bluuebunny/crossref_metadata_2025_split huggingface dataset:
Student Learning Progress as Predictor for Graduate Employability Performance
Authors: Nor Afiqah Wan Othman Wan , Abdullah Aziman 
Published: June 2020

AbstractGraduate employability is a major concern for higher education industry. There is a lack of research on the use of program learning outcomes (PLO) data to predict graduate employability performance especially on the duration they get employed. Therefore, our motivation in this study is to investigate how PLO data can be used to predict graduate employability performance. This study adopted quantitative analysis as a research method by using Simple Linear Regression to measure the highest correlation and significance values between learning progress and duration graduate to get employed. The PLO data from all semesters were segmented into four-time segments: 1stSEM, MID SEM, Pre-LI and LI. The slope value of linear model from time series analysis of four-time segments is used as a value to determine the performance of student learning progress. 47 responses (22% response rate) from 216 graduates who completed their study from Faculty of Computing, Universiti Malaysia Pahang in 2018 has been received as a case study. We found that learning progress from PLO 3 and PLO 6 which are ‘Social Skills and Responsibilities’ and ‘Problem Solving and Scientific Skills’ respectively, show significant values on the duration to get employed. This study highlights student learning progress is potential to be used as a predictor for graduate employability performance.
Pathfinding Algorithms in Game Development
Authors: Rafiq Abdul , Asmawaty Abdul Kadir Tuty , Normaziah Ihsan Siti 
Published: June 2020

Abstract
This review paper provides an overview of a pathfinding algorithm for game development which focuses on the algorithms and their contribution to game development. The algorithms were categorised based on their search performance. The aim of this paper is to investigate and provide insights into pathfinding algorithms for game development in the last 10 years. We summarise all pathfinding algorithms and describe their result in terms of performance (time and memory). The result of this paper is metaheuristic techniques have better performance in terms of time and memory compared to heuristic techniques as a pathfinding algorithm.
Generic Code Clone Detection Model for Java Applications
Authors: Mubarak-Ali Al-Fahim , Sulaiman Shahida 
Published: June 2020

Abstract
Code clone is a common term used for codes that are repeated multiple times in a program. There are Type 1, Type 2, Type 3 and Type 4 code clones. Various code clone detection approaches and models have been used to detect a code clone. However, a major challenge faced in detecting code clone using these models is the lack of generality in detecting all clone types. To address this problem, Generic Code Clone Detection (GCCD) model that consists of five processes which are Preprocessing, Transformation, Parameterization, Categorization and Match Detection process is proposed. Initially, a pre-processing process produces source units through the application of five combinatorial rules. This is followed by the transformation process to produce transformed source units based on the letter to number substitution concept. Next, a parameterization process produces parameters used in categorization and match detection process. Next, a categorization process groups the source units into pools. Finally, a match detection process uses a hybrid exact matching with Euclidean distance to detect the clones. Based on these processes, a prototype of the GCCD was developed using Netbeans 8.0. The model was compared with the Generic Pipeline Model (GPM). The comparisons showed that the GCCD was able to detect clone pairs of Type-1 until Type-4 while the GPM was able to detect clone pair for Type-1 only. Furthermore, the GCCD prototype was empirically tested with Bellons benchmark data and it was able to detect clones in Java applications with up to 203,000 line of codes. As a conclusion, the GCCD model is able to overcome the lack of generality in detecting all code clone types by detecting Type 1, Type 2, Type 3 and Type 4 clones.
A Review of Divorce Information Management System
Authors: Abdullah Aziman , Asar AK , Shamsuddin Solehah , Affendy Omardin Mohammad 
Published: June 2020

Abstract
The social issue associate with divorce is not on the divorce process itself but rather than the impact to the individuals who experience divorce. Since divorce already become a stigma in society, most people perceived more on negative view instead of seeing it as a process to solve issues in marriage. With the high penetration of Internet technology globally especially the use of social network, it becomes a factor how people can cheat in marriage that lead to divorce. However, studies on the use of Internet or information technology in managing divorce is still lack. This paper aims to analyse the existing literature in Scopus database on divorce information management system and identify targeted stakeholders of the system. Our findings confirmed that there is lack of study on divorce information management system.
A Novel Learning Engagement Data Model (LEDM) for Online Attendance System
Authors: Abdullah Aziman , Asar AK , Alnisa’ Anis Alanna Binti Ruzelan Nur 
Published: June 2020

Abstract
Student engagement is a very interesting subject in higher education. While many studies assess student engagement through survey, this approach claimed in literatures is lack of contextual analysis for decision making. Our motivation in this study is to integrate a simple way to assess student engagement of face-to-face session in blended learning approach within the online attendance system by identifying the data model supporting insightful analytics. This study aims to propose a new learning engagement data model incorporating behaviour, emotional and cognitive engagement for online attendance system. We found an interesting insight which there is a relationship of student engagements with the learning outcomes attainment. Initial findings in this study show potential values how our proposal may benefit higher education in adopting smarter way to measure student engagement while taking student attendance during face-to-face session in blended learning implementation.
Improving Green IT Assessment Tool Using Case-Based Reasoning Concept
Authors: Xiao Ying Chua , Abdul Majid Mazlina , Anthony Lojuntin Steve 
Published: June 2020

Abstract
In order to know how to measure their level of green practices, green assessment tool is there to act as a guide or as some might called it as a bench marker. Although, there are existing green assessment tools but there is inadequate existing green assessment tool with a recommendation feature. Recommendation feature is meant to aid users especially new user with their green practices. In this paper, case-based reasoning concept is chosen to produce this recommendation features. Besides that, Rapid Application Development Model is used in this research. The expected result of this research is to improve an existing green assessment tool to provide recommendation to user. With this paper, it can help raise user’s level of green awareness and improve their practices.
Swarm intelligence algorithms’ solutions to the travelling salesman’s problem
Authors: Odili J B. , Noraziah A. , Mohd Sidek Roslina 
Published: June 2020

Abstract
This paper presents research findings on the application of swarm intelligence techniques in computational intelligence to solve the travelling salesman’s problem. The travelling salesman’s problem finds real-life application in post office mail delivery, school bus routing, delivery of food to home-bound people etc. After a number of experimental procedures, the study concludes that all the comparative algorithms are very efficient in providing solutions to the benchmark travelling salesman’s problems considered, though the Discrete Cuckoo Search and the African Buffalo Optimization have a slight edge in performance over the other comparative algorithms. In all, the study agrees with earlier studies in reaching the conclusion that swarm-based optimization techniques are not only effective but also are very efficient in providing solutions to the travelling salesman’s problems.
A Comparison of Particle Swarm optimization and Global African Buffalo Optimization
Authors: Adam Kunna Azrag Mohammed , Asmawaty Abdul Kadir Tuty , Mohd Ali Noorlin 
Published: June 2020

Abstract
The performance of Particle Swarm Optimization (PSO) brings attention to the field of algorithms when deals with different optimization problems. Due to her simple implementation, small consumption, and very effective in finding a solution in many problems, (PSO) becomes well known to the field of algorithms. In addition, the late proposed algorithms mostly are compared to the well-known algorithm such as PSO. Thus, the Global African Buffalo Optimization (GABO) was proposed lately and yet not been compared to the old well-known algorithms in terms of accuracy and time consumption. However, in this paper, a comparison between Particle Swarm Optimization (PSO) and Global African Buffalo Optimization (GABO) algorithms was performed. Five different nonlinear equations with their upper and lower boundaries values were selected as the test optimization functions problem in addition to PSO was applied to real case study. The experimental results illustrated the differences in the performances of both algorithms toward the optimum solution. At the end of the experiments, the PSO algorithm quickly convergence towards the optimum solution using a few particles and iterations rather than GABO. However, the experimental result showed that PSO achieved good results in all the test cases within a short time. In many cases, PSO and GABO are promising optimization methods.
Optimizing Production Planning for Tempe Babe Within Goal Programming Method
Authors: Sulindawaty  , Effendi Syahril , Zarlis Muhammad , Mawengkang Herman 
Published: June 2020

Abstract
Production planning is the most important part of the production process in Tempe Babe. The material consideration in the production planning in this research is the optimizing of the amount of production in fulfilling the number of tempe demand, optimizing of the amount of profit Tempe obtained and the minimization of the amount of raw materials used for Tempe production. The implementation of the goal programming method can provide solutions for optimizing production planning on Tempe Babe, where the deviational variables in goal programming serve to demonstrate the possibility of negative and positive deviations from right side value of the destination function. The results of calculation analysis with goal programming, indicating the excess amount of product production will be added to the product that has the biggest advantage and the excess amount of production will be added to the product that has the number of requests Optimal profit from each product resulting in the amount of prediction of Tempe production. The results of this research provide the optimum solution for production planning on Tempe Babe every month. In addition, this study also resulted in a new mindset to find production planning models in the IoT environment as a continuation of this research.
Enhanced Global and Local Curvature Properties for Corner Detection
Authors: Abu Bakar Suraya , Suzuri Hitam Muhammad , Nural Jawahir Hj Wan Yussof Wan , Sulaiman Junaida 
Published: June 2020

Abstract
Corner detection is basically a methods used to extract certain kind of features in images which could produce some information including the location or position of the corner points. Thus, in this paper an enhancement shape corner detection method is proposed to detect true corners of shape images. The overall performance of the proposed enhanced shape corner detector and six other existing shape detectors and descriptors including Harris, SUSAN, Harris-Laplace, CSS, SIFT and global and local curvature properties is presented. The experimental results of corner detection methods are tested using the benchmark binary image MPEG-7 Core Experiment Shape-1 Part B dataset. To measure the performance of corner detection evaluation, an appropriate number of true corners were determined.
Contextualizing The Framework For Knowledge Management System At The Organizational Level
Authors: Fakhrulnizam Mohammad Mohammad , Abdullah Rusli , Ab. Jabar Marzanah , Nor Haizan Nor Rozi 
Published: June 2020

Abstract
Formulation of knowledge management system (KMS) is significance to support knowledge management activities within organizations; moreover, information technology has become the driving factors for business strategies and directions. In the past studies, the focus of KMS establishment are diverse; ranging from its successful adoption, perceived usefulness of the users or on its supporting roles in organization strategy to improve their performance and smooth operations. Despite its benefits to the organization, however, gap has been identified on the lack of existence and definition of KMS framework at the organizational level studied by other researchers. Thus, the objective of this study is to formulate the KMS framework at the organizational level known as OKMS (organization-based knowledge management system). This study is performed by methodologically conducting a review and analysis of the past literature and related areas of concern on establishment of KMS. Outcome of this study will not only help to motivate for other future empirical and theoretical research for KMS at the organization level, but, it also provide a departing point for other KMS researches establishment for organizations.
Approaches in Creating Meta-requirement: A Systematic Literature Review
Authors: Idaham Umar Ong Muhamad , Ariff Ameedeen Mohamed , Edzereiq Kamarudin Imran 
Published: June 2020

Abstract
Common development team will spend less resources on User Requirement Specification (URS) validation, in the case of development project that provides this URS in the phase of competing for tender. In order to overcome this, the use of meta-requirement in evaluation of requirements is being introduce. The purpose of this article is to present the finding of a systematic literature review of meta-requirements. A methodology that involve defining a systematic way of finding literature and presenting it in a meaningful manner has been adopted. Meta-requirement is an area that is station within the field of information system design theory which is contain in the design research body of knowledge. Based on the result of the analysis of the systematic literature review, it is shown that there is still advancement in the field of meta-requirement and there still improvement that can be done to further the knowledge and contribution in this area. It is suggested that further research that will define a highly comprehensive model of creating meta-requirement should be undergo and the issue of meta-requirement traceability against real-world requirements should be tackle.
User Requirement Validation: Challenge Exploration in Pre-project Execution
Authors: Idaham Umar Ong Muhamad , Ariff Ameedeen Mohamed 
Published: June 2020

Abstract
The need for validation technique for user requirement or in other term Tender Specification at the Request for Tender (RFT) is vital. Without much resource for vendor to dispose of, the outcome of this research will proof useful. The purpose of this article is to determine the gap of initial and finish software product, method of eliminate or mitigate those gaps, list of OO artefacts and their relevancy towards the research. Finding of this article will be the basis of interconnecting user requirement specification and meta-requirement via UML. Based on the result, RE plays an important role in the survivability of a project, there are a few researches being done for solutions in the field of RFT specification validation, UML is the most relevant artefacts and usability of UML diagram ranked based on consistency is relevant toward connecting UML and meta-requirement. It is suggested that further research is to be carried out that will define the connection between user requirement specification in the form of UML to meta-requirement in order to achieve the overall objective of the research.
Literature review on Functional Requirements for Function Point Analysis in Mobile Game
Authors: Atiqah Sia Abdullah Nur , Ida Aniza Rusli Nur 
Published: June 2020

Abstract
Functional size measurement has been widely used as the effort prediction method for software project over the past decades. Despite the success in predicting the cost, time requirement, and staff resources utilizing the amount of functionality delivered by a system, the method still needs to be improved further especially in dealing with mobile application characteristics. In the domain of mobile game application, the functional features can be challenging to identify wholly due to various application platforms, diversity of game genre, and complex game scenario. This paper presents a literature review concerning the functional requirements of the mobile game. The review includes the process of defining the research question, search strategy, and selection of study. Fifty-three articles were found in the academic libraries, and only 30 relevant studies were selected for the review. This literature review aims to provide researchers and practitioners in software measurement and gaming technology with an overview of common functional characteristics in the mobile game, which can be integrated into the functional size measurement method.
Mobile Learning Application Impact Towards Student Performance in Programming Subject
Authors: Farahah Abdul Halim Nurul , Nincarean Eh Phon Danakorn 
Published: June 2020

Abstract
Writing a program is significant basic proficiency for computer science students. However, majority of the students found it is difficult to learn and score a high mark. In an era of rapidly changing technologies, mobile learning has received increasing emphasis and widely used among educational practitioners and researchers. Thus, the objective of this study is to investigate the factors that influence students learning performance and evaluate the effectiveness of mobile learning using Learn C application in Programming subject. Prior to the factors that influence students learning outcome, a survey was conducted with 88 first year undergraduate students from Faculty of Computer Systems & Software Engineering. Next, a pre-experimental one group pretest-posttest research design was employed with 17 students as respondents to examine the impact of mobile learning application. The collected data was then analysed using thematic analysis, descriptive and inferential statistics. The results showed that there are several factors that affect students learning performance in programming that is, misunderstanding, lack of practices, poor logical thinking and problem solving, no prior knowledge, psychological disorder, less interest, ineffective teaching method and bad attitude. The paired sample t-test of student’s pre-test and post-test scores demonstrate that there were no significant differences before and after the treatment through mobile learning application given. The study has gone some way in enhancing our understanding of factors that affect student in programming learning which could be used to facilitate the development of the students programming abilities.
A Model of the Best Private University Selection in Aceh
Authors: Taufiq  , Zarlis Muhammad , Mawengkang Herman , Suwilo Saib 
Published: June 2020

Abstract
The Integrated Population Decision Support Model in the village needs to be developed according to the rules of Law number 6 of 2014 with a decision information system model that can assist one in making accurate and targeted decisions in choosing a university. Many problems can be solved using a model, one of which is the Decision Making System, for the Determination of Human Resources in an area. There are several models that have been built including Analytical Hierarchy Process (AHP). which is the most widely used research method in solving multi-criteria problems, such as in the Determination of Human Resource Selection. This research model uses Analytical Hierarchy Process (AHP) in determining the University for a superior place of learning for human resources. In determining the University, there are several basic decision-making, including the place of the educational model, the model of expertise / skills taught, reputation, quality, teaching and learning process. The final results in this study are the priority results of university criteria, which are sorted from highest to lowest, so that prospective student users who wish to continue their higher education in choosing a regional university (rural) can easily make decisions by determining the university in the village which, and finally this model is almost 80% accurate.
A Review of User Authentication Model for Online Banking System based on Mobile IMEI Number
Authors: Hammood Waleed A. , Abdullah Ruzaini , Hammood Omar A. , Mohamad Asmara Salwana , Al-Sharafi Mohammed A. , Muttaleb Hasan Ali 
Published: June 2020

Abstract
The traditional banking system, such as transactions over the counter using bank book is enhanced by adding the elements of electronic banking, where nowadays all transaction can be done over the network, because of globalization and the advancement of information and communication technology. However, significant threats to this technology also come in parallel, such as from banking frauds. This is why building trust among banking users by providing security mechanisms is very important. In the electronic banking, security mechanisms mainly focus on proving a secure environment for the online transaction, especially user authentication. Many researchers have been proposed various models for the online user access authentication for the banking industry. Most of the researches are based on traditional the form of username and password, but with the varying mechanism of password forms. For example, password in arbitrary value, password in arbitrary value through secured channel, as well as biometric like fingerprint recognition, voice recognition, or retina recognition. In this paper we reviewed the current existing user access for online banking based on mobile phone, the functions of the SIM card, the characteristics mobile of the SIM card are described. Cloning, a threat to the SIM card is also described. Findings show that all the security model for online user access contains password in the form of value, biometric, or PIN. Thus, none of the existing user access proposed the idea of the user access based on International Mobile Equipment Identity (IMEI) number to strength the security of the user access. The IMEI is a 15- or 17-digit code that uniquely identifies mobile phone sets.