Skripsi

PREDIKSI PERMINTAAN MATA KULIAH PADA SEMESTER ANTARA MENGGUNAKAN ALGORITMA APRIORI PADA JURUSAN TEKNIK INFORMATIKA UNIVERSITAS SRIWIJAYA

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Penilaian

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Every year there are many students who want to take short semesters but cant take the courses they want due to majors that do not open these courses. Prediction of course demand is the use of programming technology to find out which courses have a lot of interest in the next semester. The a priori algorithm was chosen to predict course demand because of the method's ability to find final results faster than similar data mining algorithms. This study uses the support value to find courses with the best confidence value. Based on the research results, the support value of 40% will produce the best confidence in each subject to be taken.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002633	T51558	T515582021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T515582021

Publisher

Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2021

Collation

xi, 62 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Pemrosesan Data, Teknik Informatika
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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