Transformational leadership style and job satisfaction relationship: A study of Structural Equation Modeling (SEM)

The objective of the study was to empirically investigate the relationships between transformational leadership style proxied by charismatic or inspirational motivation, intellectual stimulation, and individualized consideration with job satisfaction.100 respondents from an academic institution in Malaysia had voluntarily participated in the study.The data was analyzed by means of confirmatory factor analysis (CFA) using SPSS Amos software.The revised structural equation modeling (SEM) for relationship between transformational leadership style and job satisfaction passed goodness-of-fit (GOF) tests with near perfect results for absolute and incremental fit measures(chi square to degree of freedom 1.004; p-value 0.469; RMSEA0.006; and comparative fit index (CFI) 1.000).However, only two out of the three dimensions of leadership were having significant relationships with job satisfaction.Positive relationship existed between intellectual stimulation and job satisfaction, while individual consideration was negatively related.The result also revealed that leadership was an insignificant mediator in the relationships between charismatic, intellectual stimulation and individualized consideration with job satisfaction

Comparison of the frying performance of refined, bleached and deodorized palm olein and coconut oil

The frying performance of refined, bleached and deodorized palm olein (RBDPO) and refined, bleached and deodorized coconut oil (RBDCO) was compared in this study. The oils were studied during intermittent frying of potato chips at 180C for 5 h/day for 5 consecutive days. The indices used for assessment of frying performance of the oils were fatty acid composition (FAC), peroxide value (PV), anisidine value (AnV), % free fatty acid (FFA), iodine value (IV), % polar component, polymer content, color, viscosity, smoke point and foaming tendency. The results showed that RBDPO was superior to RBDCO in frying performance in terms of % FFA, iodine value, foaming tendency and smoke point. However, RBDCO performed better than RBDPO with respect to % polar component, polymer content, resistance to oxidation, color and viscosity. Flavor evaluation showed that potato chips fried in RBDPO were preferred by the panelists

Designing Problem Based Learning (PBL) Problem Scenario for Statistic Using Linear and Non-linear Multimedia Presentation

Problem Based Learning (PBL) is an instructional method that is known to offer students with knowledge suitable for problem solving. In order to test this assertion the process of problem based learning is described and measured against three principle of learning: activation of prior knowledge, elaboration and encoding specificity. Using PBL method, students’ understanding with regards to the problem scenario is very significant process. One of the main defining characteristic of PBL, which distinguishes it from some other method, is that the problem is presented to the students first at the start learning process. Traditionally, problem scenario is presented in a printed text, which is not tempting for student to understand the motive behind it. Information and Communication Technology (ICT) on the other hand has widely accepted in many areas which include education as well. By applying multimedia presentation as a discipline in ICT, it is believed that it could helps in designing the effective problem scenario. The purpose of this study is to design and test the effectiveness of PBL problem scenario for subject Statistic using linear and non-linear multimedia presentation. Linear presentation is known as no navigation control is involved through that process while nonlinear presentation uses user interactivity to control the presentation. This paper discusses the early storyboard design and the icons that used

DEVELOPMENT OF RESEARCH FRAMEWORK FOR PBL PROBLEM SCENARIO USING LINEAR & NON-LINEAR MULTIMEDIA

Problem Based Learning (PBL) is an instructional approach to provide student with knowledge suitable for problem solving. To support the research, PBLStat courseware is developed based on the PBL approach. In PBL approach, problem scenario is first presented during the learning process. Problem scenario helps to maintain student interest in course so it is important to create a good problem that can cause students‘ inquiry and drive students to solve the problems. The purpose of this paper is to highlight the development of research framework for PBL problem scenario presentation. Problem scenario can be presented using linear and non-linear multimedia categories. The framework of study contains the description of research control modes, content and output. The control modes of the research are consisting of two independent variables which are linear problem scenario and non-linear problem scenario. Content is the phase of courseware‘s development. The ADDIE model is used to complete the development of courseware. Finally is the research output, this is to evaluate student‘s preferences and performances based on the problem scenario categorization. There are four research instrument tools has been created to answer the research question which are questionnaire, observation, interview and PBLStat

Evaluation Of Wind Turbine Potentiality At Windy Sites In Malaysia.

Wind speed data in Malaysia has been Used, which was recorded hourly from years 1995 t 2002 at three meteorological stations, Mersing, Cameron Highland (Peninsular Malaysia) and Pulau Labuan ( Sabah state). The wind speed distribution and wind power were evaluated to provide spatial mean information of wind energy potential

Stochastic Generation Of Hourly Wind Speed Time Series.

In the present study hourly wind speed data of Kuala Terengganu in Peninsular Malaysia are simulated by using transition matrix approach of Markovian process. The wind speed time series is divided into various states based on certain criteria

Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed.

For proper planning and efficient utilization of wind energy, wind speed predictions are important. In the present study the hourly wind speed data from 1995 to 2001 at three meteorological stations at a height of 14 m above the ground level have been analysed for fitting autoregressive integrated moving average (ARIMA) models

Heat resistant and tensile properties of glass fiber reinforced polymer composites

The study focuses on E glass fiber laminate with vinyl ester resin. Two types of fiber glass are used namely chopped strand mat (CSM) and woven roving (WR). The objective of this research is to determine the thermal conductivity, specific heat capacity and Modulus Young of glass fiber-reinforced polymer (GFRP) prepared by vacuum bagging resin infusion process. The samples of GFRP were exposed to cooking gas fire for 5 minutes and 10 minutes for fire test. The tensile test was also conducted for the three samples and the microstructure was analyzed using Scanning Electron Microscope (SEM) after tensile testing. The result discovered that WR sample was better than CSM sample because CSM sample yield an average value of 0.236 W/mK for thermal conductivity and 521.6 J/KgK for specific heat capacity while WR sample give a value of 0.205 W/mK for thermal conductivity and 589.5 J/KgK for specific heat capacity. The Modulus Young of WR sample is higher (24.2 GPa) compared with CSM sample (16.1 GPa). From SEM micrograph, the failure occurred on the samples were matrix cracking and fibers separation. From the fire and tensile test conducted, the damage occurred on the samples were quite the same with the failure of the reinforcement and matrix. The findings could be used in the building construction as engineers always looking for the best material as they may have the possibilities of fire exposure and tension load as well as this is a part of the safety requirement for buildings

The trend analysis of Islamization in Malaysia using Islamization index as indicator

This paper empirically analyses the trend of Islamization in Malaysia using the Islamization Index as an indicator to determine whether the time series dataset of the Islamization index possess deterministic trends or stochastic properties.The result determines the appropriateness of the employment of the Islamization index as a proxy of Islam in the empirical study of Islam and economic performance such as economic growth and development, and not as a spurious relation as in the case of the non-stationary stochastic trend

Isoprene hotspots at the Western Coast of Antarctic Peninsula during MASEC′16

Isoprene (C5H8) plays an important role in the formation of surface ozone (O3) and the secondary organic aerosol (SOA) which contributed to the climate change. This study aims to determine hourly distribution of tropospheric isoprene over the Western Coast of Antarctic Peninsula (WCAP) during the Malaysian Antarctic Scientific Expedition Cruise 2016 (MASEC′16). In-situ measurements of isoprene were taken using a custom-built gas chromatography with photoionization detector, known as iDirac. Biological parameters such as chlorophyll a (chl-a) and particulate organic carbon (POC) were compared to the in-situ isoprene measurements. Significant positive correlation was observed between isoprene and POC concentrations (r2 = 0.67, p < 0.001), but not between isoprene and chl-a. The hotspots of isoprene over maritime Antarctic were then were investigated using NAME dispersion model reanalysis. Measurements showed that isoprene mixing ratio were the highest over region of King George Island, Deception Island and Booth Island with values of ∼5.0, ∼0.9 and ∼5.2 ppb, respectively. Backward trajectory analysis showed that air masses may have lifted the isoprene emitted by marine algae. We believe our findings provide valuable data set of isoprene estimation over the under sampled WCAP