bluuebunny/crossref_metadata_2025 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 Comparison of Childrenâ€™s Anthropometrics and Motor Performance Relative Body Mass Index using Principle Component Analysis
Authors: Razali Abdullah Mohamad , Ayob Nuruaslizawati , Musliha Mat-Rasid Siti , Juahir Hafizan , Muazu Musa Rabiu , Bisyri Husin Musawi Maliki Ahmad , Azura Kosni Norlaila , Afzan Aziz Intan , Syaiful Nizam Abu Hassan Mohd , Khairi Zawi Mohd , Alias Norzulaika , Azahari Hanisah
Published: April 2019

This study aims to compare dominant factors of anthropometrics and motor component among children relative body mass index. A total 5819 primary school children (3243 boys and 2576 girls) aged 7.30Â±0.28 years old were subdivided into four groups according their Body Mass Index (BMI) namely underweight group (UWG), normal weight group (NWG), overweight group (OWG) and obese group (OBG). The parameters involved in this study are weight, height, standing broad jump (SBJ), sit and reach (SAR), hand wall toss (HWT) and 20 meter run (20MR). Method of Principle Components Analysis (PCA) was employed to ascertain the domain factors parameters for each BMI group. For boys and girls, initial PCA identifies two components with higher Eigen value (> 1). In first component VF1 for boys and girls, PCA after varimax rotation revealed two varifactors that are weight (> 0.90) and height (> 0.80) for all BMI group. Otherwise, second component VF2 for boys and girls revealed high factor loading on low muscular strength, hand-eye coordination and speed. This study indicates there is direct effect between motor proficiency and BMI among preschool population and revealed that primary school children with high body mass may have lower motor proficiency on explosive strength, coordination and speed compared with normal body mass.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
Consumer Attitudes on Domestic Water-Saving Practices in Gombak District, Selangor
Authors: Afgani @ Eusoff Yendo , M. Aminuddin Normadihah , Puad Mat Som Ahmad , Amin Aziz , Abdul Ghani Norizan
Published: April 2019

Consumer attitude needs to be changed to ensure the adequacy of water supply in Malaysia due to serious issues likes rising water demands, pollution, global population growth and climate change. An existing study on domestic water consumption behaviour among Malaysians are not extensively discussed in depth, whereas the constructs of consumer behaviour should be seriously addressed in the effort to create awareness on water conservation. The paper intends to identify the level of attitude of domestic water consumers according to their cognitive, conative and affective constructs. The data was collected from five territorial divisions located in Gombak, Selangor, Malaysia through survey by using structured questionnaires to 400 domestic water users from December 2016 to February 2017. All the data were analyzed using SPSS version 21 to produce descriptive results (frequency, percentage, overall mean and standard deviation score). The findings show that the measurement level of domestic water consumers' attitudes, which were ‘cognitive’, ‘conative’ and ‘affective’, varied according to the determination of mean scores. Generally, the study output shows cognitive constructs are at a high level (4.71) while the conative constructs (3.27) and affective (3.15) are in moderate level. The existence of consumers’ attitudes at higher levels indicate that respondents are more likely to assess the use of water carefully, to reduce the wastage of water and contribute to the reduction of monthly water bill costs among households.
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
The Influence of Business Strategy and Good Corporate Governance on Company’s Performance
Authors: Ait Novatiani R. , Haizam Mohd Saudi Mohd , Wedi Rusmawan Kusumah R. , Fajar Achmad , Yuniarti Rita
Published: April 2019

In general purpose of a company is to look for the highest profit. An increase in profits shows the company’s performance is good, to ensure that the company’s performance is good, it must be supported by a business strategy and good corporate governance. The purpose of this study is to analyze business strategies and good corporate governance, both partially and simultaneously affect the company’s performance. Sampling technique used in this study non probability namely census sampling which is 46 census sampling. Based on the results of the study, it can be concluded that business strategies and good corporate governance both partially and simultaneously influence the company’s performance
Store Atmosphere and Food quality as Determinant Factors in Visiting Traditional Restaurant in Bandung, Indonesia
Authors: Astuti Pratminingsih Sri , Haizam Mohd Saudi Mohd , Surayya Mohd Saudi Nur
Published: April 2019

The purpose of this paper is to investigate the influence of store atmosphere and food quality on the decision to choose traditional restaurants. The methodology used in the study is a quantitative research. The respondent of the study was 300 consumers in traditional restaurants which were chosen using nonprobability sampling method. A set of questionnaires were distributed to consumers of traditional restaurant in Bandung, Indonesia. The data were using regression analysis. From the study results found that store atmosphere and food quality affect the decision to choose a restaurant. The practical implication of this study is that restaurant owners should create a pleasant atmosphere and also provide good quality food in terms of health, freshness and variety of menus.
The Influence of Transformational Leadership and Employee Engagement to Organizational Citizenship Behavior (OCB) and the Effect to Division Effectiveness at PT. X in Indonesia
Authors: S. Marinda Vina , Haizam Mohd Saudi Mohd , Maya Dora Yenny , Surayya Mohd Saudi Nur
Published: April 2019

Division effectiveness can be achieved and grown by a good OCB, which such behavior will grow both through the influence of good employee engagement and transformational leadership. The purposes of this research are to figure out how transformational leadership, employee engagement, OCB, and division effectiveness in PT. X and to figure out how influence of transformational leadership and employee engagement on OCB and their impact on division effectiveness in PT. X either simultaneously or partially. Descriptive research method is used to get an idea of transformational leadership, employee engagement, OCB, and division effectiveness quality. Verificative research method tests truth through collecting data in the field and tests causal hypotheses about influence of two independence variables (transformational leadership and employee engagement), one intervening variable OCB and one dependence variable (division effectiveness) by using path analysis. The paper is shows that transformational leadership and employee engagement has significant influence to OCB and also affect division effectiveness either simultaneous or partial.
Noun as Modifier in Nominal Group: a Functional Grammar Approach
Authors: CM Simatupang Ervina , Dahlia Anum
Published: April 2019

To get comprehensive understanding about the meaning of a nominal group, we need to study the components forming the nominal group structure. The structure of nominal group consists of Head and Modifier. Head is the matter being talked, and it is realized by noun. Modifiers are words which modify the Head, and they are realized by word classes of determiner, numeral, adjective, and noun. Noun as a Head in nominal group is a rule as the theory says nominal group is a group of words with a noun as the headword, but noun as a modifier word deserves researching. The objective of this paper is to know the function and the meanings of noun as modifying component in nominal group structure. To obtain the function and the meanings of it, the theories of Functional Grammar are used, since the theories discuss the structure of nominal group comprehensively. The method used in this research is the qualitative method. The results of this research are noun as modifier has function to classify the Thing into its subclass, then it is labeled as Classifier, and the meanings expressed by classifier are expressing purpose and function, status, scope, mode of operation, and origin.
The Influence of Business Environment and Capabilities on Transient Competitive Advantage and Their implications for Business Performance of Micro, Small and Medium Enterprises in Indonesia
Authors: Hermina Nurul , Mariana Adjeng , Kaniawati Keni
Published: April 2019

Micro, small and medium enterprises (MSME – Indonesian: UMKM – Usaha Micro, Kecil dan Menengah) are the key to increase growth, create employment, act as the source of people’s income, to fulfil the need of goods and services, to increase the added values which eventually influence the economic growth. This research is aimed to explain how business environment and capability influence the competitive advantage which plays an important role that determines the business performance of MSME. The total sample able to be collected with web-based design is 56 MSME/UMKM from all over Indonesia. The analysis technique used is structural equation modeling (SEM). The study proves that business environment does not significantly influence the business performance of MSME/UMKM. However, this variable contributes significant indirect influence with a greater level than its direct influence. The finding indicates that improvement in business environment will be able to boost the business performance if it is combined with the improvement in competitive advantage of the MSME/UMKM.
The Influence of Travel Motivation on Satisfaction and Intention to Visit Terengganu
Authors: Mohammed Hazaea Hasan Tewfik , Puad Mat Som Ahmad , Ismail Fathilah
Published: April 2019

Tourism is considered one of the fundamental industries worldwide, which has the potential to strengthen economic development. In 2017 only, tourist comings to Malaysia generated a national income of RM49.6 billion. This study aims to determine whether tourists are gratified with their visit to Terengganu for tourism and to explore the factors influencing the tourist satisfaction by push and pull travel motivations. The tourists’ perceptions are important since they could be used to determine the degree of their contribution to the development of tourism. The findings indicated that the overall tourist satisfaction with their visit to Terengganu is high, with a mean value of 3.84. The findings also showed that factors influencing the tourists to visit Terengganu are hospitality of the service providers, friendly attitude of the local communities, local culture, and attractive scenery. There is a need for concerted efforts to increase the tourists’ satisfaction since it influences their intention for future visit to the state.
Pilot Study of Instrument to Measure Effect of School Climate, Teachers’ Commitment, Teachers’ Motivation and Teachers’ Job Satisfaction Towards Teachers’ Work Performance
Authors: Lai Eng Fei Evonne , Gregory K Han Crispina
Published: April 2019

The main focus of this article is to discuss the findings of the pilot study of the instrument about "The Effect of School Climate, Teachers’ Commitment, Teachers’ Motivation and Teachers’ Job Satisfaction towards Teachers’ Work Performance", which has been adapted by researchers. The pilot study sample was 137 teachers of secondary school involved in the survey. Factor analysis was conducted using the Statistical Package of Social Science (SPSS) version 21 and the reflective measurement model in the Structural Equation Modeling (PLS-SEM) was also conducted in this study. The validity and reliability of External Load (> 0.6), AVE (> 0.5), Composite Reliability and Cronbach’s alpha are (> 0.7); and the Discrimination Validity based on the Fornell-Larcker Criterion (latent value exceeds the latency correlation) was fulfilled. The validity and reliability shown indicate that the instrument is suitable for the actual study.
A Study of Economic and Ecological Strategies for Sustainable Development in Aceh, Indonesia
Authors: Zulkarnaen Iskandar , Saputra Jumadil , Abdurrahman Fauzi , Suzanna Ella
Published: April 2019

The sustainable development becomes an inevitable paradigm today. It does not only concentrate on economic growth, but also pay attention to other issues on environmental sustainability such as justice, welfare, as well as the maintenance of social and cultural systems. The sustainable development has some indicators and should also proceed with a series of stages namely economic, ecological, political and social culture. Using qualitative data analysis, this study is written to identify whether or not the economic and ecological development in Aceh post-tsunami has met standards of sustainable development. Troubleshooting analysis is performed with statistical studies of a variety of documents compared to some facts and the evolving dynamics in the community that were recorded by media. Based on the central of statistics bureau, Aceh is one of the regions with the highest GDP in Indonesia and there are approximately 6 million hectares of forest and also rich in nature and marine resources. The result of this study shows Acehnese people actually trapped in poverty. It is very ironic because the majority of people are living in the location of natural resources such as forests and coastal areas, as well as natural gas industrial areas. Therefore, the Aceh Government should ensure the welfare of Acehnese people through an optimizing the utilization of the natural resources i.e. forest and coastal and also gas industry.
The Effects of Parameters on the Efficiency of DLLME in Extracting of PAHs from Vegetable Samples
Authors: Tan Yeong Hwang , Chai Mee Kin , Wong Ling Shing
Published: April 2019

An effective analytical method based on microwave-assisted extraction (MAE) and dispersive liquid-liquid microextraction (DLLME) followed by gas chromatography-flame ionization detector (GC-FID) was developed for the determination of polycyclic aromatic hydrocarbons (PAHs) in vegetable samples. In most cases, the details of the parameters influencing the efficiency of DLLME in extraction are not well studied. Understanding the reactions of solvents in extraction is the important task on selecting of an appropriate solvent in the process. The effects of parameters affecting the extraction efficiency of DLLME, including extraction solvent and dispersive solvent, extraction time and MAE, such as solvent, microwave power and irradiation time, were studied and explained. The impacts of physiochemical properties of the selected extraction solvents on the extraction efficiency were also investigated. The results indicated that extraction solvents with low viscosity and low polarity have better extraction efficiency in extraction of PAHs from vegetable sample. No significant difference was observed for the effects of selected dispersive solvents and extraction time on extraction efficiency. In MAE, the types of solvent, microwave power and irradiation time implied some critical effects on the extraction efficiency of DLLME.
A Review on Characterization of Sediments for Green Bricks Production
Authors: Ean L. W. , Malek M. A. , Mohammed Bashar S. , Tang Chao-Wei , Bong P. X. H.
Published: April 2019

Accumulation of dredged sediment has raised environmental concern in various countries. Recycling of sediment into bricks is a viable solution to the environmental pollution. Concerning to the utilization of sediment in bricks, this study reviews the needs of characterization on sediment and methods of producing sediment bricks. Particle size distribution was found to be the key criteria for characterization of sediment. Sizes of particles determined the function of the sediments in the bricks. In spite of that, leachability of heavy metals is another important aspect for contaminated sediment. Cementing bricks used cementing materials as the stabilization agent to the heavy metals. It is necessary to conduct leaching test for the end-product of the sediment to ensure the heavy metals leached are within the regulatory limits. In conclusion, method of producing sediment bricks may vary due to the various characteristics of sediment for a promising environmental friendly production.
Loss Factor of Elastomeric Dampers for Rotating Machinery Application
Authors: Asokan Darvind , Hussain Jawaid I. Inayat
Published: April 2019

Elastomeric dampers have potential application in rotating machinery vibration control. They are however not widely used due to lack of reliable data on their loss factor. Most available data on these dampers are obtained from testing undertaken during stationary condition of the shaft. When the shaft rotates, the dampers are subjected to rotating load that may affect their loss factor. The effect of shaft rotation on the loss factor is experimentally examined in this work. Impact test was used to determine the frequency response function (FRF) of the dampers. For the dampers subjected to rotating load, the loss factor values derived from the FRF was found to be in good agreement with those determined from the half-power bandwidth method. The results further showed that the loss factor at resonant frequency determined from testing of the dampers under stationary shaft condition underestimates the values of the loss factor when the shaft is rotating. The effect of shaft rotation on the values of the damper’s loss factor was more noticeable for the response in the X-direction as opposed to the Y-direction, indicating that pre-strain plays a more dominant role in influencing the loss factor of the dampers compared to the dynamic amplitude.
Geomarketing using Remote Sensing: a Study on Marketing and Planning Development Strategy at Northern Riyadh
Authors: Sallman Zouheir , Usman Fathoni
Published: April 2019

Determination of market size is a critical factor for the success of any company or business activity. This paper presents a study to provide a clear vision using remote sensing for Geomarketing and industry purposes. In order to estimate market size in the study area based on spatial data, Satellite images, Spot 6, with a 1.5 m resolution, will be used with two different dates during the year 2016. It is used to determine the growth in the housing sector with building types and construction levels in the micro-geographic area of Northern Riyadh. It is also used to identify the expected need for products of each district and the approximate time required for installation. By using remote sensing data for Geomarketing, strategies for marketing, planning and housing development could be setup.
Term Weighting Vs. Logistic Regression Performance on E-Commerce Data
Authors: Salehi Sajjad , Ghasdimanghootai Maryam
Published: April 2019

Text categorization can become a very difficult problem to solve in many cases. However many text categorization algorithms have been developed in the history of computer science, they are not always as accurate as we expect. Some of them are highly accurate in special cases while others perform well in different cases. In this work, we are comparing two famous methods in text categorization; the first one is the well-known term weighting algorithm and the second one is the logistic regression algorithm. All the dataset is got from our previous start-up named â€œUme Market Networkâ€ which was an online peer-to-peer e-commerce system, and was synchronized with Facebook sales groups. Every offer in this dataset should be categorized as a sale/purchase offer; therefore, the problem is a classical binary categorization on a text dataset of formal as well as colloquial expressions in English, Italian, and German languages. After overcoming all the ambiguities the logistic regression algorithm outperformed the term weighting algorithm by around 25% in acuracy.
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.
Flow and Heat Dissipation Analysis in Transformer Substation with Minimal Ventilation using CFD
Authors: Bahri Farid Akmal Saipul , Hasini Hasril
Published: April 2019

This paper aims to investigate the flow and heat dissipation of a transformer located in substation building with minimal ventilation system. The study is carried out using CFD, which model the flow and conjugate heat transfer in step-up transformer and its surrounding air. Transformer model is generated by considering the extended fins at both side which enhance heat dissipation. Three different substation ventilation designs are proposed in this work. The effect of air outlet positions with fixed inlets are investigated. The primary objective is to investigate transformer surface and surrounding temperatures for different ventilation systems. The result indicated that minimum natural ventilation of a transformer substation is achievable to avoid transformer overheating. This must be achieved by carefully selecting suitable air inlets and outlets positions in a transformer substation.
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.
Measurements of Mobile Signal Received Power Level at Ringlet, Cameron Highland, Malaysia
Authors: Suliman S.H. , Hashim W. , Ismail A.F. , Zakariya M.A. , Yahya A.S. , Sauti M.S.
Published: April 2019

Tenaga Nasional, the electric utility company in Peninsular Malaysia have been installing electronic meters that can establish wireless connectivity over the mobile phone network since 2005. Several locations including Ringlet, Cameron Highland have been pointed out as having difficulties in establishing a stable connection to the national main server. Empirical investigations had been carried out to determine the availability of service coverage and the associated signal received power levels at the said location. The findings are reported in this article. The outcomes from the measurement campaign were used to deduce the likely solution that is capable of establishing a more reliable link. Field trials involving installations of high-gain antennas and signal boosters as potential solutions were also carried out at selected sites within the district. It is the objective of the study to develop a total solution that can ultimately address the communication issue.
Dynamic Response of Self-Supported Power Transmission Tower Subjected to Wind Action
Authors: Hamzah Nur Hamizah , Usman Fathoni , Mat Yatim Mohd Yazee
Published: April 2019

A power transmission tower carries electrical transmission conductor at adequate distance from the ground. It must withstand all nature’s forces besides its self-weight. In structural analysis, natural frequency, mode shape and damping ratio are used to define the structural dynamic properties which relate to the basic structural features. This paper described the dynamic analysis including the modal and the time history analysis on each segment of the self-supported transmission tower to understand its dynamic responses subjected to wind action. The factors such as different height above ground, a different value of wind speed and different wind angle of attack were included in this study to see the influence of those factors towards dynamic response of the structure. The contribution of the wind towards the displacement of the structure is determined in this study by comparing the result obtained in a linear static analysis which considered the load combination without and with the presence of wind action. It was found that displacement using dynamic analysis is bigger than static linear analysis. The result illustrates that the studied factors gave a significant effect on the dynamic response of the structure and the findings indicate that dynamic analysis is vital in structural design.
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).
Air Conditioning for Smart Home Energy Management System
Authors: Ashraf A. , Faisal M. , Parvin K. , Ker Pin Jern , Hannan M. A.
Published: April 2019

Smart load management system with an advanced metering infrastructure operates to monitor the electricity consumption by the load and transferring data to the utility grid. It has direct benefit to the end-users by managing the load. This system has incorporated with home appliance for achieving the goal of home energy management system (HEMS) such as efficient energy utilization of house by avoiding the wastage. Efficient loading system can strengthen the efficient power utilization and thus can save the economy greatly. Air conditioner (AC), thermostat associated with a room were selected for this purpose as they have the high demand of electricity consumption. This study mainly focuses on developing the mathematical model and simulate it for the considered home appliances to assess the trend of electricity consumption. Research proved that, considering the ambient temperature developed model can provide the specific instructions for automatic controlling of the appliances which will save the electricity consumption and utility bill of end-users compare to the manual operation of the system. Matlab /Simulink software was used to implement and justify the model.
A Short Review of Material Combination in Bilayer Electrolyte of IT-SOFC.
Authors: Mat Zuraida Awang , Kar Yap Boon , Yong Tan Chou , Abu Hassan Saiful Hasmady
Published: April 2019

The technology of solid oxide fuel cell (SOFC) is attractive as it is considered as one of promising clean energy due to its efficiency and clean production of electricity. However, high operating temperature of SOFC are main issue in range of applications such as in transportation and portable equipment. One of many goals of SOFC is to lower the operating temperature. Bi-layer electrolyte has become one of the solution in order to reduce the high operating temperature. This review article provides the preliminary information of bi-layer electrolyte in order to achieve high performance at intermediate temperature.
The Role of Organizational Factors to the Effectiveness of ISMS Implementation in Malaysian Public Sector
Authors: Ibrahim Noralinawati , Ali Norâ€™ashikin
Published: April 2019

Many organizations have initiated efforts to manage the security of their information by implementing an Information Security Management System (ISMS). ISMS is a set of guiding principles for managing organizationâ€™s confidential information and minimizing risk for business continuity. However, information security remains a major challenge and the effectiveness of ISMS is often argued due to the exposure of organizations to information security threats, incidents, risks, and vulnerabilities. One of the reasons is the unsuccessful ISMS current practices amongst all employees and lack of ISMS awareness in organizations. Several critical success factors are identified from previous studies that lead to the ISMS success. Among the success factors are human, organizational and technical factors. This study explores the factors that contribute to the success of ISMS and identify the organizational factors that relate to the information security effectiveness. The conceptual model is developed and will be tested within the Malaysian Public Sectors (MPS) organizations to provide a preliminary insight, understanding, and clarification of the organizational factors, together with the significant effects on ISMS effectiveness. This study used a quantitative approach and data collected from personnelâ€™s that were directly involved with the ISMS implementation through a questionnaire survey.
Probable Maximum Precipitation Comparison using Hershfield’s Statistical Method and Hydro-Meteorological Method for Sungai Perak Hydroelectric Scheme
Authors: J Razali , L.M Sidek , M.A Rashid , A Hussein , Marufuzzaman M.
Published: April 2019

One of the potential risks attributed to the occurrence of dam overtopping and dam wall failure due to the inadequacy of the spillway capacities is the loss of life and property damages in the downstream area. The current practices in most countries in minimizing these risks are by analyzing the extreme precipitation that leads to extreme flood. Extreme precipitation is best known as Probable Maximum Precipitation (PMP) and this estimation is useful in determining Probable Maximum Flood (PMF) in reviewing the spillway adequacy of dam structures. This paper presented PMP estimations using two approaches; physical method (Hydro-meteorological Method) and statistical approach (Hershfield’s Method) at the Sungai Perak Hydroelectric Scheme that consists of four cascading dams namely Temengor dam, Bersia dam, Kenering dam and Chenderoh dam. The highest PMP estimates from these two methods will be chosen as the rainfall input to establish PMF hydrographs. Estimations using Hydro-meteorological generalized map produces 40-50% higher estimates compared to Hersfield’s method with the PMP values of 550mm (1hours), 600mm (3hours), 800mm (6hours), 820mm (12hours), 1300mm (24hour) and 1600mm (72 hours). Accepting the Hydro-meteorological Method to determine PMF values for this hydroelectric scheme may be the best course since the estimations of the extreme precipitations using this method are the highest.
Numerical Study of Flow Characteristics Around Confined Cylinder using OpenFOAM
Authors: Mathupriya P. , Chan L. , Hasini H. , Ooi A.
Published: April 2019

The numerical study of the flow over a two-dimensional cylinder which is symmetrically confined in a plane channel is presented to study the characteristics of vortex shedding. The numerical model has been established using direct numerical simulation (DNS) based on the open source computational fluid dynamics (CFD) code named OpenFOAM. In the present study, the flow fields have been computed at blockage ratio, β of 0.5 and at Reynolds number, Re of 200 and 300. Two-dimensional simulations investigated on the effects of Reynolds number based on the vortex formation and shedding frequency. It was observed that the presence of two distinct shedding frequencies appear at higher Reynolds number due to the confinement effects where there is strong interactions between boundary layer, shear layer and the wake of the cylinder. The range of simulations conducted here has shown to produce results consistent with that available in the open literature. Therefore, OpenFOAM is found to be able to accurately capture the complex physics of the flow.
An Experimental Analysis on the Moment Rotation of Beam-Column Connection using Cold-form Steel Section
Authors: Nadya Rahima Ummi Kulsum , Usman Fathoni
Published: April 2019

A beam-column connection of cold-formed steel section was arranged as an isolated joint. An experimental testing has been done on the model specimen until the model reached its failure mode. The behaviour of the cold-formed bolted connection in the matter of its strength and stiffness of the steel connection was studied. In this study, gusset-plate and bolted angle flange cleat connection were used in which it can stiffen the cold-formed beam-column connection. Moment-rotation curves were generated from the test results to represent the behaviour of the bolted connections. The design expression of the beam-column connection is following the design standard of Eurocode 3 BS EN 1993-1-8. The set-up of the experimental analysis, the procedure and the failure mode results are discussed in details. The moment capacity of 5.9 kN.m has been recorded for the beam section and 7.3 kN.m for the column section. The stiffness (Sj) was recorded as 120.94 kN.m/rad for the beam section and 182.42 kN.m/rad for the column section.
Support Vector Machine and Neural Network based Model for Monthly Stream Flow Forecasting
Authors: Zaini Nuratiah , Abdul Malek Marlinda , Yusoff Marina , Che Osmi Siti Fatimah , Hani Mardi Nurul , Norhisham Shuhairy
Published: April 2019

Accurate forecasting of streamflow is desired in many water resources planning and management, flood prevention and design development. In this study, the accuracy of two hybrid model, support vector machine - particle swarm optimization (SVM-PSO) and bat algorithm â€“ backpropagation neural network (BA-BPNN) for monthly streamflow forecasting at Kuantan River located in Peninsular Malaysia are investigated and compared to regular SVM and BPNN model. Heuristic optimization namely PSO and BA are introduced to find the optimum SVM and BPNN parameters. The input parameters to the forecasting models are antecedent streamflow, historical rainfall and meteorological parameters namely evaporation, temperature, relative humidity and mean wind speed. Two performance evaluation measure, root mean square error (RMSE) and coefficient of determination (R2) were employed to evaluate the performance of developed forecasting model. It is found that, RMSE and R2 for hybrid SVM-PSO are 24.8267 m3/s and 0.9651 respectively while general SVM model yields RMSE of 27.5086 m3/s and 0.9305 of R2 for testing phase. Besides that, hybrid BA-BPNN produces RMSE, 17.7579 m3/s and R2, 0.7740 while BPNN model produces lower RMSE and R2 of 28.1396 m3/s and 0.5015 respectively. Therefore, the results indicate that hybrid model, SVM-PSO and Bat-BPNN yield better performance as compared to general SVM and BPNN, respectively in streamflow forecasting.