Nurul Bariyah Ibrahim

Learners Satisfaction of E-Learning Among Public University Students : A Case Study in Kota Bharu

Nurul Bariyah Ibrahim Nur Safwati Ibrahim Shamsunarnie Mohamed Zukri Mai Syazwani Mior Mohd Yusof Nadiah Nabilah Roslan

E-learning is the learning styles that using internet to provide education information to the users according the development of technology. It also can access by using any electronic media. Nowadays, many students are often dissatisfied with the e-learning experience because the process of e-learning is less efficient than face to face learning. Therefore, a survey was conducted to identify the relationship between (learner computer anxiety, course flexibility and perceived usefulness) and perceived e-learners satisfaction and to determine the significant influence of (learner computer anxiety, course flexibility and perceived usefulness) on perceived e-learners satisfaction. A cross-sectional study with two-stage cluster sampling was applied in this study. A validated online questionnaire was distributed to 263 students from selected clusters. There are several method of data analyses was applied for this research such as Pearson’s Correlation and Multiple Linear Regression. This study shows there is a positive weak linear relationship between course flexibility and perceived e-learner satisfaction. While, computer anxiety and perceived usefulness have positive moderate linear relationship towards perceived e-learner satisfaction. Factors influenced the perceived e-learners satisfaction were computer anxiety and perceived usefulness with perceived usefulness was the most influenced factor. In conclusion, since the perceived usefulness is affecting the most of the perceived e-learners satisfaction, the university management can improved e-learning system with user friendly basis to attract the e-learners to use the system for reading, downloading learning material and interacting to participate in discussion, chatting and emailing. This can improve their academic performance and allowing them to learn effectively.

E-Learning

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Learners satisfaction of e-learning among public university students : a case study in Kota Bharu / Nurul Bariyah Ibrahim... [et al].

Nurul Bariyah Ibrahim Nur Safwati Ibrahim Mai Syazwani Mior Mohd Yusof Nadiah Nabilah Roslan

E-learning is the learning styles that using internet to provide education information to the users according the development of technology. It also can access by using any electronic media. Nowadays, many students are often dissatisfied with the e-learning experience because the process of e-learning is less efficient than face to face learning. Therefore, a survey was conducted to identify the relationship between (learner computer anxiety, course flexibility and perceived usefulness) and perceived e-learners satisfaction and to determine the significant influence of (learner computer anxiety, course flexibility and perceived usefulness) on perceived e-learners satisfaction. A cross-sectional study with two-stage cluster sampling was applied in this study. A validated online questionnaire was distributed to 263 students from selected clusters. There are several method of data analyses was applied for this research such as Pearson’s Correlation and Multiple Linear Regression. This study shows there is a positive weak linear relationship between course flexibility and perceived e-learner satisfaction. While, computer anxiety and perceived usefulness have positive moderate linear relationship towards perceived e-learner satisfaction. Factors influenced the perceived e-learners satisfaction were computer anxiety and perceived usefulness with perceived usefulness was the most influenced factor. In conclusion, since the perceived usefulness is affecting the most of the perceived e-learners satisfaction, the university management can improved e-learning system with user friendly basis to attract the e-learners to use the system for reading, downloading learning material and interacting to participate in discussion, chatting and emailing. This can improve their academic performance and allowing them to learn effectively.

E-Learning

Public university

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The awareness of cleanliness among students of UiTM Kota Bharu / Faten Ainon Najwa Arba … [et al.]

Akademi Pengajian Bahasa eBooks (2021)

Faten Ainon Najwa Arba Najah Syamimi Zakaria Wan Nurul Anis Wan Kamal Nor Hazreeni Hamzah Nur Safwati Ibrahim

Cleanliness is a state of being clean. Today’s pandemic of Coronavirus 2019, Covid- 19 is greatly associated with cleanliness. This study was done to identify the awareness of cleanliness among students of UiTM Kota Bharu based on gender, academic achievement, peer, and environmental influence. A cross-sectional correlational design was used in this study with a sample of 301 respondents. The aims of this study were to identify the mean different between gender and academic achievement on the awareness of cleanliness. Besides, this study also aimed to identify the influential factor towards the awareness of cleanliness. Independent t-test, one-way ANOVA and multiple linear regression was used in order to answer the objectives. It was found that both gender and academic achievement had no significance difference on the awareness of cleanliness. It was also revealed that, peer influence and environmental influence significantly influenced the awareness of cleanliness among students.

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The influential factors affecting occupational stress : A study among secondary school teachers in Kelantan / Nurul Bariyah Ibrahim ... [et al.]

Nurul Bariyah Ibrahim Nor Hazreeni Hamzah Nur Safwati Ibrahim Noor Zafarina Mohd Fauzi

Occupational stress or workload stress is the physical or psychological factor that has been pushed by any force behind its range of stability, producing a strain within the individuals. Occupational stress experienced by teachers is attributed by their workload. It can cause anxiety and depression which can lower the teacher’s ability to function at work or in their daily life. The purpose of this study is to identify the relationship of time management, work-related stressors, self-motivation and teaching experience on the occupational stress among teachers of secondary school in Kota Bharu. A set of questionnaire was distributed to 200 teachers from daily and cluster secondary schools in Kota Bharu. Using the Multiple Linear Regression method derived with statistical tool Statistical Package for the Social Sciences (SPSS) version 22, the finding shows that there is a significant linear relationship between time management, work-related stressors, teaching experience, self-motivation and the occupational stress. The regression analysis shows that the factors of time management, work-related stressors, teaching experience and self-motivation affect occupational stress. Furthermore, this study also found that time management is the most important factor that affects the level of occupational stress among the teachers. It proved that the effectiveness of individual time management is very important in order to manage stress level. Therefore, it suggests that school teachers need to be provided with time management training course and educators motivation program

Stressor

Occupational Stress

Affect

Time management

Stress Management

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Statistical analysis of the factors affecting the selfie addiction among millennials using multiple regression analysis / Nurul Nasya Rahim ... [et al.]

Nurul Nasya Rahim Khairul Najwaa Kamarazman Siti Aina Shahidah Shaharudin Nurul Bariyah Ibrahim Nur Safwati Ibrahim

Selfie has been a part of people’s daily routine and it became a world phenomenon since people nowadays easily taking selfie using smartphone, digital camera or webcam almost every second. The photos taken uploaded with a unique caption and tons of hash tags in social networking platform especially among young generations. The aim of the study was to identify the relationship between independent variables (narcissism, loneliness, self-esteem) and the selfie addiction. Besides, to determine the factors (gender, narcissism, loneliness, self - esteem) that are influencing the addiction towards selfie among millennials. Cross sectional survey design was used and the target population for this study involved all students in Universiti Teknologi Mara (UiTM) Kelantan, Kampus Kota Bharu. Proportionate Stratified sampling technique was used to collect the data. A set of questionnaires was used as a measuring instrument for data collection and there were 276 respondents of undergraduated students were selected to complete the questionnaires. Correlation analysis results indicate that there are significant positive relationships between the independent variables (narcissism, loneliness, self-esteem) and the selfie addiction. Multiple regression analysis also revealed that the selfie addiction among youngsters was influenced by gender, narcissism, and self - esteem variables.

Selfie

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The Effect of High Leverage Points on VIF Measures on Noncollinear Data

Nurul Bariyah Ibrahim Habshah Midi Noor Ilanie Nordin Nor Azima Ismail Nur Elini Jauhari

Multicollinearity is a case of multiple regression in which the predictor variables are highly correlated among themselves. The problem will get more complicated when multicollinearity exists together with high leverage points. The usage of classical VIF for multicollinearity diagnostics is not reliable as it is not resistant to the presence of high leverage points. In this study, we proposed RVIF which is based on the MM estimator in the detection of multicollinearity due to the high leverage point. The computation of RVIF is based on robust coefficient determination which is called RR2 (MM). We denote this estimator as RVIF (MM). The numerical results and Monte Carlo simulation study indicate that the CVIF performs poorly in the presence of high leverage point and the proposed RVIF is very resistant to the high leverage point and unable to detect the multicollinearity in the data.

Leverage (statistics)

Variance Inflation Factor

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Differences between pearson’s product moment correlation coefficient and an absolute value correlation coefficient in the presence of outliers / Norafefah Mohamad Sobri ...[et al]

Norafefah Mohamad Sobri Habshah Midi Nurul Bariyah Ibrahim Nor Azima Ismail

The correlation coefficient is one of the most commonly used statistical measures in all branches of statistics. The empirical evidence shows that this correlation coefficient is sufficiently non-robust against outliers. The aimof this study is to compare the performance of the estimator of correlation coefficient. In this study, Pilot-plant data was considered at first stage. Second stage of this study, the simulation data were generated based on normal and uniform distributionat its four contaminated form. The methods of analysis used in this study were Pearson’s correlation coefficient and An Absolute Value correlation coefficient. It can be conclude that an Absolute Value correlation coefficient performs well and more robustcompared to Pearson’s correlation coefficient in existence of outliers. Then we investigated the bias, standard error (SE) and root mean square error (RMSE) to judge their performance. The result shows that an Absolute Value performs better than Pearson’s correlation coefficient. In general An Absolute Value correlation coefficient appears to be a good estimator because it has the lowest values of bias, standard error and RMSE

Fisher transformation

Correlation ratio

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Statistical Analysis of the Factors Affecting The Selfie Addiction Among Millennials using Multiple Regression Analysis

Nur Nasya Rahim Khairul Najwaa Kamarazman Siti Aina Shahidah Shaharudin Nurul Bariyah Ibrahim Nur Safwati Ibrahim

Selfie has been a part of people’s daily routine and it became a world phenomenon since people nowadays easily taking selfie using smartphone, digital camera or webcam almost every second. The photos taken uploaded with a unique caption and tons of hash tags in social networking platform especially among young generations. The aim of the study was to identify the relationship between independent variables (narcissism, loneliness, self-esteem) and the selfie addiction. Besides, to determine the factors (gender, narcissism, loneliness, self - esteem) that are influencing the addiction towards selfie among millennials. Cross sectional survey design was used and the target population for this study involved all students in Universiti Teknologi Mara (UiTM) Kelantan, Kampus Kota Bharu. Proportionate Stratified sampling technique was used to collect the data. A set of questionnaires was used as a measuring instrument for data collection and there were 276 respondents of undergraduated students were selected to complete the questionnaires. Correlation analysis results indicate that there are significant positive relationships between the independent variables (narcissism, loneliness, self-esteem) and the selfie addiction. Multiple regression analysis also revealed that the selfie addiction among youngsters was influenced by gender, narcissism, and self - esteem variables.

Selfie

Snowball sampling

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A Study on Identification of High Leverage Points in Multiple Linear Regression

Nor Azima Ismail Habshah Midi Nurul Bariyah Ibrahim Norafefah Mohamad Sobri Siti Nurani Zulkifli

Outliers with respect to the predictor variables are called high leverage points. The observations that are slightly different from all others can drive to a large difference in the results of regression analysis. In regression analysis, the detection of high leverage points is compulsory, as they will give large impact on the estimation values as well as lead to multicollinearity problems. In this situation, robust regression procedure can be very useful to deal with problems arise due to the existence of high leverage points. The aim of this study is to compare the performance of three methods in detecting high leverage points. At first stage, the two well-known data sets are considered. The first data used is artificial data set generated by Hawkins, Bradu and Kass in 1984 and the second data used is stack loss data by Brownlee in 1965. The second stage of this study is to conduct simulation study whereby the data were generated based on clean and contaminated data. The three sets of measures being considered in this study are Leverage methods Ttwice-the-mean-rule), Generalized Potentials and Diagnostic Robust Generalized Approach (DRGP). The result indicates that DRGP successfully proved its ability as a powerful method of detecting high leverage points as compared to the other two methods using both artificial data sets and simulated data.

Leverage (statistics)

Data point

Robust regression

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Differences Between Pearson’s Product Moment Correlation Coefficient and An Absolute Value Correlation Coefficient in the Presence of Outliers

Norafefah Mohamad Sobri Habshah Midi Nurul Bariyah Ibrahim Nor Azima Ismail Wan Faizah Wan Yaacob

The correlation coefficient is one of the most commonly used statistical measures in all branches of statistics. The empirical evidence shows that this correlation coefficient is sufficiently non-robust against outliers. The aim of this study is to compare the performance of the estimator of correlation coefficient. In this study, Pilot-plant data was considered at first stage. Second stage of this study, the simulation data were generated based on normal and uniform distribution at its four contaminated form. The methods of analysis used in this study were Pearson’s correlation coefficient and An Absolute Value correlation coefficient. It can be conclude that an Absolute Value correlation coefficient performs well and more robust compared to Pearson’s correlation coefficient in existence of outliers. Then we investigated the bias, standard error (SE) and root mean square error (RMSE) to judge their performance. The result shows that an Absolute Value performs better than Pearson’s correlation coefficient. In general An Absolute Value correlation coefficient appears to be a good estimator because it has the lowest values of bias, standard error and RMSE.

Fisher transformation

Correlation ratio

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Nurul Bariyah Ibrahim

Papers

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H-Index

i-10 index

Papers

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H-Index

i-10 index