Vol 10 No 1 (2016): Current Issues and Trends in Educational Technology-Research

Abstract

This study aimed to analyze the behavior of users of elearning Makassar State University, which has implemented since 2006 and there has been no comprehensive study before to analyze user behavior at the university level. User behavior analysis gives a comprehensive overview of learning activities during the use of elearning. It can be used as an evaluation and prediction is mainly related to level of ability, interests, and performance of learners, and also becoming foundation for the development of e-learning Makassar State University. Data collection through technical documentation, observation, and interviews. Documentation logs were analyzed using the student record log data mining clustering approach is then interpreted descriptively. The results showed that 1) the user's device UNM e-learning can be seen from this type of device, browser, screen resolution, and input methods, based on the type consisting of phones, tablets, and desktops. The most widely used browsers are Mozilla Firefox, and the most predominant screen resolution is 1366x768 pixels. Mode input is dominated by touchscreen, 2) time users access e-learning fluctuated but showed a rise in the early morning at 01.00 pm and at midday at 12.00 pm, 3) By the day, the activity is almost evenly on all days, except day Friday, 4) The duration of access is very short, average 10 seconds per session, while the location of the dominant accessed from outside the campus, while on campus only eleven percent.