The sudden change in the landscape of Philippine education, including the implementation of K to 12 program, Higher Education institutions, have been struggling in attracting freshmen applicants coupled with difficulties in projecting incoming enrollees. Private HEIs Enrolment target directly impacts success factors of Higher Education Institutions. A review of the various characteristics of freshman applicants influencing their admission status at a Philippine university were included in this study. The dataset used was obtained from the Admissions Office of the University via an online form which was circulated to all prospective applicants. Using Logistic Regression, a predictive model was developed to determine the likelihood that an enrolled student would seek enrolment in the institution or not based on both students and institution's characteristics. The LR Model was used as the algorithm in the development of the Decision Support System. Weka was utilized on selection of features and building the LR model. The DSS was coded and designed using R Studio and R Shiny which includes data visualization and individual prediction.

翻译：菲律宾教育环境的突然变化,包括K到12方案的执行,高等教育机构,在吸引新生申请者方面一直困难重重,加上难以预测入学人数。私立HEI入学目标直接影响到高等教育机构的成功因素。这项研究包括审查影响菲律宾大学录取状况的新生申请者的各种特点。所使用的数据集通过在线表格从大学招生办公室获得,并分发给所有可能的申请者。利用后勤退步,开发了一个预测模型,以确定入学学生能否申请入学,不论是否以学生和机构的特点为依据。LEM模型被用作决定支持系统开发的算法。Weka用于选择特征和构建LR模型。DSS是使用R Studica和R Shiny(包括数据可视化和个人预测)编码和设计的。DSS是使用R Studio和R Shiny(包括数据可视化和个人预测)来编码和设计的。