Menentukan Kemungkinan Masuknya Calon Mahasiswa Baru pada Sebuah Perguruan Tinggi Swasta Manggunakan Teknik Klasifikasi Pohon Keputusan dengan Aplikasi RapidMiner 5.1
Abstract: Classification
techniques with the formation of the decision tree is a data processing technique
enormous able to present the data into information that is easily understood by
almost everyone didandingkan in table form. Usually, the results of data
collection is in table form. But not everyone is able to read the tables
quickly and accurately as you wish manufacturer, especially if the data is very
large. Data in this study hundreds of data presented in tabular form. All
prospective students information collected in one table with a lot of items,
ranging from personal data, parents to home school. The resulting table will be
difficult to understand so that the absorption of information becomes old and
inaccurate. Presentation of information in the form of a decision tree into a
proper alternative for the data very much. By using an application RapidMiner
5.1, the making of a decision tree data from prospective students to more
easily and quickly so that the university management can see and know what are
the factors that make potential students to continue the registration process
to become a student.
Penulis: Petrus Dwi Ananto
Kode Jurnal: jptinformatikadd150303
