The purpose of this study is to see the factors that influence prospective students to choose the private university in Indonesia. This research is a descriptive university study with a cross-sectional survey using a questionnaire that has open-ended questions. The literature study found a series of factors influencing prospective students in choosing the best university and marketing strategy. Interviews with new students were conducted to find out strategies and various influencing factors other than those obtained through literature studies. Then data processing is carried out with descriptive statistics to find out the best marketing strategy for conveying information to the students until they can finally determine their university choice. From the research result, it is found that the internal factors that influence the student to choose University X are the motivation for a clear job in the future, income level after alums, social position, expanding knowledge and the existence of a dormitory as a way to guarantee regular life. External factors influencing the student to choose University X are alumni with brilliant careers, qualified teaching staff, job security, campus discipline, relationships with alums and a safe and comfortable environment. Information about this factor becomes a recommendation for university X to detail the influential parts of promotion. This research is still limited to descriptive data analysis. Further research using factor analysis needs to be done to obtain factors that are pretty significant in influencing students to choose a private university. More data is needed with more universities. This is the first study on analysing factors that influence students in choosing a private campus with boarding university status .
Bus Rapid Transit (BRT) is one of the main choices of public transportation that supports mobility of Jakarta community. As one of the main choices of public transportation, BRT should provide good service and always improve its performance. Needs for moving or mobility will cause a problem if the moving itself is heading at the same area and at the same time. That will cause some problems which are often faced in urban areas such as traffic and delay. To overcome those problems there needs to be a strategy to build good public transportation planning, besides need to know individual travel patterns to overcome problems and improve BRT service. In case to realize those plans needs to be built origin-destination (O-D) matrix. O-D matrix is a matrix that each cell is an amount of trip from the source(row) to the destination (column). O-D matrix is beneficial for analysis, design and public transportation management. O-D matrix also provides useful information like amount of trip between 2 different locations, that can be utilized as fundamental information for decision making for three levels of strategic management (long term planning), tactic (service adjustment and network development), and operational (scheduling, passenger statistic, and performance indicator). To build O-D matrix is required a predictive model that can be measured to predict passenger destination. The predictive model will be build using classification algorithms such as Decision Tree and K-Nearest Neighbor (KNN).
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