PENERAPAN JARINGAN SYARAF TIRUAN UNTUK MENGUKUR TINGKAT KORELASI ANTARA NEM DENGAN IPK KELULUSAN MAHASISWA

Yeni Nuraeni

Abstract


Currently, the Informatics Engineering undergraduate program of University of X (PSTI-X) uses the SLTA's EBTANAS Score (NEM) for admission selection criteria, especially for those coming who apply through fellowships. Due to the fact that the high score of NEM does not guarantee a graduate with high academic achievement, thus this study is intended to test the correlation between the composition of the high school's NEM with the grade point average of PSTI-X graduate using artificial neural network with feed-forward back propagation approach (JST-PB). It is expected to be used as a guideline for determining the composition of the SLTA's NEM score in the selection of new admissions, particularly via the fellowship. The results showed that JST-PB only has 64% success rate in the mapping of NEM composition and academic achievement of graduates. These results reinforce the results of previous studies using correlation analysis and multiple linear regressions that NEM could not be used as an absolute reference in the new admission selection system. The result of this study provides recommendations that PSTI-X needs to review new admissions system, particularly those through the fellowship.


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References


. Kuncoro, H. A., dan Dalimi, R., ”Aplikasi Jaringan Syaraf Tiruan Untuk Peramalan Beban Tenaga Listrik Jangka Panjang Pada Sistem Kelistrikan Di Indonesia”, Jurnal Teknologi, Edisi No. 3 Tahun XIX, September 2005, 211-217.

. Alamsah, M., Santoso, P.A., dan Swadesi, B., ”Implementasi Jaringan Syaraf Tiruan Dalam Pemilihan Metode Enhanced Oil Recovery”, Proceeding Simposium Nasional IATMII, 25 – 28 Juli 2007, UPN Veteran Yogyakarta.

. Fadlil, A., “Pengenalan Tulisan Tangan Dinamis Berbasis Jaringan Syaraf Tiruan”, Jurnal TELKOMNIKA, Teknik Elektro, Universitas Ahmad Dahlan, Yogyakarta, Vol.2 No.2 Agustus 2004.

. Suhardi, I., “Analisis Hubungan Tingkat Pengenalan Pola dengan Tingkat Variasi Pola: Studi Kasus Pengenalan Pola Karakter Huruf Dengan Jaringan Syaraf Tiruan”, Jurnal TELKOMNIKA, Teknik Elektro, Universitas Ahmad Dahlan, Yogyakarta, Vol.3 No.1 April 2005.

. Setiawan, N.A., “Diagnosis Gangguan Permulaan Transformator Daya Dengan Jaringan Syaraf Tiruan”, Jurnal TELKOMNIKA, Teknik Elektro, Universitas Ahmad Dahlan, Yogyakarta, Vol.3 No.3 Desember 2005.

. Desiani, A., “Kajian Pengenalan Wajah Dengan Menggunakan Metode Face-Arg dan Jaringan Syaraf Tiruan”, Jurnal Media Informatika Vol. 5, No. 2, Desember 2007, 99-111

. Suteja, R. B., “Penerapan Jaringan Saraf Tiruan Propagasi Balik Studi Kasus Pengenalan Jenis Kopi”, Jurnal Informatika, Vol 3, No1, Juni 2007, 49-62.

. Wang, X., and Xu J., “The Model of Teaching Quality Evaluation Based on BP Neural Nteworks and Its Aplication”, First International Workshop on Education Tehnology and Computer Science, 2009, 916-919.




DOI: http://doi.org/10.12928/telkomnika.v7i3.594

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