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Massive Open Online Course (MOOC), a web-based e-learning tool, is growing to be used by current educational institutions. To prevent high non-passing rate, instructor needs to know which learner has the potential to pass the course or not. Learner who will fail the course also need advices immediately from instructor or system to overcome it. Learning Analytics (LA) is needed to collect and analyze learners' activity logs on MOOC and predict their passing potential. The prototype application is developed by using Rational Unified Process (RUP) software development method. Implementation of LA in MOOC is feasible and suggested to analyze learners' success factors by consuming learners' activity logs and visualizing it in scatter diagram and node-link diagram. Instructor can provide advices to learners based on success factors generated by LA.

online transaction has been booming in this era, there are so many customers use this method for buying some product through electronic media. Implementation model of enterprise architecture framework in e-commerce usually work successfully, but in some enterprise since the model of enterprise architecture has been applied, companies seeing the lack of alignment between business and technology designed, so companies need to find solutions for fixing the problems. One of the purposes of this literature review is to analyze the components of enterprise architecture framework to support business processes with technology of e-commerce system. This study uses a systematic literature review method, step of search process reviewing various sources of databases by using keywords related to the topic of research, and the data obtained is classified based on the inclusion and exclusion criteria. There are 117 papers identified with the topic research, then selected into 50 papers to review. The research result finds six components of enterprise architecture framework is the most influential in the development of e-commerce systems, which are business, system, design, technology, service, and people.

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Difficulties in learning programming often hinder new students as novice programmers. One of the difficulties is to transform algorithm in mind into syntactical solution (sourcecode). This study proposes an application to help students in transform their algorithm (logic) into sourcecode. The proposed application can be used to write down students' algorithm (logic) as block of pseudocode and then transform it into selected programming language sourcecode. Students can learn and modify the sourcecode and then try to execute it (learning by doing). Proposed application can improve 17% score and 14% passing rate of novice programmers (new students) in learning programming.