bluuebunny/crossref_metadata_2025 huggingface dataset:
Multiple interference components in a fiber Mach–Zehnder interferometer sensor and their influence on wavelength shift tracing
Authors: Zong Shuyao , Wen Xiaoyan , Li Min , Lv Haifei
Published: June 2020

In this paper, multiple interference components in a fiber Mach–Zehnder interferometer sensor and their influence on wavelength shift tracing were studied, based on which a frequency filtering method followed by inverse Fourier transform was proposed to improve the sensor’s response accuracy. Firstly, multiple interference components in the transmission spectrum of a fiber MMF-SMF-MMF structure were simulated, and environmental response discrepancy in different components was calculated. Then, Fourier transform was performed on the transmission spectrum followed by frequency filtering to pick out the dominant interference component. An inverse Fourier transform was then carried out to obtain the wavelength shift which was undisturbed by minor interference components. The method was demonstrated by temperature and ambient refractive index (RI) calibration experiments as well as verification tests. The deviation between temperature sensitivity obtained with and without frequency filtering was 39%. The verification test at 80 °C was carried out and the measurement error was three times lower due to frequency filtering. For RI sensing, the deviation between sensitivity obtained with and without filtering was 19%. Measurement errors at 1.3706 of RI were seven times decreased after frequency filtering. Due to its simplicity and efficiency, the proposed method is believed to have extensive application prospects in sensing fields, especially when high-precision temperature and RI sensing are desired.
Collisional effects on the electrostatic shock dynamics in thin-foil targets driven by an ultraintense short pulse laser
Authors: Sundström A , Gremillet L , Siminos E , Pusztai I
Published: June 2020

We numerically investigate the impact of Coulomb collisions on the ion dynamics in high-Z, solid density caesium hydride and copper targets, irradiated by high-intensity (

I
≈
2

−

5
×

10

20

 

W
 
c

m

−
2

), ultrashort (∼10 fs), circularly polarized laser pulses, using particle-in-cell simulations. Collisions significantly enhance electron heating, thereby strongly increasing the speed of a shock wave launched in the laser-plasma interaction. In the caesium hydride target, collisions between the two ion species heat the protons to ∼100−1000 eV temperatures. However, in contrast to previous work (A E Turrell et al 2015 Nat. Commun.
6 8905), this process happens in the upstream only, due to nearly total proton reflection. This difference is ascribed to distinct models used to treat collisions in dense/cold plasmas. In the case of a copper target, ion reflection can start as a self-amplifying process, bootstrapping itself. Afterwards, collisions between the reflected and upstream ions heat these two populations significantly. When increasing the pulse duration to 60 fs, the shock front more clearly decouples from the laser piston, and so can be studied without direct interference from the laser. The shock wave formed at early times exhibits properties typical of both hydrodynamic and electrostatic shocks, including ion reflection. At late times, the shock is seen to evolve into a hydrodynamic blast wave.
Ξbb and Ωbbb molecular states *
Authors: Dias J. M. , Yu Qi-Xin , Liang Wei-Hong , Sun Zhi-Feng , Xie Ju-Jun , Oset E.
Published: June 2020

Using the vector exchange interaction in the local hidden gauge approach, which in the light quark sector generates the chiral Lagrangians and has produced realistic results for

and the hidden charm pentaquark states, we study the meson-baryon interactions in the coupled channels that lead to the

and

excited states of the molecular type. We obtain seven states of the

type with energies between

and

MeV, and one

state at

MeV.
Exact solution of U(5)–O(6) transitional description in interacting boson model with two-particle and two-hole configuration mixing *
Authors: Dai Lianrong , Pan Feng , Feng Ziwei , Zhang Yu , Cui Sai , Draayer J. P.
Published: June 2020

The exact solution of the U(5)-O(6) transitional description in the interacting boson model with two-particle and two-hole configuration mixing is derived based on the Bethe ansatz approach. The Bethe ansatz equations are provided to determine the model's eigenstates and corresponding eigen-energies. N= 2 and N= 4 cases are considered as examples to demonstrate the solution features. As an example of the application, some low-lying level energies and B(E2) ratios of 108Cd are fitted and compared with the corresponding experimental data.
Gyroscope precession frequency analysis of a five-dimensional charged rotating Kaluza-Klein black hole
Authors: Azreg-Aïnou Mustapha , Jamil Mubasher , Lin Kai
Published: June 2020

We study the spin precession frequency of a test gyroscope attached to a stationary observer in the five-dimensional rotating Kaluza-Klein black hole (RKKBH). We derive the conditions under which the test gyroscope moves along a timelike trajectory in this geometry, and the regions where the spin precession frequency diverges. The magnitude of the gyroscope precession frequency around the KK black hole diverges at two spatial locations outside the event horizon. However, in the static case, the behavior of the Lense-Thirring frequency of a gyroscope around the KK black hole is similar to the ordinary Schwarzschild black hole. Since a rotating Kaluza-Klein black hole is a generalization of the Kerr-Newman black hole, we present two mass-independent schemes to distinguish these two spacetimes.
Collision of spinning particles near BTZ black holes *
Authors: Yuan Xulong , Liu Yunlong , Zhang Xiangdong
Published: June 2020

We study the collision property of spinning particles near a Bañados-Teitelboim-Zanelli (BTZ) black hole. Our results show that although the center-of-mass energy of two ingoing particles diverges if one of the particles possesses a critical angular momentum, the particle with critical angular momentum cannot exist outside of the horizon due to violation of the timelike constraint. Further detailed investigation indicates that only a particle with a subcritical angular momentum is allowed to exist near an extremal rotating BTZ black hole, and the corresponding collision center-of-mass energy can be arbitrarily large in a critical angular momentum limit.
P-V criticality and Joule-Thomson expansion of charged AdS black holes in the Rastall gravity *
Authors: Meng Yuan , Pu Jin , Jiang Qing-Quan
Published: June 2020

We discuss the

criticality and the Joule-Thomson expansion of charged AdS black holes in the Rastall gravity. We find that although the equation-of-state of a charged AdS black hole in the Rastall gravity is related to the Rastall parameter

, its reduced equation-of-state at the critical point is independent of the Rastall parameter

, as is the case in the Einstein gravity where

. This is the reason why the critical exponents are not related to the Rastall parameter

. We also find that the inversion temperature

is related to the Rastall parameter

, but that the minimum inversion temperature

and the ratio

between the minimum inversion temperature and the critical temperature are both independent of the Rastall parameter

. At the critical point, the thermodynamic evolution of a charged AdS black hole in the Rastall gravity behaves as in the van der Waals fluid and charged AdS black hole in the Einstein gravity. We show the inversion curves and isenthalpic curves in the

plane and analyze the effect of the Rastall constant

on the inversion curves of a charged AdS black hole during the Joule-Thomson expansion.
Survival and Performance of Hydrilla verticillata (L.f.) Royle and Eichhornia crassipes (Mart.) Solms as Phytoremediator on Leachate of Jatibarang Landfill in Semarang, Central Java
Authors: Muftiana Maria , Izzati Munifatul , Soeprobowati Tri Retnaningsih
Published: June 2020

Leachate is liquid waste released from accumulated landfill which contains various dissolved compound, particularly organic matter. Leachate rinses the dissolved materials, as well as organic materials from biological decomposition process. Decomposition process releases decomposition result quickly using available oxygen and creates anoxic environment. Leachate can cause water pollution, both of ground and surface water that needs to be handled properly. The aim of this study to evaluate the survival and performance of H.verticillata and E.crassipes as phytoremediator on leachate of Jatibarang landfill in Semarang. This research used leachate which is combined with fresh water. There were three repetition of it is treatment. The treatment are 100% leachate, 75% leachate dissolved with 25% fresh water, 50% leachate dissolved with 50% fresh water and 25% leachate dissolved with 75% fresh water. Phytoremediator plant in fresh water without leachate served as control. Results of the study showed that the presence of E. crassipes was effective in increasing pH and dissolved oxygen in leachate. Compared to H. verticillata, E. crassipes shows better survival growth rates and performance. To reach an optimum remediation result the leachate should be dissolved in 25% leachate and 75% of fresh water.
Plants Diversity of Agroforestry System in Ciliwung Riparian Landscape, Bogor Municipality
Authors: Prastiyo Y B , Kaswanto R L , Arifin Hadi Susilo
Published: June 2020

Ciliwung riparian has facing land use change problem due to settlement occupation, particularly in Bogor which is a municipality with a high population increase in Indonesia. These problem has reduced agroforestry land use of Ciliwung riparian, such as talun (forest garden), kebun campuran (mixed garden), and pekarangan (home garden) which ultimately reduce one of riparian landscape services, that is conserving of plants diversity. Therefore, the purpose of this paper is to show the research result of capacity of conserving plant diversity of agroforestry land use, as a basis for arranging the management of Ciliwung riparian landscape in Bogor Municipality. This study used 14 sample plots of agroforestry land use (4 taluns, 5 kebun campurans, 5 pekarangans) with purposive sampling method, for vegetation analysis of agroforestry land use. Plants diversity was calculated based on value of Shannon-Wiener diversity index (H’) and Margalef richness species index (Dm). The results showed that Ciliwung riparian vegetation in Bogor Municipality was dominated by groundcover plants (0-1 m) and tree plants (5-10 m) with functions as ornamental and conservation plants. The species diversity of agroforestry land use of Ciliwung riparian of Bogor was in medium category (1<H’<3) on average. Kebun campuran has H’ index of 2.07, talun of 1.84, and pekarangan of 1.55. The species richness Dm of talun is 4.32 (high category), while pekarangan and kebun campuran have Dm values in medium category, with values of 3.90 and 3.63 respectively. Overall agroforestry land use of Ciliwung riparian in Bogor Municipality has a good plants diversity (medium-high category), so it can be considered to have fairly balanced ecosystem conditions and medium ecological pressure. This diversity is useful for maintaining the quality and quantity of urban water system in Bogor.
SDGs involvement introducing graduates participation in rural sustainability
Authors: Kyaw Thain Shewe
Published: June 2020

Most of the developing countries like China, India, Malaysia, Bangladesh, and others are insisting on higher education in nation’s development. It is admissible to say that the urgency of higher education comes intending to retain continuity of economic growth. In developing counties-the job market awaits knowledgeable workers, hence a need for quality education; besides, parents believe that a bright future could only be ensured through higher education. Nevertheless, the higher education system and its global context transformed youth into a product for a competitive market. This product has more value in urban context than the rural. There arise difficulties for the youth (of rural areas) to retreat, backed by an intention to share the fruits of his/her higher degrees with his local people. This study tends to uproot the intended consequences, which are regulating and become significant barriers to graduates’ participation in rural sustainability. In this context, this paper addresses the question: Do SDGs agendas introducing graduates’ participation in rural sustainability? The answer could be explored observing and analysing institutional (Governmental) and organizational (NGO) activities with (local) graduates in rural areas. SDGs involvements almost reach the root level to aid the rural people, and these goals are a part of community development in the rural area. Graduates’ aspiration to work for rural sustainability and against this, the opportunities to be available, is a challenge for developing countries. To achieve SDGs by 2030, developing nations must overcome this challenge. Moreover, SDGs agencies are cooperating with developing nations to overcome this challenge.
A Preliminary Component Model for IoT
Authors: Kamarudin Arbaayah , Yap Ng Keng , Abdullahi Ali Mohamed , Swee Phang Lim
Published: June 2020

The enthusiasm of IT entrepreneurs in producing Internet of Things (IoT) systems is undeniable as currently, the number of connected devices is enormously increasing. Many research has been done to efficiently develop IoT systems. IoT systems are usually engineered from scratch. IoT component models have been introduced but lack of generic development framework or model that supports high reusability and loose coupling in dealing with the heterogeneous devices that can hinder its development. Thus, an IoT component model is proposed. Meta-modelling has been used to define the component model where the specific interaction and composition standard in a component are abstracted. IoT component model is intended to develop a prototype for IoT development. With this IoT prototype, IoT system developers will not need to develop everything from scratch every time, as generic components can be reused even when it is applied in different domains or during system enhancement is required. Smart home IoT system has been selected as a case study to evaluate our prototype tool. In this study, we provide an alternative way to develop IoT software in component-based software engineering method. A prototype has also been developed to assist reusability and reduce coupling between modules.
Implementation of the Greedy Algorithm to determine the nearest route Search in distributing food production
Authors: Fahmi Hasanul , Zarlis Muhammad , Nababan Erna B , Sihombing Poltak
Published: June 2020

Distribution is the activity of allocating goods from producers to customers within allocated time. Managing product distribution is very important for the survival of a company, yet improper planning and management will cause the production is stacked in the warehouse thus this will cause unhealthy financial cycles and turnover to the company itself. Nowadays many companies produce foodstuffs but one of the major problems faced by the companies are the delays in distributing food production. It is found that the common difficulty faced by the food production companies in distributing the product due to long travelling distance, traffic congestion, natural disasters, ambiguous routes as well as unstructured routes. To overcome the problems, greedy algorithm is implemented. The algorithm able to identify the optimal pathway and time consumption by finding the closest distance, followed by the utmost distance. Therefore this will reduce the cost of distribution and other company resources. The results of this study show that the algorithm identifies Route 5 as the best route. This is because it will go through 5 cities, namely A-B-C-F-G-H with distance of 648KM. Although it is considered as long travelling distance, on the other hand the algorithm suggests that 648KM is the optimum distance to travelling to city H.
A Geofencing-based Recent Trends Identification from Twitter Data
Authors: Saef Ullah Miah M. , Sadid Tahsin M. , Azad Saiful , Rabby Gollam , Sirajul Islam M. , Uddin Shihab , Masuduzzaman M.
Published: June 2020

For facilitating users from information overloading by finding recent trends in twitter, several techniques are proposed. However, most of these techniques need to process extensive data. Therefore, in this paper, a geofencing-based recent trends identification technique is proposed, which acquires data based on a geofence. Afterwards, they are cleaned and the weight of these tweet data is calculated. For that, the frequency of tweet texts and hashtags are taken into account along with a boosting factor. Thereafter, they are ranked to recommend recent trends to the user. This proposed technique is applied in developing a system using Java and python. It is compared with other relevant systems, where it demonstrates that the performance of the proposed system is comparable. Over and above, since the proposed system integrates geofencing feature, it is more preferable over other systems.
An Improved Mapping Pattern for Digital Watermarking using Hilbert-Peano Pattern
Authors: Nazmi Nasir Mohamad , Izhar Hisham Syifak , Faizal Ab Razak Mohd
Published: June 2020

In the present, watermark plays an important part in all copyrighted content whether it is physical or digital. The importance of watermark in digital data increases as the usage of internet in transferring data increases day by day as the technologies improves. The main objective of using digital watermark is to apply the highest security as possible to the digital image and in the same time to reduce as most disturbance as possible that can be visible to the human eye. This research proposed a hybrid mapping pattern which is Hilbert-Peano Curve to try to achieve the highest security as possible from alteration. This proposed digital watermark uses the Least Significant Bit (LSB) to store the watermark data, which consist of parity bits as the authentication data and recovery data. This is to reduce the disturbance to the original image as much as possible as it might alter the colour of the original image. The results are compared with the existing watermark, Hilbert-LSB to analyse which pattern is suitable to be implemented with the watermarking scheme. The results of this research shows Hilbert-Peano pattern can contribute better performance in terms of watermark data security, time taken to embed watermark data, and the imperceptibility level if compared to the original Hilbert mapping pattern.
Indoor occupancy estimation using carbon dioxide concentration and neural network with random weights
Authors: Faris Ramli Muhammad , Muniandy Kishendran , Adam Asrul , Ab. Nasir Ahmad Fakhri , Ibrahim Shapiai Mohd
Published: June 2020

This study presents the indoor occupancy estimation using carbon dioxide concentration and neural network with random weights (NNRW). The utilization of carbon dioxide concentration is as an alternative to overcome the limitation of existing techniques, such as dependency to favourable lighting condition and camera position. Whereas, NNRW provides a generalized and fast learning speed classification. In this study, MH-Z19 sensor is used to acquire carbon dioxide concentration and the NNRW is a multiclass estimation method. The numbers of the occupants are divided into three different classes, which are 15 occupants, 30 occupant and 50 occupant classes. Result indicates that the NNRW classifier has obtained training and testing accuracy, about 100 percent and 52 percent, respectively.
Reducing the Throughput Time for Patient Flow in Emergency Department: Simulation and Modelling Overview
Authors: Hamza Nidal , Abdul Majid Mazlina , Al-Bashiri Hael
Published: June 2020

Satisfaction of patient considered as a main issue of quality of service in the healthcare sector. Typically, this satisfaction depends on the services quality provided by hospitals. Emergency Department (ED), as a critical department in the hospital, has a complicated registration system that may lead to increase the patient throughput time. Thus, to minimize this growing in the throughput time, numerous simulation and modelling, in the literature, have been developed and introduced. However, the throughput time in ED still represent in issue need for improvement to increase the ED performance. Therefore, in this paper, the main objective is providing an overview related to the characteristics and significance of current simulation and model techniques. As a result, in the ED realistically, integrating Agent-Based Simulation (ABS), Desecrate Event Simulation (DES), and System Dynamic (SD) techniques has been preferred as the solution to modelling the patient flow in ED and in turn may lead to decrease the throughput time. The proactive and independent characteristics of aforementioned techniques can contribute to the good representation the patients flow and their throughput time in ED.
Student Learning Progress as Predictor for Graduate Employability Performance
Authors: Nor Afiqah Wan Othman Wan , Abdullah Aziman
Published: June 2020

Graduate 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Applying Heuristics Evaluation to Improve the Usability of Malaysia Accounting Training Management System
Authors: Mat Harun Zuraidah binti , Abdullah Azma binti , Gunaratnam Kiriyadhatshini a/p
Published: June 2020

The website is a connection of communication between the organization and their customers. By using web applications customers can obtain information and deal with the organization. The user interface and the interface design of web-based application affect the interest and attention of the customers. The consideration of web navigation, web usability and web accessibility are compulsory to make a website was designed in a user-friendly format. This study aimed to evaluate system based on issues of interface design with focusing on human-computer interaction and user interface design which are error human handling and accessibility. The questionnaire based on questions from the User Interface Usability Evaluation (User Interface Usability Evaluation) was conducted to obtain feedback on the system developed. The findings and results of the questionnaire was used to assess whether the training management system design interface both in terms of handling and ease of access error information (error information handling and accessibility).
A Review of Cloud Computing Implementation in ASEAN Countries
Authors: Zarizi Bin Abdullah Asyran , Isni Sofiah Wan Din Wan , Binti Musa Zalili , Bin Razali Razulaimi
Published: June 2020

Cloud Computing is a technology that allows services of the communication, file transfer, infrastructure and platform usage to the user through the internet. In the era of globalisation, each of the countries raced to growth cloud technology as the main part of their industrial development. Similarly, with ASEAN countries, they start using cloud technology as a core part of the industrial revolution 4.0 (IR 4.0) to increase their economy and raise productivity. ASEAN already started using cloud computing, but some country has slow progress due to several challenges such as the broadband quality, lack of cloud knowledge and security issues. They require some strategies to address this problem in order to prove the ASEAN can be competitive in the use of technology as it can open up better industrial opportunities. This article reviews the published literature on the implementation of cloud computing in ASEAN. The author systematically analysed a total of 37 selected articles. There were 22 of the articles selected through restrictive search criteria while the other 15 were selected based on unrestrictive search criteria. The review shows the cloud implementation, expose the benefit and challenge to grow a cloud computing in general, and focusing the challenge of ASEAN in cloud computing development. This paper concludes with some recommended future works to construct the theory and perform empirical research.
Transforming Malware Behavioural Dataset for Deep Denoising Autoencoders
Authors: Razif Bin Shamsuddin Mohd , Hani Hj Mohd Ali Fakariah , Shahril Bin Zainol Abidin Mohd
Published: June 2020

This research is a part of a major research on automation of malware identification using Deep Denoising Autoencoders. Malicious software, or in short called malware refers to any software designed to cause damage to a single computer, server, or computer network. This malware term includes all kind of malicious software such as computer virus and spyware. All these malicious malware behaviour is monitored, logged and recorded using a cuckoo sandbox with the help of an x86 hosted supervisor software. The intent of recording the malware behaviour is to understand the pattern of behaviour of each known malware family. This collected data will be further trained to a Deep Denoising Autoencoders to automate the identification process of new malware within the identified malware families. However, the raw behaviour data is not suitable for an optimum training process. This paper will discuss the process of transforming the text based behavioural dataset to a more suitable dataset for deep learning purposes. At the end of the research a cleaned bit string format that should represent a unique malware behaviour will be produced.