Path: TopProceedingsKNSIKNSI 2014 STMIK Dipanegara Makasar

PREDIKSI LAMA KELULUSAN MAHASISWA MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN STUDY CASE STMIK TASIKMALAYA

ISSN:2355-1941
Proceeding from JBPTITBPP / 2014-03-13 10:58:14
Oleh : Egi Badar Sambani, Rahadi Deli Saputra, Evi Dewi Sri Mulyani, Central Library Institute Technology Bandung
Dibuat : 2014-03-13, dengan 1 file

Keyword : backpropagation, prediction, students, old graduation

Information needed on the current increased along with the increasingly rapid technological developments. The

more information is required then the required data is also growing and the numbers are even greater. The need

for large amounts of data can be found in STMIK Tasikmalaya Writer, This is because every year there was an

increase of data. Students especially data that continues to grow each year. The author has conducted research

is to predict the period of study of students in STMIK Tasikmalaya using Backpropagation algorithm, the factors

that influence the course duration is cumulative GPA, cumulative GPA less then the longer a student to

graduate, the students know the condition of the party may institute a policy quickly or give warning to the

student. The author takes the data on academic and student affairs Administration Bureau (BAAK) STMIK

Tasikmalaya then process them using rapidminer, from the research results obtained by using the accuracy rate

of 80.% rapidminer, these results suggest that using backpropagation algorithm so long predicted graduation

rate of students is very high.

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PropertiNilai Properti
ID PublisherJBPTITBPP
OrganisasiC
Nama KontakUPT Perpustakaan ITB
AlamatJl. Ganesha 10
KotaBandung
DaerahJawa Barat
NegaraIndonesia
Telepon62-22-2509118, 2500089
Fax62-22-2500089
E-mail Administratordigilib@lib.itb.ac.id
E-mail CKOinfo@lib.itb.ac.id

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