1,720,964 research outputs found
Usability of BLESS-implemented class room: a case study of mixtio
No full textConventional learning system and e-learning have their own strengths and weaknesses. To combine both systems, blended learning is created. In Extention Program of Informatics Engineering Faculty at XYZ university most of the students already have jobs. As much 47.5 % of students who take this program have a job in daily office hours. Then, to facilitate the learning process the XYZ university develop learning management system (LMS) by Moodle. XYZ university want to make a learning process with blended learning concept. However, the Moodle sytem has limited function to adapt the blended learning system (BLS). In the aim to improve the class usability in BLS, then this study proposes to apply to Blended Learning System Structure (BLESS) into LMS design. BLESS is offered as a framework which matches to learning and uses a top-down approach. Then, the system design maed it “Mixtio”. At the end of this study, it can be seen the analysis result of the use of BLESS can improve system usability of LMS
Analysis of Failure Factors in Information Systems Project for Software Implementation at The organization
No full textAnalysis of Quality Factors GO-JEK Mobile Application to Increase Company Competitive Advantage
No full textEnhance interval width of crime forecasting with ARIMA model-fuzzy alpha cut
No full textWith qualified data or information a better decision can be made. The interval width of forecasting is one of data values to assist in the selection decision making process in regards to crime prevention. However, in time series forecasting, especially the use of ARIMA model, the amount of historical data available can affect forecasting result including interval width forecasting value. This study proposes a combination technique, in order to get get a better interval width crime forecasting value. The propose combination technique between ARIMA model and Fuzzy Alpha Cut are presented. The use of variation alpha values are used, they are 0.3, 0.5, and 0.7. The experimental results have shown the use of ARIMA-FAC with alpha=0.5 is appropriate. The overall results obtained have shown the interval width crime forecasting with ARIMA-FAC is better than interval width crime forecasting with 95% CI ARIMA model
The use of ISO/IEC 27001: 2009 to analyze the risk and security of information system assets: case study in xyz, ltd
No full textProject Management Information Systems (PMIS) for Project Management Effectiveness: Comparison of Case Studies
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Optimizing Learning Experiences: A Study of Student Satisfaction with LMS in Higher Education
Get PDFThis research delves into the examination of student satisfaction regarding the use of Learning Management Systems (LMS) through a comprehensive questionnaire distributed among 326 participants. The study adopts a modified DeLone and McLean is Model as its methodology to assess various dimensions of LMS satisfaction. Utilizing SmartPLS for hypothesis testing, the study rigorously analyzes the data collected. The findings indicate the acceptance of all proposed hypotheses, revealing significant correlations among the variables under scrutiny. A notable outcome is the identification of service quality as the most prominent influencer of student satisfaction within LMS environments. This underscores the critical imperative for higher education institutions to prioritize and address service quality concerns proactively. Practical solutions may encompass optimizing technical support structures, refining user interfaces for enhanced accessibility, ensuring system stability, and facilitating ongoing training and support initiatives. By addressing these pivotal areas, institutions can elevate the overall student learning experience and enhance the efficacy of LMS platforms in facilitating robust educational outcomes
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