Abstract: Student Entrepreneur Program (PMW) is a program of   Sebelas Maret University (UNS) in an effort to train students in the field of entrepreneurship. This program has a lot of interest which are required to make a start up bussiness. After five years of running the program, the accumulation of bussiness plan participants. This data maybe used to pile to be extracted and processed into useful information using classification. This classification process is expected to be used to consider the selection process. It is intended that the provision of venture capital funds can be targeted and there was warning or anticipation to students who could potentially fail or go without after getting capital funds. The process classification of data later in the mining heap using iterative dechotomiser 3 (ID3) algorithm. The data in this mining process will form to the pattern that can be known linkages between participants attribute the success category. This pattern is expected to be used in the PMW for the selection process. From the test results on the data PMW UNS, average accuracy percentage owned by 77.49% when tested with the 10% which do random testing of data as much as ten times and 96,33% for all training data.
Keywords: Data mining, Decision tree, Iterative Dichotomiser 3, Classification
Penulis: Tisna Dedi Utama, Sari Widya Sihwi, Afrizal Doewes
Kode Jurnal: jptinformatikadd140587

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