Browsing by Author "Masita @ Masila Abdul Jalil"

Now showing 1 - 3 of 3
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    Architecture of Decision Support System for Crime Visualization
    (Asian Network for Scientific Information, 2015-09-14) Noor Maizura Mohamad Noor; Siti Haslini Ab Hamid; Rosmayati Mohemad; Masita @ Masila Abdul Jalil; Muhammad Suzuri Hitam
    Recently, crime rate in Malaysia is increasing from day to day. If this situation is not monitored and there is no drastic action taken, it may cause many serious problems. Therefore, crime prevention is one of the important components of an overall strategy to reduce crime and to strengthen public security. However, the main challenge faced by all law-enforcement and intelligence-gathering organizations is to analyze the growing volumes of crime data accurately and efficiently in order to make decision for crime prevention.
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    Empirical investigation to explore factors that achieve high quality of mobile learning system based on students’ perspectives
    ("Engineering Science and Technology, an International Journal", 2016-04-13) Mohammed Amin Almaiah; Masita @ Masila Abdul Jalil; Mustafa Man
    This study presents three frameworks for mobile learning system based on quality factors derived from the updated DeLone and McLean information system success model. This study used the questionnaire as a quantitative method to explore quality factors for mobile learning system based on perspectives of 392 students. This study opens future work for using the identified quality factors as guidelines for researchers and designers to design and develop mobile learning applications.
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    A Review on a Classification Framework for Supporting Decision Making in Crime Prevention
    (Asian Network for Scientific Information, 2015) Noor Maizura Mohamad Noor; Siti Haslini Ab Hamid; Rosmayati Mohemad; Masita @ Masila Abdul Jalil; Muhammad Suzuri Hitam
    Increasing volume of crimes has brought a serious problem to many countries across the world. Crime prevention is an important component of an overall strategy to reduce crime and to strengthen public safety. Although, Supporting Decision Making (SDM) in crime prevention is an important topic but a comprehensive literature review on the subject has yet to be implemented. Thus, this study presents a systematic and comprehensive review on a classification framework for SDM in crime prevention.