bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing a Conceptual Framework for Innovative Behaviour in Healthcare Organization
Authors: Iziana Ghazali Lina , Amin Aziz 
Published: April 2019

In recent years, healthcare face challenges to be more responsive to the increased demands of public for better quality of care. In order to ensure public received with good healthcare services, the most important employees are nursing professionals who are responsible to emphasise on delivering quality and efficient. Based on literature, innovation can become a good solution to increase patient care quality. Healthcare depend on their nurses to continuous innovate their ways of working that actually improve nursing practice. Previous study found that leadership is important antecedent of innovative behaviour. This study is an attempt to examine transformational leadership on innovative behaviour among nurses. The structural equation modelling has been proposed and will be used to test the impact of transformational leadership towards innovative behaviour.Â Â Â Â
Sustainable Tourism: The Moderating Effect of Touristsâ€™ Educational Background in the Relationship Between Green Practices and Customer Satisfaction
Authors: Awang Zainudin , Yusnita Y. , Afthanorhan Asyraf 
Published: April 2019

The tourism industry is one of the largest and fastest growing economic sectors in the world and has contributed to world economic growth. Since the tourism industry is among those directly related to the environment, green tourism has an important role in the environment management system, especially practices that have the ability to reduce negative impacts onto the environment. Green initiatives are considered part of the programs adopted in many parts of the tourism sector. This article examines the influence of green practices and a green image towards customer satisfaction and customer loyalty. To test the theoretical framework, some 385 data were analysed using Structural Equation Modeling (SEM). Results revealed that green practices have stronger effects on customer satisfaction compared to a green image. The moderation test indicated that touristsâ€™ educational background moderates the relationship between green practices and customer satisfaction, where the effect among tourists with a high education level is higher compared to those with a low education level. Further analysis showed that green practices and a green image lead to customer loyalty indirectly through customer satisfaction. The results present many implications towards theory and practice as far as the tourism industry is concerned.Â Â
Flexible Approach Path (FAP) for Effective Learning Process in Self Exploration Education System (SEES)
Authors: Fazil Ahmad Muhamad , . . 
Published: April 2019

The purpose of this study is to develop a Flexible Approach Path (FAP) for effective Self Exploration Education System (SEES) practice for adult learning. In practice, SEES still acutely focuses on transmitting facts instead of encouraging personal exploration. A major barrier to the uptake and integration of new technologies in teaching and learning is the lack of personal experience of online learning on the part of those involved in learning and in the preparation of materials and methods to support the learning. This project addresses by introducing a FAP to support oneâ€™s own learning, within a semi-formal community structure using 45 = 40 end-users. This project focuses on the FAP that includes six dimensions (Invention, Recommendation, Explanation, Demonstration, Understanding, and Recall) which can impact: time; the content of the course; entry requirements; instructional approaches and resources; delivery and logistics - each with several aspects. It is applicable to all learning-development situations without being merely restricted to self-instruction or Distance Learning. For the persons who are not familiar with the Flexible Approach, e.g., those who are familiar with face-to-face/fieldwork approach, they may wonder why and when the Flexible Approach is applicable. The Flexible Approach is applicable in a case where a learner who can conduct learning on his/her over for certain subjects, thus decreasing the demand for an instructor. A missed learning session does not have to be replaced because the material is already there. They help a trainee who takes a little longer than the other learners to comprehend certain concepts/materials. In addition, it is suitable to be applied in situations when the time is a constraint to limit face to face interaction. In all the above scenarios, the Flexible Approach to learning and development can be used as a very realistic alternative.Â Â
Spatial Variation and Possible Sources Assessment at Federal Territory of Kuala Lumpur Water Treatment Plan Using Chemometric Technique
Authors: M. Zolkipli H. , Juahir H. , Adiana G. , Zainuddin N. , B.H.M. Maliki A. , Z. Mohamed S. , N.W. A. Halim W. , F. Saâ€™adon N. , S. Mohamed N. , A.A. Hashim N. 
Published: April 2019

This study aims to identify the possible sources in drinking water parameters heavy metal and organic parameters (HMOPs) and spatial variation between untreated water and treated water at Federal Territory of Kuala Lumpur water treatment plant. The indicator HMOPs in drinking water in Kuala Lumpur were selected as parameters to discriminate the possible source of water treatment plants (WTPs) pollutant. Chemometric technique such as principal component analysis (PCA) and discriminant analysis (DA) was identified based on the five yearsâ€™ availability data starting from 2012 to 2016. PCA were used to identify the most significant parameters which are highlighted eleven strong factors loading of parameter respectively out of sixteen for PCs and classified as possible sources in WTPs. Continue with DA analysis that is successful distinguish two categories region in WTP using the forward stepwise and backward stepwise with significant amount is 98.46%. From this study, we can conclude that this chemometric is the best technique of analysis to get a lot of information such as identify possible sources of pollutant and discriminant of two station sampling categories that will give novelty to Malaysian Ministry of Health (MOH) and collaboration agency in National Drinking Water Quality Surveillances Program (NDWQSP).Â Â Â
The Development of Athlete Performance Capabilities Index (APCI) Model for Male U12 Player Selection using Multivariate Analysis
Authors: Razali Abdullah Mohamad , Juahir Hafizan , Mohamad Shukri N. , A. Fuat N. , A. Mohd Ros N. , N. Shukri F. , S. Abd Halim N. , Musliha Mat-Rasid Siti , Muazu Musa Rabiu , Bisyri Husin Musawi Maliki Ahmad , Azura Kosni Norlaila , Syaiful Nizam Abu Hassan Mohd , Khairi Zawi Mohd , Eswaramoorthi Vijayamurugan 
Published: April 2019

This study develops an Athlete Performance Capabilities Index (APCI) model using multivariate analysis for selecting the best player of under twelve (U12).Â Measurement of anthropometrics and physical fitness were evaluated among 178 male players aged 12Â±0.52 years. Factor score derived by Principal Component Analysis were used to obtain a model for APCI and Discriminant Analysis (DA) were conducted to validate the correctness of group classification by APCI. Result was found two factors with eigenvalues greater than 1 were extracted which accounted for 62.00% of the variations present in the original variables. The two factors were used to obtain the factor score coefficients explained by 35.72% and 26.67% of the variations in athlete performance respectively. Factor 1 revealed high factor loading on fitness compared to Factor 2 as it was significantly related to anthropometrics. A model was obtained using standardized coefficient of factor 1. Three clusters of performance were shaped in view by categorizing APCI â‰¥ 75%, 25% â‰¤ APCI < 75% and APCI < 25% as high, moderate and low performance group respectively. Three discriminated variables out of thirteen variables were obtained using Forward and Backward stepwise mode of DA, which were weight, standing broad jump, and 40 metersâ€™ speed. Such variables were established as essential indicator for selecting the best player among male U12.Â Â Â
Influence of Tax, Unemployment and Political Instability to Indonesia Government Expenditures 1988-2016 Period
Authors: . Sugiartiningsih , Juny Hesty , Oki Ignatius , Apriliana Tria , Ali Muhammad 
Published: April 2019

This study aims to determine the effect of taxes, unemployment and political instability on Indonesian government spending. The research method used in this study is descriptive analysis method because it is to find out the third causal relationship of independent variables on Indonesian government expenditure. The model is built multiple regression with secondary data boundaries from 1988 to 2016. Based on the results of calculations, the results of a positive relationship between tax and political instability of Indonesian government expenditure are obtained. While, unemployment has a negative relationship to Indonesian government spending. The main factor is the condition of Indonesian unemployment is high, starting from junior high school, vocational high school and even university level. While the government is trying to overcome it, it has not been optimally because of the obstacles in the village and in the city. On the contrary, tax and strong political instability after the reform of Indonesian government spending.Â Â
Determinants of Cumulative GPA of First Year Widyatama University Students
Authors: Nursjanti Farida , Taruna Indra , . Shinta 
Published: April 2019

As a private college-oriented quality, Widyatama University has some quality commitments including receiving potential prospective students and giving priority to customer satisfaction. However, the university only uses entrance exam score, does not use previous academic performance such as national exam score to select potential prospective students. The aims of this research were to examine and to evaluate the factors which affect studentsâ€™ First Year Cumulative GPA (FYCGPA) in Widyatama University. This research also investigated the determinants of studentsâ€™ FYCGPA by the factors to explain variances in FYCGPA. This research used gender, major in high school, national exam score and entrance exam score as independent variables. Stepwise multiple regression analysis was carried out in this study. The result indicated that gender, entrance exam score, and major in high school have significant effect to FYCGPA. The model used in this study showed that 24.6% of the variances in FYCGPA can be explained by gender, entrance exam score, and major in high school. This results show that Widyatama University should consider more factors in selecting potential prospective students and providing services to first year students.Â Â
A Review of Structural Equation Model for Construction Delay Study
Authors: Ramli Mohd Zakwan , Malek Marlinda Abdul , Muda Mohamad Zaki , Talib Zulkhairi Abd , Azman Nor Syahirah , Fuâ€™ad Nur Farah Syazana Mohamad , Zawawi Mohd Hafiz , Katman Herda Yati 
Published: April 2019

Structural Equation Modelling (SEM) has been widely used in science social area compared to construction engineering and management field especially in area of delay construction. SEM is a second generation multivariate analysis that has an advance features compare to first generations of analysis tools. First generation techniques suffer with some assumptions such as error measurement is neglected, only observed variable allowed, only for simple model and other limitations. In construction delay study, comprehensive and complex analysis which involves hidden variables need to be considered to get precise results. Therefore, the main objective of this paper is to review the importance of applying SEM for construction delay study. Various papers which were taken from construction delay and construction management studies has been reviewed to observe the suitability of SEM for construction delay study. Outcome of this review reveals that SEM can include latent variable in the analysis model and consider of error measurement as integral part of the model as well as simultaneously analyse theory and measurement in a structural model while it is unobtainable for first generation techniques.Â This review proves that SEM can be an appropriate analysis tool for construction delay study.
A Systematic Review of Enterprise Architecture Adoption Models
Authors: Ahmad Nor Azizah , Drus Sulfeeza Mohd. , Abu Bakar Nur Azaliah , Othman Mohd Muneer 
Published: April 2019

This article provides a systematic review of the Enterprise Architecture (EA) adoption model. Firstly, an analysis of the literature discussing the current EA adoption models was undertaken. The EA adoption models were reviewed to identify which adoption phase can be connected.Â This paper also discusses the limitations of the models. Based on the inclusion and exclusion criteria defined in the review process, 13 articles were reviewed.Â There are 13 different EA adoption models across the number of adoption phases which were selected from 13 articles. A total of 11 adoption models were designed for the post-adoption phase and applicable for the EA implementation phase and two (2) adoption models were formulated for adoption phase. This SLR reflected that there was relatively little research conducted in the adoption phase. Previous scholars had adopted one or a combination of different underpinning theories in their studies to identify the existing approach and perspective formulating EA adoption model. The finding also revealed the limitation of previous studies such as generalizability and fragmented perspective. Therefore, this review will provide further investigation into the potential development of EA adoption model at an early stage that could provide wide-ranging and rational views of business, information, and technology for the organisation.
Charging and Discharging Control of Li-Ion Battery Energy Management for Electric Vehicle Application
Authors: Verasamy M. , Faisal M. , Ker Pin Jern , Hannan M A 
Published: April 2019

Electric vehicle (EV) is now replacing the conventional fuel driven vehicle as it has strong contribution to face the challenges of global warming issues. This system has the energy storage device which can be introduced by lithium-ion (li-ion) battery banks. Lithium-ion is mostly popular because of its high capacity and efficiency. Nevertheless, li-ion battery needs protective mechanism to control overcharged or undercharged of the cell that can reduce the life expectancy and efficiency.Â Hence, a control model needs to develop to enhance the protection of battery. Therefore, the key issue of the research is to investigate the performance of Li-ion battery energy management system (BMS) for electrical vehicle applications by monitoring and balancing the cell voltage level of battery banks using Simulink software. A bidirectional flyback DC-DC converter is investigated in the BMS model to control the undercharging or overcharging of cells. An intelligent charge control algorithm is used for this purpose. Backtracking search optimization algorithm (BSA) is implemented to optimize the parameters for generating regulated PWM signal. Obtained results were observed within the safety operating range of Li-ion battery (3.73 V â€“ 3.87V).
Flood Frequency Analysis at the Downstream of Sg. Perak River Basin using Annual Maximum Flow Discharge Data
Authors: Snu Munir , L.M Sidek , Sh Haron , Ns.M Noh , H Basri , Marufuzzaman M. , Z.M Hafiz , Az.A Razad 
Published: April 2019

The recent flood event occurred in 2014 had caused disaster in Perak and Sungai Perak is the main river of Perak which is a major natural drainage system within the state. The aim of this paper is to determine the expected discharge to return period downstream for Sg. Perak River Basin in Perak by using annual maximum flow data. Flood frequency analysis is a technique to assume the flow values corresponding to specific return periods or probabilities along the river at a different site. The method involves the observed annual maximum flow discharge data to calculate statistical information such as standard deviations, mean, sum, skewness and recurrence intervals. The flood frequency analysis for Sg. Perak River Basin was used Log Pearson Type-III probability distribution method. The annual maximum peak flow series data varying over period 1961 to 2016. The probability distribution function was applied to return periods (T) where T values are 2years, 5years, 10years, 25years, 50years, and 100years generally used in flood forecasting. Flood frequency curves are plotted after the choosing the best fits probability distribution for annual peak maximum data. The results for flood frequency analysis shows that Sg. Perak at Jambatan Iskandar much higher inflow dischargeÂ which is 3714.45m3/s at the 100years return period compare to Sg. Plus at Kg Lintang and Sg. Kinta at Weir G. With this, the 100years peak flow at Sg Perak river mouth is estimated to be in the range of 4,000 m3/s. Overall, the analysis relates the expected flow discharge to return period for all tributaries of Sg. Perak River Basin.
Determination of Segari Rock Slope Excavation Technique using Geological Strength Index (GSI)
Authors: Roslan R , Omar RC , Baharuddin I.N.Z. , Taha Hairin , Fared M.M. , Hashim W.N.S.W. 
Published: April 2019

Segari - Ayer Tawar rock materials were generally characterized as slightly weathered (Grade II) to moderately weathered (Grade III).Â Laboratory tests such as Brazilian tensile strength and point load strength index including direct shear strength were carried out using collected weathering sample from borehole to assess the rock strength. Hence, index testing was used to predict geological strength index, rock failure criterion from Hoek-Brown and deformation modulus mainly for the classification of rock mass engineering properties.Â The relationship between the uniaxial compressive strength and geological strength index of rocks were used in proposing suitable methods for cutting the rock slope.
Structure Selection Technique of Multi-Processor Computing Systems
Authors: Kovalenko S.M. , Petushkov G.V. , Platonova O.V. 
Published: April 2019

This paper discusses construction of modern microprocessor structures and computing modules, including microprocessors and RAM, as well as computing systems containing computing modules combined by network means. Also, the "overhead" expenditure of time used for data transmission in the considered subsystems is analyzed. Estimates of the time spent on calculations and data exchange in multiprocessor computing systems (VS) are considered. An expression is derived for estimating the optimal number of computational modules in an aircraft that provides the minimum program execution time. Implementation of an aircraft with the structure recommended in the work, allows us to increase the overall performance of the system when performing the tasks that require intensive data exchange between individual computing modules. The results of research are expected to be used in the design and development of high-performance aircraft structures.
PLIE- A Light-weight Image Encryption for data Privacy in mobile cloud storage
Authors: Sankari M. , Ranjana P. 
Published: April 2019

Data privacy is the greatest challenge of mobile cloud computing to secure the image data. Traditional encryption techniques are mainly suitable for text data than image data. In this paper, we introduce a method called Privacy-preserving light weight Image Encryption (PLIE) to protect the image data in mobile cloud, maintains the userâ€™s privacy by keeping metadata in mobile. It improves the throughput, speed-up the encryption time in mobile and minimize the complexity. Basically,three processes handled on image data such as split, distribute and scramble (SDS) in mobile for maintaining the userâ€™s privacy and store it in cloud. For our analysis of gathering images, the encryption time of the PLIE method implemented in python language resulted as approximately 50% reduced than AES. We measured the performance analysis of existing method(AES) with the proposed method(PLIE) by various parameters. In addition,we present some security attacks to evaluate the level of security.Â Â
Development and Design Of 8x1 Micro Strip Antenna Array for Military/Satellite Communication
Authors: Mary Joy Kinol A. , Sahaya Anselin nisha A. 
Published: April 2019

Antenna design has become as established field of research in recent years. The most important feature of MPA is low cost, low profile and single layer configuration. The frequency band at which the patch antenna operates is 12-1GHz and antenna array are fielded by Microstrip field line incorporated with 50 Ω impedance. In order to achieve enhancement in gain, directivity, bandwidth and return loss Quarter wave transformer and power divider are used. Microstrip patch antenna, employed with highly reflective properties is presented with the results of modeling, design and simulation. To illustrate this techniques a KU band 2×1, 4×1, 8×1antenna array integrated with series corporate feeding network are designed and simulated. The maximum gain of14.56dB at 10 GHz, the impedance beam width is 86.72% and 99% efficiency is arrived using this technique. Maximum radiation pattern is achieved by using low dielectric substrate of RT-DURROID. The design is verified using HFSS software, used to simulate the antenna array.
Dysgraphi Coach: Mobile Application for Dysgraphia Children in Malaysia
Authors: Mohd Ariffin Mazeyanti , Zarith Nabilah Tengku Othman Tengku , Shakirah Aziz Nor , Mehat Mazlina , Izza Arshad Noreen 
Published: April 2019

Learning Disability (LD) or Learning Disorders refers to the difficulties of obtaining, processing and storing information in their memory. There are several categories of LD including Dyslexia, Autism and Dysgrahia. The term Dysgrahia refers to learning difficulties which associates to writing skills. Commonly, Dysgrahia occurs to schoolchildren. Researchers proposed that Dysgraphia children could be assisted by using supportive learning tools, however the study on learning tools particularly in mobile application for Dysgrahia is still scarce. Thus, the objective of this paper is to report on the development of a mobile application called DysgraphiCoach as well as its usability testing results. The DysgraphiCoach was constructed by using Evolutionary prototyping approach. In future, DysgraphiCoach will be evaluated in terms of its effectiveness in improving writing skills among the Dysgrahia children.Â Â
SMART2L: Smart Water Level and Leakage Detection
Authors: Hafiz Kadar Haikal , Syarmila Sameon Sera , Ezanee Rusli Mohd. 
Published: April 2019

The Internet of Things (IoT) technology can assist in the effective conservation of resources and energy management. With IoT, managing water level and detecting leakage within water pipeline distribution system can be automated. This is the golden opportunity as the field of water management and distribution progress with the advancement of IoT. Water shortage has been part of the crucial complications that encountered by many municipalities around the globe and surplus during transmission has been acknowledged as the main problem. Thus, the key idea for this project is to design a real-time low cost wireless system called as SMART2L to prevent Non-Revenue Water (NRW) commonly known as unbilled water wastage. SMART2L integrates with Internet of Things (IoT) that will make a change to the way of people live and manage their water resources smartly.Â Â