bluuebunny/crossref_metadata_2025 huggingface dataset:
Spiritual Well-Being of Adolescents that are Difficult to Manage at School
Authors: Kusmawati Ati , Hadi Cholichul , Putra M.G.Bagus Ani
Published: July 2024

This research aims to find out the spiritual well being of adolescents that are difficult to manage at school. The method used is the intrinsic case study which aims to understand an intrinsic characteristic of certain cases. The participants consist of 5 students from one of the junior high schools in Jakarta. The researcher conducted a thorough interview and provided assistance by using religious approaches (by praying dhuha, reciting Al-Qurâ€™an, and sharing which is done every morning before the class starts, in other words at 6.30-7.00). The result of this research is that students that are difficult to manage possess lower level of spiritual well being, due to the familyâ€™s lack of attention on both the students and their improvements. Parents, school, and friends influence them in many ways. To them, they should listen to what their friends say and act in the same way as their friends. This research also finds out that the reason for students to not listen to their teachers, obey the school rules, and to not listen to their parents are social medias and gadgets. After the assistance using religious approaches, changes in the behavior of the students that are difficult to manage can be found. Among those changes are their willingness to study, devote (pray and reciting Al-Qurâ€™an), utter less harsh words, not play their gadgets during lessons, and try to become a better person.
Investigating the effects of corporate governance on the relationship between earning management and corporate performance in the Bursa Malaysia
Authors: Nasiri Mojtaba , Sofian Dr.Saudah
Published: July 2024

The lack of transparency in financial reports has several reasons, but the most important is earnings management practice which is implemented by managers. Indeed, managers by using Earnings Management tools manipulate accounting information to achieve some goals. Corporate governance, whose primary goal is to deal with identifying potential mechanisms in which the shareholders of a corporation have more power and exercise control over the managers to protect their interests. This study investigates whether corporate governance affects the relationship between earnings management and firm performance by using listed companiesâ€™ data in Bursa Malaysia. Data from FTSE Russell has been used by applying the intersection function to the constituents of FTSE Top 100 Bursa Malaysia during the years 2011 to 2015, which includes 59 companies in the form of 295 company-year. The results show that discretionary accruals (DAs) have a significantly negative effect on return on equity and has significant positive effects on Tobinâ€™s q in the case of lack of consideration corporate governance moderating effect. On the other hands by considering the moderating effect of corporate governance variables, this equation has been changed, and the negative effect of earning management effects turns to neutral on ROE, and This effect has not been changed regarding Tobinâ€™s q.
Towards Industrial Revolution 4.0: Employers' Expectations on Fresh Engineering Graduates
Authors: Azmi Aini Najwa , Kamin Yusri , Noordin Muhammad Khair , Nasir Ahmad Nabil Md.
Published: July 2024

From the pass until now, the industry was affected by technological change and innovation. These paradigms are called industrial revolutions. These revolutions were caused by mechanization (1st industrial revolution), use of electrical energy (2nd industrial revolution) and electronics and automation (3rd industrial revolution).Â All these industrial revolutions did influence only the production itself, but also the labour market and the educational system as well.Â  Currently, due to the development of digitalization and robotics, we are facing the next industrial revolution, known as the Industry Revolution 4.0. The emerging technologies have huge effect on the education of people. Only qualified and highly educated employees will be able to control these technologies. The skills needed by employers' in the Industry 4.0 have change due to the changes of the technologies.Â In this paper, we present the non-technical skills those are demanded by employers' in Industry 4.0 based on recent studies by doing meta-analysis technique. In addition, interviews with five employers have been done to clarify the meta-analysis results. Based on the results, the non-technical skills which are demanded by employers are communication skills especially in English, teamwork skills, critical thinking and problem-solving skills, entrepreneur skills and computer skills. Universities should be exposed their students with much more of interdisciplinary teaching, research, innovation and valuable industrial training to meet current demands of industries.
Effective Search-Based Approach for Testing Non-Functional Properties in Software System: an Empirical Review
Authors: Bala N.M. , Suhailan S.
Published: July 2024

Search-based software testing (SBST)Â is considered an effective process in the generation of non-functional test cases. The SBSTÂ employs metaheuristic search techniques to evaluate the best-case and worst-case execution times of real-time scenarios. However, these search techniques suffer software re-modularization for software systems. In this paper, an exploratory review on some of these techniques such as Genetic Algorithms, Harmony Search and Simulated Annealing is presented by highlighting the fitness function employed, non â€“ functional testing and the challenges observed. The review also investigates each technique based on different applications employed in a white box, black-box, and gray-box testing. It shows that Harmony Search-Based Algorithm is the effective technique to address the problem of software re-modularization.
Digital pamphlet of Domestic Tourism based on Augmented Reality: The Promotion of Sidoarjo Urban Tourism Site
Authors: Dijaya Rohman , Suprayitno Eko Agus
Published: July 2024

Sidoarjo has the potential of historic sights of the world and the center of art heritage in East Java Indonesia. Augmented reality (AR) is being developed as an intelligent tourism promotion to provide information about real destinations and attractions from tourist attractions. Its use will maximize the satisfaction of tourists based on the active use of tourists. Several historic buildings in some areas of eastern Java have been almost recreated. We have taken advantage of the typical ethnic building of the town square to represent the board game. This study presents a new digital pamphlet of domestic tourism based on added facts. Through AR, this historic building generates new life, giving visitors a more engaging and interactive experience that further educates them about the temple itself and about the different historical periods in which the reliefs are carved. Augmented reality, combined with audio commentary in multiple languages, will help visitors to find different reliefs more easily and appreciate the true wonders of this site and the motives behind the historic building carvings.
Designing Immersive Serious Game Based on Soil Tillage : Polynomial Model for Horizontal Plowing Force Model
Authors: Adisusilo Anang Kukuh , Hariadi Mochamad , Mulyanto Eko , Purwantana Bambang , I Rad
Published: July 2024

Modeling is successful if it can reflect reality, identify and handle differences between reality and computing. To support the realization experience in the serious game, the results of the experiment are needed. If the results of the computational process have far-reaching differences with the results of the experiment, it can be difficult to achieve the learning function of the serious game and the missing of the immersivity, especially in the player's engagement. Experiment in this study can be generated using soil bin tools to determine the effect of vertical cutting angle, depth of plowing, and speed on horizontal plowing forces. A result of horizontal forces model on tillage using a moldboard plow was created as a basis for immersivity design in the serious game. In the computational process, to produce data close to the results of experiments, polynomial functions are used. In addition, the smallest error results in the 4th order. In short, with computational data based on the model approaching of the experiment, the engagement of players and serious game immersivity will be increased.
Data Analytics in the Utilization of ICT for Disaster Preparedness Plan of HEIs Region V
Authors: Arispe Maria Charmy A. , Jr Daniel E. Maligat, , Palaoag Thelma D.
Published: July 2024

This research paper provides an overview of Disaster Risk Management, its information and communication needs, and the applications of Information Communication Technology in its activities. It aimed to determine the utilization of ICT in Higher Education Institutions of Region V, Philippines through data analytics as basis for decision support for disaster preparedness planning. The results are summarized according to the number of respondents and type of disasters; data mining techniques for proper cooperation mechanisms with the usage of ICT; and the sentiment analysis to the current practices of HEIs in the utilization of ICT in disaster preparedness. By revealing the utilization of ICT for disaster preparedness in the higher education level, a collaborative solution as fundamental to the success of DRM was determined to help school communities better understand the current disaster situation and know how the community is recovering. Finally, a comprehensive disaster preparedness plan for HEIs of Region V in the utilization of ICT has been proposed to show that the potential impact of ICT for DRM policies and measures need to take into consideration on HEIs environment, and ensure that interventions do not increase studentâ€™s vulnerability to hazards.
Pilgrimsâ€™ Acceptance of Using Augmented Reality Applications While Performing The Hajj
Authors: Nassr Rasheed , Saleh Abdul aziz Hadi , Almalki Hassan M. , Almalki Sami , Musa Shahrulniza
Published: July 2024

The majority of pilgrims do not speak Arabic and may encounter difficulties performing Hajj in terms of appropriate procedures and places due to their unfamiliarity. Most pilgrims are there for the first time. Researchers and practitioners have sought to develop mobile-based applications to assist pilgrims in various tasks such as finding their way and avoid becoming lost, and to perform Hajj procedures properly based on guides on their mobiles. Among the developed applications, a few are based on augmented reality. Many remain in the research phase. However, the problem with many augmented-based applications developed for Hajj is the lack of user acceptance investigation before implementation. This study found that the applications developed for Hajj practices based on augmented reality lacked user acceptance test. This study proposes a model for user acceptance for mobile augmented reality applications developed for Hajj. It found that pilgrimsâ€™ motivations to use this type of application were ease of use and enjoyment, with little focus on its utility. This result is interpreted as meaning that the participants have yet to appreciate the utility of mobile augmented applications.
Protecting Online Privacy by Heightening Communication Path Using Different Hops Path Tor
Authors: Saad Amna , Roshidi Amran Ahmad , Mohamed Fadli Awang
Published: July 2024

The vulnerabilities within the internet cause unauthorized person to hack and steal our private data and spot our location within the cyber world. Some people do not think this as an issue. They would be more upset if the link is down, the connection is slow or when the link is intermittent. Hence, without their knowledge, their well- being is being monitored by an unknown person or group. The in- formation gained can later be used against their personal interests. Others are very concerned about this matter. They want to protect their privacy and identity in the cyber world. We proposed a solution to curb these activities by providing extra layers of internet connectivity protection, in order to create anonymous communication on demand. In this project we develop two, three and six hops security of the Tor wireless router on a Raspberry Pi 3. The client can choose to use, either hardware based 3-hops path standard security Tor or software based security Tor custom for 2-hops and 6-hops paths via application software rebuilding using MSYS2 and MNGW tool. Our result shows that there is no significant performance different in term of the connections response time regardless of the number of the Tor path lengths.Â Â
Speckle Filtering Method in the Gonad Ultrasound Image for Mahseerâ€™s Fish (Tor Tombroides)
Authors: Asmaa Abd Razak Nurul , Madzin Hizmawati , Khalid Fatimah , Rina Mustaffa Mas
Published: July 2024

In fish breeding production, it is crucial to know the maturation of the eggs before spawning. In order to do that, possible use of ultrasound in identifying the eggs in the gonad is investigated. From the previous studies, ultrasound imaging can be affected by speckle noise. Moreover, with the similarity and subtle difference between the speckle noise and mahseer eggs, there is a need to identify the suitable speckle filtering methods in order to find out the eggs in the gonad ultrasound image. Five speckle filtering methods, which are Mean, Median, Wiener, Speckle Reducing Anisotropic Diffusion (SRAD) and Optimized Bayesian Nonlocal Mean (OBNLM) are tested and compared. From the result, it is proven that Median filter is the best speckle filtering method compared to other four filtering method in order to eliminate the speckle noise in the gonad ultrasound image.Â Â
The Effectiveness of an Enhanced Weighted Method with a Unique Priority Value for Test Case Prioritization in Regression Testing
Authors: Ammar Asmaa , Baharom Salmi , Azim Abd Ghani Abdul , Din Jamilah
Published: July 2024

Regression testing is an important and costly strategy in software testing. To decrease its cost, many methods have been proposed including the test case prioritization methods. The aim of the prioritization methods is to define an ideal order of test cases that allows for higher coverage and early fault detection with minimal number of executed test cases. However, the problem with most of the existing test case prioritization methods is the random sorting of test cases when two or more test cases record equal priority values. In this paper, the effectiveness of an enhanced weighted method using a unique priority value, UniVal, is proposed. Unival prioritizes test cases based on code coverage criteria with information from history of previous executions.Â  In addition, a controlled experiment was executed, and the results were statistically analyzed to assess the effectiveness of the proposed method. The results indicates better performance with regard to prioritize test cases and achieve higher APFD values.Â Â Â
Association of People Factors with Successful Enterprise Architecture Implementation
Authors: Azaliah Abu Bakar Nur , Sumarni Hussien Surya
Published: July 2024

Many organizations are facing problem in Enterprise Architecture Implementation as it fails to meet expectations.Â  While much has been written about the success factors related to EA framework, EA tools, and business-IT alignment process, there are few empirical investigations focusing on the people factors.Â  Therefore, this paper aims to investigate the association of people factors with successful EA implementation by identifying seven people factors from the literature.Â  A quantitative survey was conducted to assess the hypothesis that these seven people factors are associated with the successful EA implementation.Â  The analysis reveals that only five factors are associated with the success of EA implementation, while two are not.Â  Based on the result, this study highlighted that it is important to analyze the people factors in details rather than one whole factor because each of the people factors identified has their own uniqueness and success elementsÂ Â
An Automated Test Case Generating Tool Using UML Activity Diagram
Authors: Abdul Monim Md , Nor Haizan Nor Rozi
Published: July 2024

Software or application testing is a process of executing a program with the goal of finding defect to make better system. In software testing phase, writing test cases is one of the important activities. Manually writing test cases approach is lengthy of time period and need more effort to accomplish the process. On the other hand, automated test case generation technique is the way to solve this issue and model-based test case generation approach would be the appropriate for this automation process. Usually, a model is required in model-based testing approach to generate the test cases and UML activity diagram is the model in our research. In this paper, we explained our proposed model-based test case generating approach and we successfully developed a tool based on our proposed technique that could generate test cases automatically using UML activity diagram as an input. Finally, we conducted an experiment on a real life simple application of a system using the tool and successfully able to show that our tool can produce same test cases as manually writing test cases of the same system but this tool can save a lot of time and effort as well.Â Â
Accessibility Design Issues with Malaysian News Websites: a Case Study Using a Checker and WAVE
Authors: Azwa Yazid Mariam , Hazri Jantan Azrul , Azim Abd Ghani Abdul , Kamaruddin Azrina , Admodisastro Novia
Published: July 2024

The objective of this research is to provide public society and web developers with a higher level of awareness on web accessibility issues in Malaysian websites. The finding is extremely crucial to avoid discrimination among the disable community to use Information and Communication Technologies (ICT) in their daily lives. Accessibility evaluation has been performed on four Malaysian broadsheet news websites using two online automated tools. The analysis is based on the compliance level of the WCAG (Web Content Accessibility Guidelines) 2.0 standard. The research also identified the common accessibility design issues found in most of Malaysian news websites. The result of this study shows that none of the Malaysian news website conformed with WCAG 2.0 standard. The websites fail to provide an alternative text to convey the information for non-text content in their websites. Therefore, serious improvement is needed to improve the accessibility of the websites with the aim to provide the universal access websites.Â
Enhanced Bring your Own Device (BYOD) Environment Security based on Blockchain Technology
Authors: Jamal Fara , Taufik Abdullah Mohd. , Abdullah Azizol , Mohd. Hanapi Zurina
Published: July 2024

BYOD is a practice by many organizations where employees can use their personal devices for work purpose. BYOD may bring a lot of advantages, but it also leads to security issues such as data leakages. Data can beÂ leakedÂ because of the weak authentication technique used to verify the user and the device. A secure authentication technique is whatÂ the organizationÂ needsÂ that equip with high security features. BlockchainÂ is the answer to this because blockchainÂ used cryptographic technology thatâ€™s not easy for hacker to break. This research proposes a user trust model that includes multifactor authentication combining with public and private key generated by blockchain and an agentless device trust model that can scan for malware and detect the device location. In order to secure the record and sensitive data, the record keeping model is built using blockchain technology where every activity related to the record is recorded in the digital ledger. This ledger can be used as evidence collection for further investigation. It is hoped the proposedÂ BYOD trust model solution can help organizations to minimize the number of cases in data leakage while allowing BYOD concept.Â Â
Design and Development of Topic-based Studentsâ€™ Knowledge Modelling System using Fuzzy Set Theory and Visual Analytics
Authors: Thing Ng Wen , Siong Teh Chee , Jen Chen Chwen
Published: July 2024

To the field of education, advances in technologies raise opportunities and challenges in delivering personalised learning to heterogeneous group of learners while monitoring and analysing their learning progress and learning outcomes. This paper addresses the challenges of gaining a big picture about learnersâ€™ knowledge that is essential for providing personalised learning. Next, a system that models studentsâ€™ knowledge is proposed in which topic-based approach, fuzzy set theory, and visual analytics were applied to design and develop the proposed system.Â  The proposed system was designed with the capabilities to model, analyse and report individual learnerâ€™s knowledge, whereas its applicability was presented and discussed based on a real-world case study.Â Â
A Model on Multiple Perspectives of Citizensâ€™ Trust in using Social Media for E-Government Services
Authors: Khan Sohrab , Zairah Ab. Rahim Nor , Maarop Nurazean
Published: July 2024

The lack of trust has a critical role in discouraging citizens to use social media for e-government services. Therefore, developing trust is an essential need for making citizensâ€™ comfortable to participate in government social media services. Majority of previous studies on the relationship with trust between government and people have been conducted on e-government websites. Those studies are quite narrow in terms of their scope to address multiple aspects of citizens trust. On the contrary, the context of using social media for e-government services has not received much attention by previous researchers. This study proposes an integrated model of trust from multiple perspectives with an objective to identify those factors that can influence citizensâ€™ trust in context of using social media as a technology for e-government services. The constructs in the proposed model were integrated from the trust literature and Technology Acceptance Model (TAM). The findings reveal individual characteristics, government factors, risk factors and social media characteristics as multiple antecedents of citizenâ€™s trust to use social media for e-government services. A research instrument was developed and validated to examine the proposed model. A pilot study was conducted, and the instrument was refined based on its results.Â Â
Applying Agile Concepts from Software Development into the Design of Flood Disaster Management Framework
Authors: F.Mat Saad M. , Abdul Latif A. , Othman M. , S.A. MOHD NOOR M.
Published: July 2024

Managing complex environment often requires flexibility in its processes. This is evident in flood management where the factors that determine the success of it is uncertain. A flexible flood management requires an agile frame-work that allows flexibility to respond to any possible event during a disaster. The concept of agile methods used in software development help to provide values that is used as a basis in offering agility in managing flood complexity. These values are observed during field studies of Standard Operating Procedures (SOP) implementation in managing flood impact at selected flood sites in Malaysia.Â  This study aim to identify the key values of agility in developing a framework based on the review of agile methods combined with factors identified from study of successful flood management. The developed framework is aligned with uncertainties mitigation by dividing the disaster areas into small sub-areas, improving communication, and empowering on-site response team with clear leadership.Â Â
Towards Employing Metrics in Measuring the Quality of Software Safety Critical Systems and Managing their Development
Authors: Din Jamilah , Din Rodziah , Yah Jusoh Yusmadi , Basheer Jasser Muhammed
Published: July 2024

Failures in safety critical systems have a high impact on the environment in which they are used. For that, developers usually follow specific development standards and techniques to avoid and reduce failures in such systems. Developers have to build safety critical systems considering the quality, complexity, and size factors in all the development phases beginning with the requirement gathering and ending with the maintenance and verification. In this paper, some quality models and some metrics for measuring the quality, complexity, and size of systems are explored. The metrics are classified to the development phases so that the classification indicates the degree of metrics usage in measuring the quality, complexity, and size factors in relation to the development phases. We are now working on relating the studied metrics in this paper with their impact on the development of the software safety critical system. We expect to use these metrics in the management of the development phases and processes of software safety critical systems so that a decision making could be performed based on the measurements of these metrics.Â Â
Exploring Design Guidelines of Tangible Interaction in Learning for Children with Dyslexia
Authors: Nurliana Jamali Siti , Admodisastro Novia , Azim Abd Ghani Abdul , Hassan Saâ€™adah , Kamaruddin Azrina , Suhaila Abdul Hamid Siti
Published: July 2024

Tangible Interaction (TI) has shown many benefits in various situations for it provides more direct manipulations and haptic feedback. In addition, TI also provide a more enjoyable learning environment.Â  Despite active research in TI, there is limited research on design learning, particularly associated with the TI for children with dyslexia. Current approaches are found to still depend on traditional multisensory teaching materials. However, some literatures argued that the use of traditional multisensory teaching materials used in the current teaching technique is less attractive, lack sense, offer no feedback such as sound and only rely heavily on the teacher. A preliminary study was conducted to understand better how TI works for children with dyslexia. The study is conducted by the research team using a semi-structured interview and observations with teachers who teach dyslexic children.Â  In this paper, an investigation of the teaching materials and learning approaches used in the Dyslexia Association of Malaysia (DAM) learning centre to support children with dyslexia were studied and analysed. Finally, design guidelines are constructed and proposed based on the data obtained from the study conducted. The design guidelines will be adopted to develop a tangible interaction between the learning model and its prototype for children with dyslexia.Â
Dynamic Service Adaptation Framework for Context Aware Mobile Cloud Learning Using Semantic-Based Approach
Authors: Muhammad Sufri , Admodisastro Novia , Osman Hafeez , Mohd Ali Norhayati
Published: July 2024

Current developments in IT involving mobile technology and cloud computing have also offered a modern way of teaching and learning. Effective learning methodologies that meet the learners' requirements as well as support learning resources (LR) with high flexibility, mobility and accessibility are currently the most key contribution of this technological advancement. Hence, Mobile Cloud Learning (MCL) has been introduced to boost the feature of m-learning that has already been on the market. MCL comprises of services that integrate with each other which are learning, assessment, feedback and analysis. These services need to be monitored, and continuous enhancement and evolvement are also required in the account of new learnersâ€™ requirements for the upgrading of services or maintaining the Quality of Services (QoS). Service-oriented systems need to be enhanced through a dynamic adaptation process during runtime to sense and react to the learnersâ€™ context or deviceâ€™s context known as context awareness to provide a better user experience. This is where ontologies and rule-based approaches are used for context representation, descriptions, and reasoning mechanisms to support the semantic discovery and matching of services. QoS consideration is essential to ensure the efficiency and correctness of the services offered during the adaptation process. Thus, this paper describes dynamic adaptation framework that leverages on a semantic-based approach for context-aware mobile cloud learning. This framework aims to support in-service adaptation by considering contextual information and QoS using ontologies and rule-based approaches.Â
Goal-Directed Approach and Design Principle Approach: a Comparative Study
Authors: Meei Hao Hoo , Jaafar Azizah , Hooi Ching Beh
Published: July 2024

Uncertainty arises from intuitive design, prioritize usability goal, trade-off among usability attributes, choose usability patterns, conflict opinion during evaluation are putting more difficulties for novice designers in design tasks. As previous studies focused on the effectiveness of novice designers through the use of design patterns, we extended the use of usability pattern to look into the delivery of prototype design. Furthermore, in the aspect of usability analysis, Analytical Hierarchical Process (AHP) technique was applied in the prioritization of usability criteria and usability problems. In this study, AHP is used to prioritize the usability goals and integrated with usability testing and cognitive walkthrough to affirm the result for better judgement. We developed the approach to guide novice designers for the achievement of the targeted usability goal and supported with a tool to capture the collective decisions in providing convinced result during comparative evaluation. We built the approach and compared it using an experimental study with the undergraduate students. Our results suggested that prototype designed by novice designers followed usability pattern approach would has more usability patterns applied into and was preferred by experts than using design principle approach.Â Â
A Hybrid Feature Selection Technique for Classification of Group-based Holy Quran Verses
Authors: Adeleke A. , Samsudin N.
Published: July 2024

Text classification problem is primarily applied in document labeling. However, the major setbacks with the existing feature selection techniques are high computational runtime associated with wrapper-based FS techniques and low classification accuracy performance associated with filter-based FS techniques. In this paper, a hybrid feature selection technique is proposed. The proposed hybrid technique is a combination of filter-based information gain (IG) and wrapper-based CFS algorithms. The specific purpose for this combination is to achieve both high classification accuracy performance (associated with wrapper) at lower computational runtime (associated with filter). The proposed IG-CFS technique is then applied to label Quranic verses of al-Baqara and al-Anaam from two major references, the English translation and commentary (tafsir). StringToWordVector with weighted TF-IDF method were used for preprocessing the textual data while four classifiers: naÃ¯ve bayes, libSVM, k-NN, and decision trees (J48) were experimented. The overall highest classification accuracy of 94.5% was achieved at 3.89secs runtime with the proposed IG-CFS technique.Â Â
A Library for Articulating the Measurement Streams with Columnar Data
Authors: DivÃ¡n Mario , Laura SÃ¡nchez Reynoso MarÃ­a
Published: July 2024

The CINCAMI/Measurement Interchange Schema (MIS) organizes jointly data and metadata generated from the heterogeneous measurement devices under the same data stream. The Processing Architecture based on Measurement Metadata (PAbMM) is a data stream engine which processes the data streams organized under the CINCAMI/MIS schema. PAbMM is able to replicate in real-time each measurement stream but limited to C-INCAMI/MIS. This constitutes a use limitation of CINCAMI/MIS because the reading, using and writing of the measures was previously performed just by PAbMM. The CINCAMImisConversor library extracts this functionality with the aim of fostering the using along with any measurement project who need it. The functionality extraction was guided by PAbMMÂ´s internal behavior, which is documented through SPEM metamodel. This allowed defining to the CincamimisConversorâ€™s object model, its implementation and carry forward a discrete simulation for having an associated time reference. As a contribution, the library allows the data format conversion from the CINCAMI/MIS streams to the columnar organization. The library could translate 4900 measures in approximately 11 ms.Â Â
Price Changes Analysis Using Association Rule Mining on Online Shopping Portals
Authors: Atikah Baharudin Aini , Mutalib Sofianita , Hamimah Abd Hamid Nurzeatul , Hayati Abdul Hamid Nor
Published: July 2024

In the recent years, the growth of online marketplace explodes and has become the new norm of shopping. Access to the internet allows consumers to visit local and global online marketplace. By using online shopping, consumers can view the latest products and comparing products' prices. Online marketplace offers flexibility and eases consumers in so many ways. On the contrary, it also has some limitations. Dynamic pricing allows sellers to enhance their marketing strategy by ensuring price competitive with other sellers. The frequent occurrence of real-time price changing limits the user to get the best deal. This paper discusses the analysis of price changes using Association Rule Mining. Price-ChARM finds a frequent pattern of price changes in corresponding to different timelines. On the online marketplace, due to multiple sellers can sell the same item with different offers such as delivery speed and dynamic pricing, the comparison can be quite tricky. We collected data from two well-known portals and we represent the dataset as set of prices for different products for the purpose of frequent itemset mining. We implement the Apriori algorithm and use a total amount of 3,960 records. We generate association rules from the frequent itemsets found in the records and visualize the confidence of 0.9 rules. The association rules represent the pattern of price changes in the portals. This study eases consumer shopping experiences by understanding the trend of price changes to provide a better decision in making a purchase.Â Â
Evaluation of Feature Selection Algorithm for Android Malware Detection
Authors: Hidayah Mazlan Nurul , Rahmi A Hamid Isredza
Published: July 2024

This paper synthesizes an evaluation of feature selection algorithm by utilizing Term Frequency Inverse Document Frequency (TF-IDF) as the main algorithm in Android malware detection. The Android features were filtered before detection process using TF-IDF algorithm. However, IDF is unaware to the training class labels and give incorrect weight value to some features. Therefore, the proposed approach modified the TF-IDF algorithm, where the algorithm focused on both sample and feature. Proposed algorithm applied considers the feature based on its level of importance. The related best features in the sample are selected using weight and priority ranking process. This increases the effect of important malware features selected in the Android application sample. These experiments are conducted on a sample collected from DREBIN dataset. The comparison between existing TF-IDF algorithm and modified TF-IDF (MTF-IDF) algorithm have been tested in various conditions such as different number of sample, different number of feature and combination of different types of feature. The analysis results show feature selection using MTF-IDF can improve malware detection analysis. MTF-IDF proved either using various kinds of feature or various kinds of dataset size, algorithm still effective for Android malware detection. MTF-IDF algorithm also proved that it could give appropriate scaling for all features in analyzing Android malware detection.Â Â
Comparative Study for Load Management of HBase and Cassandra Distributed Databases in Big Data
Authors: Y. Aldailamy Ali , Muhammed Abdullah , Ismail Waidah , Radman Abduljalil
Published: July 2024

The advancement in cloud computing, the increasing size of databases and the emergence of big data have made traditional data management system to be insufficient solution to store and manage such large-scale data. Therefore, there has been an emergence of new mechanisms for data storage that can handle large-scale data. NoSQL databases are used to store and manage large amount of data. They are intended to be open source, distributed and horizontally scalable in order to provide high performance. Scalability is one of the important features of such systems, it means that by increasing the number of nodes, more requests can be served per unit of time. Distribution and scalability are always companied with load management, which provides load balancing of work among multiple nodes. Load management efficiency varies from system to another according to the used load balancing technique. In this study, HBase and Cassandra load management with scalability will be evaluated as they are the most popular NoSQL databases modeled based on BigTable. In particular, this paper will compare and analyze the load management for the distributed performance of HBase and Cassandra using standard benchmark tool named Yahoo! Cloud Serving Benchmark (YCSB). The experiments will measure the performance of database operations with a different number of connections using different numbers of operations, database size, and processing nodes. The experimental results showed that HBase can provide better performance as the number of connections increase in the presence of horizontal scalability.Â Â
A Usability Evaluation of Image and Emojis in Graphical Password
Authors: Syabila Zabidi Nur , Mohd Norowi Noris , Wirza O.K. Rahmat Rahmita
Published: July 2024

This paper presented user preferences in applying image and emojis use in graphical password authentication application.Â  There is generally lack of two-factor authentication (2FA) approach in mobile devices.Â  A preliminary study and a user study (N=30) have been conducted to investigate on usability and security issues.Â  Both of the studies revealed the method of applying picture superiority effect to enhance memorability of graphical password.Â  Â Â
Using Continuous Spatial Configuration for Bezel Issues in a Multi-Mobile System
Authors: Beng Liang Ong , Rhun Ming Teo , Mohd Norowi Noris , Hazri Jantan Azrul
Published: July 2024

With the rapid moving technology and innovation, the current digital technology such as smartphones and tabletop system have become vital necessities to accommodate peopleâ€™s daily activities. As a more robust alternative to tabletop system, the multi-mobile system is also benefiting humansâ€™ interaction by combining multiple mobile devices to become a shared and larger touch surface display. This paper demonstrates the study on effects of bezels on a multi-mobile system which allows users to perform collaborative drawing task with mobile devices in an ad-hoc manner. Unfortunately, gaps and physical design of the mobile devices between the mobile displays cause inherent design problems to the multi-display structure.Â  Before conducting the experiments, two prototypes have been designed; high-fidelity prototype (without solution) and iterative prototype (with the continuous spatial configuration). Two user studies have been conducted with the prototypes by observing groups of students performing an interactive drawing task and the findings were compared. Results from the first user study show gaps and disjointed objects were observed in the drawing outcomes, while in the second user study, where the Continuous Spatial Configuration was implemented as a solution to this bezel issue, the gaps and spaces between the screens were eliminated by 94.8%. From this study, it is believed that implementing the Continuous Spatial Configuration in the prototype designs can improve the user experience in the context of collaboration beyond the use of expensive tabletops systems.Â Â Â
Fruits Recognition based on Texture Features and K-Nearest Neighbor
Authors: Izzani Kamal Ariffin Nur , Rina Mustaffa Mas , Nurliyana Abdullah Lili , Amelina Nasharuddin Nurul , . .
Published: July 2024

Malaysia is well-known for its variety of fruits available in the country such as pineapple, guava, durian, apple, and watermelon. Therefore, it is important for us to get to know more about fruits so that we can take advantage of all the benefits that each fruit can offer. However, problems may arise where a person may know nothing about a particular fruit apart from only having an image of it. Most of the fruit encyclopedias nowadays still rely on text as search input. Furthermore, various features are commonly utilised for representation which can lead to high computational complexity. Therefore, to overcome these problems, a content-based texture-only fruits recognition that accepts an image as input instead of text is proposed. A framework which extracts five texture features (homogeneity, energy, entropy, correlation, and contrast) based on Gray-level Co-occurrence Matrix (GLCM) descriptor is constructed. k-Nearest Neighbour (k-NN) is used at the classifier model to determine the type of fruits. The conducted empirical study has shown that the proposed work has the ability to effectively recognize fruit images with 100% accuracy.Â Â
Ease of use and Usefulness Evaluation of Medical Family Tree Data Visualization
Authors: Fatimah Bokhare Siti , Mohd Nazmee Wan Zainon Wan , Azam Osman Mohd , Zawawi Talib Abdullah
Published: July 2024

Ease of use and usefulness are two of the evaluation methods that are used frequently to evaluate software or visualization tools. It is used to investigate user acceptance and usually requires a model explaining people's attitudes and behavior as well as reliable and valid measurement instruments. Family trees on the other hand have many potentials to be explored for research purposes, especially medical family tree data or genogram. However, some limitations exist while using family tree or genogram, namely problems in visualizing the wealth and complexity of the information represented once a family tree gets bigger and more complex. Hence, a framework for exploring medical family tree data is proposed. This paper focus on the evaluation part that has been done in order to evaluate the ease of use and usefulness of the proposed visualization framework. The results will be helpful in understanding the potential and limitations of the proposed approach.Â
Data Mining Techniques for Predicting Employability in Morocco
Authors: Mohamed SAOUABI , Abdellah EZZATI
Published: July 2024

One of the biggest challenges for Big Data applications is to explore large volumes of data and extract valuable information and knowledge for future actions. Employment is the main form of social integration, a factor in improving living conditions and preventing risks of poverty and vulnerability and the most appropriate indicator for assessing the level of social cohesion in a country. Mining employability data will give decision makers a great view of the data and opportunities to make improvement in this sector. In this paper, we presented an experimental study comparing various classification data mining algorithms on employability data in Morocco, which are Decision tree, Logistic regression and NaÃ¯ve Bayes, which take place in the top 10 data mining algorithms identified by the IEEE International Conference on Data mining. The objective in our experiment is to choose the most efficient and suited algorithm for the employability data.Â  Â
Teaching and Learning Analytics to Support Teacher Inquiry
Authors: Hachem AlaouiHaroun Moulay , HACHEM El-Kaber , Ziti Cherif
Published: July 2024

Teaching In this article we are going to introduce the concept of reflective practice as an important instrument for practice-based professional development, as well as organizational learning and improvement; and define the concept of teacher inquiry as a key method for data-driven reflection on-action, related to the process where teachers build useful knowledge about teaching and learning through the deliberate and systematic study of their own practice. It also discusses some Teaching Analytics tools in our platform ASTEMOI to show how teacher can reflect on their teaching design. This study employs focus group as qualitative research methodology to discuss benefits of Teacher inquiry in the help of data-reflection on-action.Â Â
Structural Framework for Measuring the Performance of Information Systems â€“ Case Study
Authors: Falih N. , Abouhilal A.
Published: July 2024

Measuring the performance of Information System (IS) is considered as one of the main pillars of the IS governance in the company. Key performance indicators (KPI) are the most used tools for measuring IS performance. In this work, we propose a structural framework based on the extended ISO 194400 Meta-model that can provide a multiview meta-knowledge library, to enrich all the company dashboards for decision-making. In practice, we propose a case study in a Moroccan telecom company for deploying the proposed structural approach. We use especially Galois lattices in order to evaluate the synchronization level between some processes and key performance indicators as a contribution to measuring the performance of Information Systems.Â Â
Crime Prediction in the Era of Big
Authors: Ait El Bour Hicham , Amine Talhaoui Mohamed , Azzouazi Mohamed , Moulouki Reda
Published: July 2024

Big data has become in recent years the fashion for all companies and academic entities. The appearance of this field of research and discussion on a global scale is due to the development of society where each individual alone produces a large size of data of several types including videos, text, audio, logs, database etc. that are structured or unstructured that even this individual alone cannot be found there. If we cite social media, for example, we find unimaginable data.The fight against crime remains a priority for all societies and deploys enormous human, financial and technological resources to minimize this scourge.If we can know where, who and when with sufficient time lag, we can reach a goal of â€œzero crimes". Hence the need for a crime prediction system.Â Â
Predictive Analytics as A Service on Moroccan Tax Evasion
Authors: Jihal Houda , Amine Talhaoui Mohamed , Daif Abderrahmane , Azzouazi Mohamed
Published: July 2024

Tax evasion is a global problem in governments. It affects society by damaging public accounts and compromising government performance. The government must take a multidisciplinary approach to face this phenomenon. Analytics on big data enables government organizations to improve existing processes and operations and engage in entirely new types of analyses that werenâ€™t possible before. Predictive analytics combines the capabilities of machine learning, statistical analysis and data mining to forecast the future and allows tax authority to prevent tax fraud, reduce the cost of managing taxes and optimize public spending.The purpose of this paper is to predict income from direct Moroccan taxes based on the linear regression model as a first step in the fight of the tax evasion.Â Â