02549nam a2200265 a 4500 vtls000077624 KUKTEM 20251114204612.0 140415t2012 my a f m 000 0 eng d THE0001962(Local) 201905131544 yusri 201404151439 Fida UMP QA76.9.D343 I63 2012 rs Bc. Muhammad Iqbal Ismail User participation monitoring using data visualization (UPMOD) / Muhammad Iqbal Ismail Kuantan, Pahang : UMP, 2012 xiii, 63 p. : ill. (some col.) ; 30 cm. Project paper (Bachelor of Computer Science (Graphic & Multimedia Technology)) -- Universiti Malaysia Pahang - 2012 Bibliography : p. 29-30 Learning Management System or LMS is widely use in colleges and universities around the world as a management tools for teaching and learning, over the years it also have evolve from solely function as a medium for posting notes and assignments to a place where student can discuss among their own, learning instructor can monitor student behavior and accept their works via LMS. As the number of student and user each year is growing, one reporting system is needed to measure the effectiveness of using LMS. User Participation Monitoring using Data Visualization focus is to bring executive style reporting to lecturers and members of the faculty administration on how well student and also lecturer has use the LMS in their teaching and learning by utilizing the server log file from LMS itself. Bringing data to be viewed in an understandable and comprehensive way is important when analyzing accumulated data, as server log data may contain huge amount of data that has been accumulated through a period of time, ransacking and sorting out this data require huge amount of time and effort. In bringing back the issue of data visualization the easiest way and method to save time in making visualization is to make it on client-side web application, as this will enable the server to operate in a more efficient way and not to bring unnecessary load to the database. By utilizing HTML5 and JavaScript, the system is going to be develop through iterative and incremental methodology to ensure that the system can cater the ever-changing requirement of the user. Data mining Web databases Business intelligence Databases 0 0 0 1 20000 20000 2019-09-04 0 QA76.9.D343 I63 2012 rs Bc. 0000078906 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 7632 | QA76.9.D343 I63 2012 rs Bc. 0000078907 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 4904 4910 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*6502*9992