We conducted this study to evaluate the competencies of Form Six geography teachers in achieving the Malaysian Education Quality Standards. We applied a qualitative approach using the observation technique. The respondent observation consisted of three teachers who had more than 10 years of experience teaching Form Six geography and who were working in the areas of Batang Padang district, Perak and Hulu Selangor district, Malaysia. The variables we assessed were practical knowledge, subject-content knowledge, pedagogical content knowledge, pedagogical technology knowledge, teachers’ teaching of professional behaviours and attitudes, and values modified from the Quality Level Rubric of the Malaysian Education Quality Standards. The observation findings showed that each teacher scored different points, ranging from three to four for the assessed variables. Teachers’ pedagogical technology knowledge needs to be improved as two out of three teachers were still using Teaching Aid Materi.....

733 hits

The objective of this study is to identify the main spatial distribution patterns associated with torrential rainfall days that linked to the topography of Peninsular Malaysia.This is done by applying cluster analysis on the most relevant principal directions extracted from a principal components analysis of the between day correlation. However, the characteristic of rainfall data in Peninsular Malaysia involve skewed observations which only take positive values and are skewed towards higher values. Thus, applying PCA based Pearson correlation on rainfall data set could affect cluster partitions and generate extremely unbalanced clusters. Tukey's biweight correlation is introduced to overcome the problem where the weight function down weights data values that is far from the center of the data. The findings indicate that ten rainfall patterns obtained are quite definite and clearly display the dominant role extended by the complex topography and exchange monsoons of the peninsular.  .....

1007 hits

This study is designed to i) apply chaotic approach in predicting Carbon Monoxide (CO) data series and ii) improve the method in determining number of k–nearest neighbor. Chaotic approach is one alternative approach to predict any data series. Prediction through chaotic approach is made after three important parameters which are delay time τ, embedding dimension m and numbers of nearest neighbor k were determined. Therefore, the chaotic approach is applied. In this study, predictions are done to Carbon Monoxide time series observed at Shah Alam in Malaysia. Parameters τ and m are determined through average mutual information and Cao method respectively. While for k, most of the past researches frequently used try and error method. In this study an improvement of the method in determining the number of k is introduced. This improved method is done through plotting the graph of k versus the correlation coefficient (cc) of prediction model. Parameter cc is obtained through the predict.....

621 hits

The mission for photo-realism plants modeling areas yet open test. Within the L-System, non-regular and complex plant turn out to be all more numerically sensible. In any case, some control parameters should be adjusted again and to get the correct L-System axioms and productions protocols so as produce the good plants modeling. In this paper, an cross-compiling l-Systems stage are created for developing plant models from squiggly structures of computer graphics application to genuine numerically based representations. The determinations are worked using enabling the standards JSON IDE (Java Script Object Notation Integrated Development Environment) within primitive custom-made to LSystems algorithms. Besides, from plant modeled, a music score based on scientific pitch notation is generated. Toward the finish of this paper, various outlined programming precedentis gives through graphic interpretations on L-System...

427 hits

The purpose of this study is to analyze the game elements based on Gagne Nine Events of Instruction and to develop instrument which will be use to analyze the game elements needed in the development of digital educational games. The study was conducted using qualitative design where the interview and observation involved. A total of 20 students from a school in Tanjong Malim Perak participated in this survey. The findings of the study show that eight game elements are analyzed based on Gagne Nine Events of Instruction that are mystery, action, challenge, being at risk, uncertainty of outcome, opportunity for mastery, visible signs of progress and emotional content. These elements will be aligned with Gagne Nine Events of Instruction to develop an instrument. In conclusion, this study will further enhance the digital educational games design process and further promote innovation in teaching and learning in line with the Malaysian Education Blueprint 2013-2025.   ..

963 hits

The purpose of this study is to design a selfexplanation prompts or help element in iFractions educational game software. The self-explanation prompts was developed using the cartoon concept. In the previous research students who used the self-explanation prompts showed significantly better achievements. Students who used iFractions with selfexplanation prompts found that it has helped them make the fractions abstract concept concrete and facilitate the proper construction of fractions schema. Therefore, the design of any educational software must be constructive in parallel with the combination of scaffolding element which is the self- explanation prompts...

1050 hits

This study aimed to determine the anthropometrics of athletes representing Universiti Pendidikan Sultan Idris (UPSI) during the Malaysian Inter-varsity Sports (MASUM) tournament, 2018. In this study, 50 athletes consisted of 15 hockey players, 12 netball players, 13 volleyball players and 10 volleyball players were recruited as participants. Percentage of body fat was measured using formula by Jackson, Pollock and Ward (1980) while somatotype were determine using the scale by Heath and Carter. Data were analyzed using descriptive statistics and Pearson correlation. The results of the anthropometric profile indicate that almost all teams have an endo-meso (more muscular) body, but the results of the relationship showed that significant relationship between the anthropometric profile and the performance were only found in the bowling team, r = 0.13, p= 0.14, p < 0.05. For hockey, netball, and volleyball teams did not show significant relationship (r = 0.15, p = 0.74, p> 0.05), (r =0.12, .....

1306 hits

In this study, hybrid RPCA-spectral biclustering model is proposed in identifying the Peninsular Malaysia rainfall pattern. This model is a combination between Robust Principal Component Analysis (RPCA) and biclustering in order to overcome the skewness problem that existed in the Peninsular Malaysia rainfall data. The ability of Robust PCA is more resilient to outlier given that it assesses every observation and downweights the ones which deviate from the data center compared to classical PCA. Meanwhile, two way-clustering able to simultaneously cluster along two variables and exhibit a high correlation compared to one-way cluster analysis. The experimental results showed that the best cumulative percentage of variation in between 65%-70% for both Robust and classical PCA. Meanwhile, the number of clusters has improved from six disjointed cluster in Robust PCA-kMeans to eight disjointed cluster for the proposed model. Further analysis shows that the proposed model has smaller variatio.....

1595 hits

One of the popular approaches in modifying the Conjugate Gradient (CG) Method is hybridization. In this paper, a new hybrid CG is introduced and its performance is compared to the classical CG method which are RivaieMustafa-Ismail-Leong (RMIL) and Syarafina-Mustafa-Rivaie (SMR) methods. The proposed hybrid CG is evaluated as a convex combination of RMIL and SMR method. Their performance are analyzed under the exact line search. The comparison performance showed that the hybrid CG is promising and has outperformed the classical CG of RMIL and SMR in terms of the number of iterations and central processing unit per time..

1596 hits

This study aimed to examine the relationship between transparency and corporate financial performance. This study based on a sample of 25 corporations listed on Iraq stock exchange (ISX). Information related to research variables is for 2014-2017 (4-year period). To investigate the association between variables of this research, the transparency (ownership structure and stakeholder’s rights (OWSR), financial and nonfinancial information (FNF) and board of directors (BOD) dimensions) as independent variable and corporate financial performance based on accounting data, return on assets (ROA), return on equity (ROE) and return on investment (ROI) as dependent variable are considered. In this study, to analyze research data and the models estimation, the Ordinary Least Square (OLS) regression test was used. For this purpose, 80 items were analyzed in three indictors which are ownership structure and stakeholder’s rights, financial and non-financial information and board structure using.....

1062 hits