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Articles by Lilly Suriani Affendey
Total Records ( 4 ) for Lilly Suriani Affendey
  Payam Hassany Shariat Panahy , Fatimah Sidi , Lilly Suriani Affendey , Marzanah A. Jabar , Hamidah Ibrahim and Aida Mustapha
  Improving data quality is a basic step for all companies and organizations as it leads to increase opportunity to achieve top services. The aim of this study was to validate and adapt the four major data quality dimensions’ instruments in different information systems. The four important quality dimensions which were used in this study were; accuracy, completeness, consistency and timeliness. The questionnaire was developed, validated and used for collecting data on the different information system’s users. A set of questionnaire was conducted to 50 respondents who using different information systems. Inferential statistics and descriptive analysis were employed to measure and validate the factor contributing to quality improvement process. This study has been compared with related parts of previous studies; and showed that the instrument is valid to measure quality dimensions and improvement process. The content validity, reliability and factor analysis were applied on 24 items to compute the results. The results showed that the instrument is considered to be reliable and validate. The results also suggest that the instrument can be used as a basic foundation to implicate data quality for organizations manager to design improvement process.
  Payam Hassany Shariat Panahy , Fatimah Sidi , Lilly Suriani Affendey , Marzanah A. Jabar , Hamidah Ibrahim and Aida Mustapha
  Awareness of data quality dimensions and their relationships, poses new challenges to the database provider during the past two decades. Although, information systems have continuous improvement against their data problems, their success progressively depends on their methodology. This paper presents a methodology to measure, analyze and evaluate data quality dimensions by using subjective and objective measurement. Applying empirical methods and data mining techniques are steps of this methodology to improve database quality in the information systems. The applied rules and methods can be used to visualize and analyze attribute identification of the databases which is powerful and efficient to extract and reduce inconsistencies of the data. This methodology can be applied to compute other measurable quality dimensions and can help the information system providers to have intelligent and highly sophisticated opinions on creating databases.
  Fereshteh Falah Chamasemani , Lilly Suriani Affendey , Norwati Mustapha and Fatimah Khalid
  Automatic video annotation has received a great deal of attention from researchers working on video retrieval. This study presents a novel automatic video annotation framework to enhance the annotation accuracy and reduce the processing time in large-scale video data by utilizing semantic concepts. The proposed framework consists of three main modules i.e., pre-processing, video analysis and annotation module. The framework support an efficient search and retrieval for any video content analysis and video archive applications. The experimental results on widely used TRECVID dataset using concepts of Columbia374 demonstrate the effectiveness of the proposed framework in assigning appropriate and semantically representative annotations for any new video.
  Fatimah Sidi , A. Jabar Marzanah , Lilly Suriani Affendey , Iskandar Ishak , Nurfadhlina Mohd Sharef , Maslina Zolkepli , Tan Ming Ming , Muhammad Faidhi Abd Mokthi , Maslina Daud , Naqliyah Bt Zainuddin and Rafidah Abdul Hamid
  This study describes a comparative analysis study conducted on existing approaches, frameworks and relevant references used in field of information security. The purpose of this study is to identify suitable components in developing a threat factor profiling. By having a threat factor profiling, organizations will have a clear understanding of the threats that they face and enable them to implement a proactive incident management program that focuses on the threat components. This study also discusses the proposed threat factor profiling.
 
 
 
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