SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMILIHAN PROGRAM STUDI DI FAKULTAS TEKNIK UNIVERSITAS TANJUNGPURA
Abstract: Current educational
needs are increasing with the rising of community economic rate. This causes
high school students' interest are also increasing to continue their study to a higher state.
However, most of the students find it hard to make a decision of which course
is suitable for them, so they are likely to choose it by considering parents'
or friends' suggestion without understanding the course itself. The mistake in
choosing a course could lead to negative impacts of their study, such as the
longer school term they should bear, or mostly, the lower grade point average
(GPA) they should face. This problem happens to the upcoming Engineering
students too, so it takes a decision
support system (DSS) that is able to provide recommendations by considering
their major in high school, the study results, as well as their interest on
choosing the courses in Engineering Faculty. This system uses K-Nearest
Neighbor method, by comparing the data of new students with the graduated
students of Engineering Faculty, so it can generate a course recommendation,
the length of the school term prediction and also the prediction of their GPA.
Keyword: decision support
system, k-nearest neighbor, engineering faculty, study recommendation, GPA
prediction, year of study prediction
Penulis: Lisna Octa Vinanda
Kode Jurnal: jptinformatikadd140184
