Fitriana Destiawati, Harry Dhika


The study was conducted on high school students in the scholarship, it intends to build a spirit of good learning, build learning achievement and certainly provide educational opportunities for underprivileged students. In determining the feasibility of granting scholarships is made with several attributes including parental income, student achievement, classroom of students, number of dependents of parents in one house, student attendance, and student activity in the organization. The method used in this study is the CRISP-DM (Cross standart Industries Proses for Data Mining) using Naive Bayes algorithm in the feasibility of providing scholarships. The results of this study in the form of naïve Bayes model of the measured level of accuracy reached 94% or by 0.94 with the title very well so that classification in the category very well with a percentage of 0.90 - 1:00.

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