PENGGALIAN PENGETAHUAN DARI DATA RIWAYAT AKADEMIK UNTUK REKOMENDASI PEMILIHAN MATA KULIAH PILIHAN
Abstract: One of the higher
education problems is to map out students potential effectively to achieve a
more optimal education results. The mapping could be represented by choosing the
right department, choosing thesis title, or choosing the right optional
subject. Higher education is an institution that resulting many data including
the student’s academic profile which can be utilized to fulfil this objective.
Data mining is a technology which can interface this need. One of the data
mining variant is association analysis and frequent itemset mining which are
seeking the connection pattern between one attribute or item and the other.
Data attribute that shows up often at the same time means that they have a
strong association connection and can make a pattern used as information.
Apriori algorithm is a popular algorithm that is used in association data
mining. Although this algorithm have several disadvantages, this algorithm
still commonly used because it’s easiness to implement and it’s flexibility to
improved and adjusted with the purpose. As the addition, several publications
have suggested some improvement for this algorithm, such as limiting the number
of rules. In this research, the
utilization of Apriori Algorithm to extract knowledge from academic’s profile
data could not yet resulted in aimed recommendation due to the lack
distribution of optional course which results in the lack of knowledge seeking
result variation and only focused on certain optional course as the result of
knowledge seeking.
Penulis: Andhik Budi Cahyono,
Sukrisno Mardiyanto
Kode Jurnal: jptindustridd160146
