The Artificial Neural Network Predicts The Number Of Smart Indonesian Card Recipients Using The Backpropagation Algorithm
DOI:
https://doi.org/10.55227/ijhet.v1i3.43Keywords:
Backpropagation, Artificial Neural Networks, Smart Indonesia Card.Abstract
The Smart Indonesia Card is a form of implementing the Smart Indonesia Program which is the flagship program of President Joko Widodo. The Smart Indonesia Card program supports the realization of the 9-year compulsory education program for basic education and universal secondary education or 12-year compulsory education. However, in essence, in processing the Smart Indonesia Card, errors still occur in predicting the needs of students who really need the assistance. Unpredictable gifts include students per department. In dealing with the provision of Indonesia Smart Card assistance, predictions are needed in the distribution of funds so that the distribution can be carried out evenly according to students who need the Indonesia Smart Card funds.
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References
Astuti, R. S. (2016). Implementasi Kebijakan Kartu Indonesia Pintar Dalam Upaya Pemerataan Pendidikan Tahun Ajaran 2015/2016 Di Smp Negeri 1 Semin. Universitas Negeri Yogyakarta:Filsafat Dan Sosiologi Pendidikan.
Budi Santosa. (2007). Data Mining Teknik Pemanfaatan Data untuk Keperluan Bisnis. Graha Ilmu.
Herdianto. (2017). Prediksi Kerusakan Motor Induksi Menggunakan Metode Jaringan Saraf Tiruan Backpropagation.
Kusumadewi Sri. (2004). Membangun Jaringan Syaraf Tiruan Menggunakan Matlab Dan Excel Link. Graha Ilmu.
Putri, P. M., Monika, D., & Apriliani, L. (2019). Model Jaringan Syaraf Tiruan Dalam Memprediksi Jumlah Indonesia. 13(2), 107–117.
Rahmadani, F., & Pardede, A. M. H. (2021). Barang Menggunakan Metode Backpropagation ( Studi Kasus : Kantor Pos Binjai ). 5(1), 100–106.
Siang, jong jek. (2005). Jaringan Syaraf Tiruan & Pemogramannya menggunakan MATLAB. Ikrar mandiriabakti.
Solikhun, M. W. (2020). Jaringan Saraf Tiruan Backpropagation Pengenalan Pola Calon Debitur. Yayasan Kita Menulis.
