Shamsuddin S.N.W.,University Sultan Zainal AbidinTerengganu |
Abu Bakar N.F.,University Sultan Zainal AbidinTerengganu |
Makhtar M.,University Sultan Zainal AbidinTerengganu |
Wan Isa W.M.,University Sultan Zainal AbidinTerengganu |
And 2 more authors.
Journal of Theoretical and Applied Information Technology | Year: 2016
Quran is the fundamental holy book of Islam. Among the most important concerns is to learn it by heart. However, current method in Quranic schools is becoming less effective towards young generation. Thus, there is a need to find alternative solutions to memorize Quran for young Muslims. Mobile learning is an alternative to conventional learning that will support the existing method. Mobile devices have made an immediate impact on teaching and learning practices. However, for mobile learning to be effective for children in memorizing Quran, it is necessary to find specific design guidelines and pedagogy to this learning method. This paper aims at providing a unifying framework for developing Quran memorizer application using multimedia interactive method and learning theories for mobile learning. © 2005 - 2016 JATIT & LLS. All rights reserved.
Mamat A.R.,University Sultan Zainal AbidinTerengganu |
Abd Rawi N.,University Sultan Zainal AbidinTerengganu |
Awang M.I.,University Sultan Zainal AbidinTerengganu |
Kadir M.F.A.,University Sultan Zainal AbidinTerengganu |
Abd Rahman M.N.,University Sultan Zainal AbidinTerengganu
International Journal of Advances in Soft Computing and its Applications | Year: 2015
Content based image retrieval (CBIR) has become one of the most active research areas in the past few years. Many indexing techniques are based on global feature distributions. However, these global distributions have limited discriminating power because they are unable to capture local image information. In this paper, the new proposed method based on local image to classify the Interest Region (IR) and Non Interest Region (NIR) of images. To develop this, the integration of clustering and user intervention was applied. Clustering process is obtaining several regions, meanwhile to ascertain the location of the center of images through user intervention. Several experiments are conducted using different weight (ω, γ) of IR and NIR. Subsequently average color moment is extracted from this region (IR and NIR) in CIE Lab color model. To investigate the performance, new distance is proposed based on Euclidean distance. Experimental results show the proposed method more efficient in image retrieval.
Rahi S.,University Sultan Zainal AbidinTerengganu
Journal of Internet Banking and Commerce | Year: 2016
Purpose/Significance: The purpose of this study was to investigate the relationship between customer perceived value and customer’s perception of public relation on customer loyalty with moderating role of brand image. Research was conducted on banking sector of Pakistan. Design/methodology/approach: Data collected in a survey that yielded 930 respondents. Questionnaire was adopted from research work of Zeithaml, Berry, and Parasuraman (1996) and Park, Jaworski, and Maclnnis (1986). Deductive -Positive - Quantitative Approach was used for the analysis. A theoretical framework was proposed to suggest links among variables. Multiple regression and Moderating regression were used to examine the hypothesized relationship. Findings: It was found that Customer Perceived value, Customer’s Perception of Public relation brought 94.0% change on customer loyalty. Study concluded that there was a strong positive significant relationship between proposed variables. To check the moderation of brand image researcher took the interaction of all independent variables with brand image. Results prevailed that there was significant qasi moderation exist. Research limitations/implication: Further research is indicated, to identify effects of these variables on other services provider companies of excluding Pakistani banking sector. Banking sector in Pakistan should pay more attention on Customer’s Perception of Public relation and Customer Perceived Value, in order to enhance the customer loyalty. Originality/value: This study is the first study that tests the western model on south eastern countries like Pakistan. In addition to that there is no research work found that reflects on customer perceived value and Customer’s perception of public relation with moderating effect of brand image especially on banking sector of Pakistan. This document will help managers to adopt appropriate strategies that will lead banking sector towards prosperity. © Samar Rahi, 2016.
Zulkafli A.H.,Universiti Sains Malaysia |
Hamzah A.H.,University Sultan Zainal AbidinTerengganu |
Bakar N.A.,University Sultan Zainal AbidinTerengganu
Advanced Science Letters | Year: 2015
This paper presents evidence on the role of board governance in influencing financing policy of listed companies in Malaysia. As most of board’s studies directed towards understanding the influence of its structure on firm’s performance, this study is intended to measure its relationship with corporate financial policies in a country with a highly concentrated ownership structure; Malaysia. This study employs board size, board independent and board remuneration as board governance proxy while debt ratio is used to represent financing policy of a firm. It is found that board remuneration is the only significant board governance variable in explaining financing policy of public listed companies in Malaysia. © 2015 American Scientific Publishers. All rights reserved.
Assessment of surface water quality using multivariate statistical techniques in the terengganu river basin [Penilaian kualiti air permukaan menggunakan teknik statistik multivariat bagi lembangan sungai Terengganu]
Ibrahim A.,University Sultan Zainal AbidinTerengganu |
Juahir H.,University Sultan Zainal AbidinTerengganu |
Toriman M.E.,University Sultan Zainal AbidinTerengganu |
Mustapha A.,Kano University of Science and Technology |
And 2 more authors.
Malaysian Journal of Analytical Sciences | Year: 2015
Multivariate Statistical techniques including cluster analysis, discriminant analysis, and principal component analysis/factor analysis were applied to investigate the spatial variation and pollution sources in the Terengganu river basin during 5 years of monitoring 13 water quality parameters at thirteen different stations. Cluster analysis (CA) classified 13 stations into 2 clusters low polluted (LP) and moderate polluted (MP) based on similar water quality characteristics. Discriminant analysis (DA) rendered significant data reduction with 4 parameters (pH, NH 3-NL, PO4 and EC) and correct assignation of 95.80%. The PCA/FA applied to the data sets, yielded in five latent factors accounting 72.42% of the total variance in the water quality data. The obtained varifactors indicate that parameters in charge for water quality variations are mainly related to domestic waste, industrial, runoff and agricultural (anthropogenic activities). Therefore, multivariate techniques are important in environmental management. © 2015, Malaysian Society of Analytical Sciences. All rights reserved.