With the emergence of the learning materials volume, the developer has to face many challenges to develop an effective and efficient application to support the learning process. The objective of this study is to evaluate usability of Virtual Umrah application based on expert views using User-Centered Design approach. User-Centered Design is a multi-stages process that requires the designers to analyze and verify the requirement of a user by involving the user throughout the whole processes. The findings of the usability evaluations are for errors, efficiency and satisfaction level, the individual mean score is 4.00, 4.20 and 4.40. While for the memorability and learnability component, the mean score for the items are below than 4.00 which are 3.80 and 3.70 respectively. These findings demonstrate that the developed application is significantly needed by the pilgrims and individuals in order to assist them in preparation and performing Umrah.
This paper proposes a new technique, Model Selection Technique (MST) for selection andranking of models from the repository of models by combining three performance measures (Acc, TPR and TNR). This technique provides weightage to each performance measure to find the most suitable model from the repository of models. A number of classification models have been generated to classify water quality using the most significant features and classifiers such as J48, JRip and BayesNet. To validate this technique proposed, the water quality dataset of Kinta River was used in this research. The results demonstrate that the Function classifier is the optimal model with the most outstanding accuracy of 97.02%, TPR = 0.96 and TNR = 0.98. In conclusion, MST is able to find the most relevant model from the repository of models by using weights in classifying the water quality dataset.
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