fibres were used as raw materials to produce nitrocellulose suitable for replace gunpowder. All raw materials are converted to dissolving pulps before nitrocellulose are synthesized. The characteristics of both dissolving pulps and nitrocellulose are determined. The result shows that the nitrocellulose fromÂ  Rhizophora, Palm Oil Bunches- Empty Fruit Bunches (EFB) and kenafÂ  have a tendency as propellant.
In-Situ Current Speed Measurement and Sediment Characteristics at UPNM Lake
Authors: Rahman Ainul , Muda Wan Baderul Hisan Wan , Rosly Afiqah , Azzeri Mohd , Isnan Sarah , Aziz Adenen , Muhamad Siti Nur , Ahmad Mohd Arif , Amir Mohamad Abu Ubaidah
Published: July 2024

This paper focuses on a hydrographic survey conducted at Universiti Pertahanan Nasional Malaysia (UPNM) Lake. The aim is to measure the current speed and sediment characteristics due to the limitation of information and references regarding on UPNM Lake. The hydrographic survey conducted is essential as it is the first survey carried out and indirectly outlines and provides details of the lake for future applications. All the information from the survey is prominent seeing that UPNM Lake is constantly used for either research activities, fishing activities, recreational activities by students and as a training ground for military cadets.Â  The outcome gathered from this research is an analysis of data for in-situ current speed and direction at 26 designated locations (23 locations for bottom current) in the lake area and also sediment characteristics. Current speed distribution at UPNM Lake shows 80% current speed recorded in between 0.02 m/s to 0.5 m/s with the highest current speed was recorded at the magnitude of 0.68 m/s and the lowest current speed is at magnitude 0.02 m/s. For sediment characteristics, all sampling stations show mud sediment with few stations show different types of mud. The study of this water body either in physical or chemical aspect is performed to derive a better understanding of the composition of the lake for safety functionality.
Iris Pigment Spots Detection implementing Thresholding Method
Authors: Man Mustafa , Jabal Mohamad Faizal Ab , Rahim Mohd Shafry Mohd , Hamid Suhardi , Yussof , Wan Nural Jawahir Wan
Published: July 2024

The increment size of the pigment spots on iris surface is indicated to the eye disease. Therefore, an automatic pigment spot detection has been proposed to detect the pigment spots on the iris surface. The main challenge is the type of feature that needs to be used for detection is unidentified. Based on the standard features applied for detection purposes, most of the features, such as shape, edges and vector, are not reliable. This situation occurs because the physical form of the pigment spots on the iris surface are dynamic. Hence, the pigment spots colour is the best feature possible to be applied, because it is moderately consistent. However, the spot colour intensity value are numerous. Several colour intensity values that have been used by other researchers were unable to detect the pigment spots. Henceforth, new colour intensity values based on thresholding method have been proposed in this paper. The approach has been applied through on the HSV colour model. The result shows the proposed values more accurate to detect the spots on the iris surface. The results have been recorded as follows (FAR) 0%, 1.33% and 4%, (FRR) 80%, 73.33%, and 70.67%, (DR) 20%, 25.33% and 25.33%.
The Effect of Internet of Things (IoT) Towards Social Sciences Studentâ€™s Performance
Authors: Mohd Farahwahida , Shamsuddin Norsila , Ab. Ghani Puzziawati
Published: July 2024

This study is to evaluate the effect of IoT towards social sciences studentâ€™s class performance. This is to measure whether IoT contribute to their performance or not. It is found that e-learning modules are most preferred by the students as compared to blended learning and conventional face-to-face learning environment. E learning was ranked as number 1 most prefer method followed by blended learning and the least preferred is the conventional method that is face-to-face classroom environment. Furthermore, competency in using IT devices such as smart phones, tablet, wi-fi dongle and etc is an advantage in this new era of technology and very significant towards the studentsâ€™ performance (p-value = 0.000). Followed by awareness of the usage of IoT (p-value = 0.011), importance of the devices in contributing good performance (p-value = 0.015) and finally yet importantly usefulness of IoT have significant effect towards performance. All variables are significant at 5% level of significant. Therefore, we can conclude that IoT does give significant effect towards these Social Sciences Studentsâ€™ performance in all of their activities in the university.Â Â
Learning Automata-Based Algorithm as a Solution to the Problem of Priority-Based Target Coverage in Directional Sensor Networks with Adjustable Sensing Ranges
Authors: Norsyarizad Razali Mohd , Salleh Shaharuddin , Azzeri Md Naiem Mohd
Published: July 2024

The limited battery power and sensing angle of directional sensors makes maximizing the network lifetime of directional sensor networks (DSNs) a challenging problem, especially when surveillance of a set of targets in a given area is involved. Sensors with multiple ranges and targets that require varied coverage further exacerbate this problem. This study refers to this problem as PTCASRâ€”Priority-based Target Coverage with Adjustable Sensing Ranges. A promising solution to this problem is to use a scheduling technique, which involves allocation of sensors into cover sets and their successive activation thereafter. A scheduling algorithm based on learning automata is proposed in this study as a solution to this problem. To assess the performance of the proposed algorithm in extending network lifetime, several simulations were conducted.Â  Â
Two Cell Fault Models and Parasitic RC Test Method for Embedded SRAM
Authors: Parvathi M.
Published: July 2024

The existing research on two cell memory faults was not adequate to identify the current technology prone defects. The gaps in the invention of test methods and fault models in related to two-cell SRAM is lead to the development of new test techniques, that are presented in this paper. The cell size reduction in present day technologies will give effect on bit line and coupling capacitance, due to capacitive nature through coupling, each cell will get influence of its neighbouring cells, prone to the faulty behaviour. In addition, parasitic node capacitance and faulty node voltage of a defective node can induce serious parasitic effects on the electrical behaviour of SRAMs. This paper is focused on analysis of characterization of two-cell fault models using bridge or short as defect model in the electrical environment and further evaluates the necessary conditions to induce worst-case coupling effects. The proposed method guarantees detecting all two-cell faults in the presence of capacitive coupling and worst-case neighbourhood data for any possible open or short defect.Â
Privacy and Security of Cloud Computing: A Comprehensive Review of Techniques and Challenges
Authors: Adnan Darwish Marwan , Yafi Eiad , H. Almasri Abdullah , F Zuhairi Megat
Published: July 2024

Cloud computing usage is rapidly increasing in a various range of services and it is seen on trend to revolutionize the way the IT companies doing businesses. The recent advances in mobile, social media companies and online businesses have given rise to success and propagation for the environment of the cloud. However, When uploading the users' data from the local device to the nature of the cloud that considered as a third party , major challenges cloud-computing model jeopardizes privacy and security issues and threats on data security and reliability. These threats constitute data breaches, loss of control, unauthorized uses at the different layers of the cloud models and these issues hinder the adoption of cloud and slow down acceptance in many sectors in IT. In this review, we present and summarize major articles in cloud computing and its multiple layers with a focus on security and privacy challenges (such as integrity, confidentiality and data privacy). We also intend to review the latest approaches regarding identity management inside the cloud, cryptography and steganography techniques that have been used inside the cloud platforms.Â
An Efficient Iris Image Thresholding based on Binarization Threshold in Black Hole Search Method
Authors: Danlami Muktar , Najwa Ramli Sofia , Izzah Syahira Jemain Nur , Pindar Zahraddeen , Jamel Sapiee , Mat Deris Mustafa
Published: July 2024

In iris recognition system, the segmentation stage is one of the most important stages where the iris is located and then further segmented into outer and lower boundary of iris region. Several algorithms have been proposed in order to segment the outer and lower boundary of the iris region. The aim of this research is to identify the suitable threshold value in order to locate the outer and lower boundaries using Black Hole Search Method. We chose these methods because of the ineffient features of the other methods in image indetification and verifications. The experiment was conducted using three data set; UBIRIS, CASIA and MMU because of their superiority over others. Given that different iris databases have different file formats and quality, the images used for this work are jpeg and bmp. Based on the experimentation, most suitable threshold values for identification of iris aboundaries for different iris databases have been identified. It is therefore compared with the other methods used by other researchers and found out that the values of 0.3, 0.4 and 0.1 for database UBIRIS, CASIA and MMU respectively are more accurate and comprehensive. The study concludes that threshold values vary depending on the database.Â
Comparing Web Vulnerability Scanners with a New Method for SQL Injection Vulnerabilities Detection and Removal EPSQLiFix
Authors: Umar Kabir , Bakar Sultan Abu , Zulzalil Hazura , Admodisastro Novia , Taufik Abdullah Mohd
Published: July 2024

Web vulnerabilities have become a major threat to the security of information and services accessible via the internet. Dynamic analysis based Web Vulnerability Scanners (WVS) have been employed to facilitate detection of vulnerabilities, though, such scanners could not remove the detected vulnerabilities. Empirical evidences show that some existing static analysis techniques targeted both detection and removal of vulnerabilities. However, these techniques are not adequately effective â€“ they report considerably large number of false positives and do not achieve fully automatic vulnerabilities removal.Â  Although, clear understanding of the workflow of WVSs is very essential in designing more improved scanners, current literature does not provide a comprehensive presentation on workflow of WVSs. Thus, this paper presents thorough description of generic WVS through synthesis and aggregation of knowledge. In addition, the paper presents overview of an Evolutionary Programming (EP) based static analysis method for automatic detection and removal of vulnerabilities called EPSQLiFix. Lastly, the paper compares the workflow of WVSs to that of EPSQLiFix method.Â
Enterprise Integration of Employee Onboarding Process Using Zachman Framework
Authors: Faezah Abbas Wan , Hajar Ismail Siti , Haron Haryani , Nor Amalina Wan Hariri Wan
Published: July 2024

Onboarding is the process of getting newly hired employee to adjust to the social and performance aspects of their new jobs quickly and smoothly. It is important to the organization to maximize the employee retention and productivity and increase their satisfaction and loyalty where it could reduce cost of hiring employee by reducing the turnover rate. Studies have shown there is a requirement to integrate the business process between the enterprise entities to make the onboarding processes run smoothly and effectively. Therefore, the main objective of this study is to analyze the business processes to be integrated in the enterprise organization. Using qualitative methods, interview and document review, analysis was conducted to understand the current onboarding practices and processes in a case study. As a result, this research proposes a business process driven modelling for analysing enterprise integration requirements by using Zachman framework.Â
Applying ITIL Framework to Analyze Problem Management Key Performance Indicator (KPI): a Case Study of Malay Owner Company (Mesiniaga Berhad)
Authors: Mokhsin Mudiana , Shakir Zainol Amer , Nordianah Haihom Siti , Husni Mohd Som Mohd , Jalil Abdul Rahim Abdul
Published: July 2024

Problem Management (PM) is one of the components in the Information Technology Infrastructure Library (ITIL) Service Support area. The primary focus of Problem Management is to identify causes of service issues and commission corrective work to prevent recurrences. To address this practice and make it more effective, the project tends to identify the specific Key Performance Indicator (KPI) forÂ Â Â Â  Problem Management process in a Malay owner company named as Mesiniaga Berhad. The identification of Problem Management KPI is based on the previous research which is using ITIL as a framework. The interview session has been conducted in Mesiniaga with Problem Manager working at that company with more than 10 yearsâ€™ experience in Problem Management process. The method ofÂ Â Â Â  interview is using qualitative approach which is using the design question with the lists of KPI. The expert will select or decide which KPI are related with the current report in Mesiniaga. The result showed that 6 KPIs are related and come out with analysis on how the outcome of KPI behavior matched with the Incident report in Mesiniaga. To enhance on how the identification of KPI, instead of using manual to capture the Problem Management KPI, the automation of selected KPI from Incident to Problem Management can beÂ Â Â Â Â Â Â  implement in the systems. Most technologies are intelligent enough for data analytic to decide which suitable KPI of ProblemÂ Â Â Â Â Â Â Â Â Â  Management follow the current business and client environment.Â Â
The Enterprise Resource Planning System and Human Influences on Perceived Business Benefits
Authors: Lim Jiansi , Mohamed Norshidah , Shahriza Abdul Karim Nor
Published: July 2024

Strategic information systems are designed to support business processes for firms to achieve competitive advantage in the market place. Enterprise Resource Planning (ERP) system is one such example of a strategic information system. While there have been many researches on ERP systems, evidence about ERP systems business benefits from userâ€™s perspective still remains to be known. The research, therefore, aims at exploring and determining the influences of ERP systems on business benefits. The influences encompass the user satisfaction with the ERP system itself (system factor) and the human factor of service provider as perceived by users. The human factor is made up of the perceived service quality of provider as consultant and the relationship quality between the user and the provider. Data was collected using a survey research instrument from three different organizations in Malaysia. A total of 120 users provided responses to the survey. The research provides support for the ERP system and human influences on userâ€™s perceived business benefits. Implications of the research are discussed herein.Â Â Â
Improving the Governance of Software Maintenance Process for Agile Software Development Team
Authors: Abdullah Salfarina , Subramaniam Mangaiarasi , Anuar Sazly
Published: July 2024

Software maintenance is one of the most debated phases in software development process for so many years. Having reputed as the most expensive phase of software development life cycle (SDLC), it utilizes the maximum share of the overall project costs as well as time. Agile software development provides opportunities to assess the direction of a project throughout the development lifecycle. However, it does not ideally map with the existing software maintenance process. One of the highlighted issues is the difficulty for searching of information as well as lack of knowledge to solve the maintenance problems within certain time frame. Thus, the main objective of this study is to improve the governance of software maintenance process in an Agile development team. In doing so, a tool named Axita is developed to assist the software maintenance team for storing of information in central data repository and managing projects in more efficient and timely manner. Based on the literature review as well as mapping between the agile software development and the existing ISO software maintenance process, we also proposed six best practices to better govern the software maintenance process in an Agile development team, to overcome the difficulty of information finding and reduce the time spent to solve the maintenance issues. We believe that our study and findings complement the efforts that have been put forth in improving the way we manage software maintenance thus enhance the efficiency of the software development process.Â Â
Real Time Productivity Monitoring System for Small and Medium Size Manufacturing Industry
Authors: Phaik-Ean Wong , Lee Abdullah Nasuha , Idrus Rosnah , Keikhosrokiani Pantea
Published: July 2024

This paper attempts to propose a real-time knowledge management system to monitor productivity for production lines of small and Â medium size enterprises (SME). The proposed system hopes to empower managers in meeting the target of daily production output. The uniqueness is it provides real time productivity level to enhance visibility and control in the production lines. The system automates the process of data collection by using bar code scanners at the input and output stations. Productivity is calculated based on cycle time of each product and display in real time. Colour coded display indicating productivity level enables the line foreman to take immediate Â action. Apart from that, it can also send alert in the form of Whatsapps messages to relevant personnel in case of loss time issues. The system consists of two main modules, which are, data collection module and reporting module. It is developed as a web-based knowledge management system to ease setup, access, and maintenance to facilitate future upgrade into mobile application. The system can be implemented in any production line to monitor the line performance and helps to reduce loss time by providing an instantaneous response to solve issues.Â Â
The Role of Employee in Information Security Risk Management
Authors: Lau Keat Jin David , Hafizah Hassan Noor , Maarop Nurazean , Narayana Samy Ganthan , Che Mohd Yusof Rasimah
Published: July 2024

Information security risk management (ISRM) is become essential for establishing safe and reliable environment for online and e-transactional activities. With the coming Industrial Revolution 4.0, there is a huge interest of the organization for involving user in their risk management activity to minimize any security incidents. Limited research has been conducted in investigating involvement of user in ISRM. Therefore, this paper examines the involvement of user in ISRM in financial organization. Besides, this paper discusses the existing theories of risk management use in assessing ISRM. This paper investigates user participation in ISRM implemented in the organization using mixed-method approach. This study use questionnaire survey and follow-up with interview in one financial organization. Besides, Strength, Weakness, Opportunities and Threat (SWOT) analysis is presented based on the result found for the organisation to focus on their improvements needed. This study shows that a well-known procedure and standards must be implemented in the organisation to ensure that employee participate more in the ISRM process and activities.Â Â
A Domain Ontology for Eliciting Usability Features
Authors: Wen Too Chian , Hassan Saâ€™adah , Azim Abdul Ghani Abdul , Din Jamilah
Published: July 2024

One of the crucial factors that can influence user preferences of software is usability.Â  It assesses the extent of which software able to facilitate user and use the software easily and effectively.Â  Typically, usability requirements are specified at the design stage of software development due to its characteristic that is subjective in nature and hard to be elicited at the early stage. As a result, the lack identification and improper treatment of usability features always caused the failure of a software product. Consequently, it increased the cost and effort of rework. Essentially, it suggested that usability need to be specified at the requirements engineering stage to complement the software functional requirements.Â  This paper presents a preliminary study on current efforts to support the activities in identifying usability attributes in the software functional requirements. The potential of adopting pattern and ontology for identifying usability features are also presented. The development of domain ontology is proposed to fill the gap of the current efforts where there is lack of usability driven semantic knowledge model to support the usability elicitation tasks. The designed domain ontology is expected to overcome the problems resulted from software developer that lack of sufficient knowledge or expertise in eliciting usability features at requirements engineering level. The main contribution is to provide a guideline to aid the requirements engineer to elicit and specify usability requirements start from the early stage of development phases. Â Â Â
Cognitive-Behaviour Intervention in Developing an Adaptive Learning Model for Students with Dyslexia
Authors: Suhaila Abdul Hamid Siti , Admodisastro Novia , Azim Abd. Ghani Abdul , Kamaruddin Azrina , Manshor Noridayu
Published: July 2024

Cognitive-Behaviour Intervention (CBI) is designed as a suitable intervention for students by identifying cognitive as well as behaviour conditions. Through CBI, the students' learning goals are easier to establish, and the skills related to particular conditions can be developed. Current dyslexiaâ€™s learning interventions were mostly developed to tackle cognitive or behaviour conditions separately. Whereas, the students with dyslexia suffer from cognitive deficiencies as well as behaviour challenges, both the conditions are interrelatedly. As a result, students with dyslexia reportedly underperform, lazy, ignorance and stupid due to the inappropriate learning style. In addition, there are very limited works that allow for adaptability in addressing the dynamic states of the student's learning process such as engagement. A study has shown that studentsâ€™ engagement could be a predictor of good academic performance. Therefore, in this paper, we present the approach to combine both cognitive and behaviour conditions of the students with dyslexia as well as the intervention in our proposed adaptive learning model. The cognitive model senses the studentâ€™s difficulties through exercise given while the behaviour model utilises the machine learning model to address the engagement states of the students. Finally, the model intervene by praising effort, hints and changing activity based on the studentâ€™s state. The results showed that a promising new way to assists students with dyslexia in their learning.Â
Mobile Malware Classification
Authors: Kasiran Zolidah , Awang Norkhushaini , Nurhanani Rusli Fatin
Published: July 2024

Android malware is growing in such an exponential pace which lead to the need of an efficient malware intrusionÂ  detection technique. The single approach of clustering or classification technique in malware intrusion detection yield to high negative positive alarm rate.. This project had proposed clustering in intrusion detection method using hybrid learning approaches combining K-Means clustering and NaÃ¯ve Bayes classification had been proposed.Â  The result had shown the improved false rate alarm in malware detection.Â Â
A Study on Detecting Misleading Online News Using Bigram and Cosine Similarity
Authors: Che Eembi Normala , Ishak Iskandar , Sidi Fatimah , Suriani Affendey Lilly
Published: July 2024

Fake news can impact negatively in terms of creating negative perception towards business, organization, and government. One of the ways that fake news is created is through deceptive news writing. Many researchers have developed approaches in detecting deceptive news content using machine-learning approach and each of the approach has its own focus. Previous researches emphasis on the components of the news content such as indetecting grammar, humor, punctuation, body-dependent and body-independent features. In this paper, a new approach in detecting deceptive news based on misleading news has been developed which is focusing on the similarity between the content and its headlines using bigram and cosine similarity. Based on the experiments, the proposed approach has better performance in terms of detecting deceptive news.Â Â
RESQ Banjir: a Mobile Apps for Emergency Rescue, Evacuation and Relief Center Management
Authors: Rafie Mohd Arshad Muhammad , Hj Mohamed Hasimah , Heikal Husin Mohd , Hafinaz Hassan Fadratul , Mohd Nazmee Wan Zainon Wan , Rahim Ahmad Abdul , Sabudin Maziani , . .
Published: July 2024

A quick response to urgent relief needs after a natural disaster is vital to the alleviation of a disasterâ€™s impact in the affected areas. Flood victims had difficulties in sending emergency relief requests as they had limited phone battery life to highlight their current location.Â  Such limitation led to the difficulty in locating the victims, which affected the effectiveness of coordinating a rescue and evacuation operation. In this research, we develop ResQ Banjir application which consists of Flood Rescue & Evacuation Operation Management (FREOM) and Flood Relief Centre Management (FRCM) to assist in flood disaster management. In these system, we exploits the existing and emerging technologies on smart phones and tablet such as sensors, cameras, GPS, SMS, Location Based System (LBS) and Augmented Reality (AR). The FREOM system is a web and mobile apps based system consist of the Rescue & Evacuation Management System (server) for rescue and evacuation operation monitoring & management at the flood operation center; SOS/SMS Flood apps for sending SOS help by victims; ResQ Banjir Skuad Penyelamat apps which is used by rescue teams to locate and rescue flood victims, and an Augmented Reality (AR) guidance system for location direction navigation guide. FRCM is a web based system which integrates a number of features such as flood relief center registry, shelter activation and management, inventory management and disbursement, and relief aid and goods supplies management.Â  We conducted a simulation testing that involves the overall capability of the applications. Both systems seem to be working in an efficient manner although there are some issues that exist.Â Â
Solving Classification Problem Using Ensemble Binarization Classifier
Authors: N. Shah Zainudin M. , Nasir Sulaiman Md. , Musapha Norwati , Perumal Thinagaran , Mohamed Raihani
Published: July 2024

Binarization strategy is broadly applied in solving various multi-class classification problems. However, the classifier model learning complexity tends to increase when expanding the number of problems into several replicas. One-Versus-All (OVA) is one of the strategies which transforming the ordinal multi-class classification problems into a series of two-class classification problems. The final output from each classifier model is combined in order to produce the final prediction. This binarization strategy has been proven as superior performance in accuracy than ordinal multi-class classifier model. However, learning model complexity (eg. Random Forest-RF ensemble decision trees) tends to increase when employing a large number of trees. Even though a large number of trees might produce a decent accuracy, generating time of the learning model is significantly longer. Hence, self-tuning tree parameter is introduced to tackle this matter. In such circumstances, a number of trees in the RF classifier are defined according to the number of class problem. In this paper, the OVA with self-tuning is evaluated based on parameter initialization in the context of RF ensemble decision tree. At the same time, the performance has also been compared with two classifier models such J48 and boosting for several well-known datasets.Â Â
Case Study of UPNM Students Performance Classification Algorithms
Authors: B. Rahayu Syarifah , D. Kamarudin Nur , Zainol Zuraini
Published: July 2024

Most students have a problem to keep track on their learning performance.Â  Some lecturers with high teaching hours and burden of administration jobs may have difficulty to identify weak and low performance students. In this study, three classification techniques are applied on educational datasets to predict the studentsâ€™ performance based on coursework assessments. Thus, this prediction results may help lecturers and students to improve their teaching and learning process. The objective of study is to predict studentsâ€™ performance based on coursework assessments using classification algorithms. The selected classification algorithms applied in this study such as J48 Decision Tree, NaÃ¯ve Bayes and kNN. WEKA is used as an experimental tool. The selected algorithms are applied on a data of student database of Data Mining subject. Findings shows NaÃ¯ve Bayes outperforms other classification algorithms with above 80% prediction rate. Thus, the studentsâ€™ performance for Data Mining Subject is improved. As a conclusion, the classification algorithms can predict studentsâ€™ performance on a particular subject based on coursework assessments.Â Â
Near Field Communication (NFC) Technology Security Vulnerabilities and Countermeasures
Authors: Mahinderjit Singh Manmeet , Aina Afiqah Ku Adzman Ku , Hassan Rohail
Published: July 2024

Nowadays; the adoption of Internet of things (IoT) technologies and applications in everyday is rising. IoT technology such as Near Field Communication (NFC) is vastly adopted due to its short range frequencies, making it a good candidate for token based security access control applications such as door systems and attendance systems. However, due to the miniature size of NFC tags; its clear text contents and unprotected communication channel between tag-reader-database; NFC technology is prone to security attacks such as the man in the middle; denial of services (DOS) and etc. These attacks lead to leakage of user critical data which could impact any organization adopting NFC applications and technologies. In this paper; NFC vulnerability, causing both security and privacy attacks studies in depth. By focusing on attacks such as DOS and data corruptions; existing risk assessment models are evaluated using Analytical Hierarchy Process (AHP) approach. Best practice in mitigating these attacks is presented as well. A case study on an existing NFC access control application is then used to demonstrate the effectiveness of best practice solutions proposed.Â Â Â