IMPLEMENTASI ALGORITMA ITERATIVE DICHOTOMISER 3 PADA PENYELEKSIAN PROGRAM MAHASISWA WIRAUSAHA UNS
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