Implementation of the Backpropagation Method to Predict the Percentage of Women as Professionals on the Island of Sumatra
DOI:
https://doi.org/10.35335/computational.v11i2.5Keywords:
Artificial Neural Network, Backpropagation, Performance, ProfessionalAbstract
This study aims to obtain information on the best algorithm from the two algorithms that will be compared based on the smallest/lowest performance value or MSE value, which can later be used as a reference and information for solving women's problems as professional workers on the island of Sumatra. The data used in this study are women as professional workers (percent) 2012-2021 at the Central Statistics Agency (BPS). The algorithm used is Backpropagation Neural Network. Data analysis was carried out using the Artificial Neural Network method using Matlab R2011b(7.13) software. In this review, 5 structural models were used, namely: 4-10-1, 4-15-1, 4-20-1, 4-25-1, 4-30-1, out of five models.
References
Andrijasa, M. F., & Mistianingsih, M. (2016). Penerapan Jaringan Syaraf Tiruan Untuk Memprediksi Jumlah Pengangguran di Provinsi Kalimantan Timur Dengan Menggunakan Algoritma Pembelajaran Backpropagation. Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer, 5(1), 50–54.
Anker, R. (1983). Female Labour Force Participation in Developing Countries: A Critique of Current Definitions and Data Collection Methods. International Labour Review, 122.
Bhutta, Z. A., Darmstadt, G. L., Hasan, B. S., & Haws, R. A. (2005). Community-based interventions for improving perinatal and neonatal health outcomes in developing countries: a review of the evidence. Pediatrics, 115(Supplement_2), 519–617.
Cynthia, E. P., & Ismanto, E. (2017). Jaringan syaraf tiruan algoritma backpropagation dalam memprediksi ketersediaan komoditi pangan provinsi riau. Rabit: Jurnal Teknologi Dan Sistem Informasi Univrab, 2(2), 83–98.
Devireddy, S. K., & Rao, S. A. (2009). HAND WRITTEN CHARACTER RECOGNITION USING BACK PROPAGATION NETWORK. Journal of Theoretical & Applied Information Technology, 5(3).
Dutton, J. E., Ashford, S. J., O’neill, R. M., Hayes, E., & Wierba, E. E. (1997). Reading the wind: How middle managers assess the context for selling issues to top managers. Strategic Management Journal, 18(5), 407–423.
Hung, A., Yoong, J., & Brown, E. (2012). Empowering women through financial awareness and education.
Kar, S. B., Pascual, C. A., & Chickering, K. L. (1999). Empowerment of women for health promotion: a meta-analysis. Social Science & Medicine, 49(11), 1431–1460.
Kelly, J. (n.d.). Women, History, and Theory: The Essays of Joan Kelly - Joan Kelly - Google Buku.
Mochammad Haldi Widianto. (2021). Analisis Performa Algoritma Backpropagation Jaringan Syaraf Tiruan | BINUS UNIVERSITY BANDUNG - Kampus Teknologi Kreatif. 1 April.
Nasution, Y. S. J., Syahriza, R., & Marliyah. (2020). Analisis Partisipasi Tenaga Kerja Perempuan dalam Pemenuhan Kesejahteraan Keluarga di PTKIN seSumatera. Kafaah: Journal of Gender …, 10(2), 145–158.
Oh, D.-Y., Buda, S., Biere, B., Reiche, J., Schlosser, F., Duwe, S., Wedde, M., von Kleist, M., Mielke, M., & Wolff, T. (2021). Trends in respiratory virus circulation following COVID-19-targeted nonpharmaceutical interventions in Germany, January-September 2020: Analysis of national surveillance data. The Lancet Regional Health-Europe, 6, 100112.
Sururi, S. (2002). Meningkatkan Profesionalisasi Guru Dan Kepala Sekolah. Meningkatkan Profesionalisasi Guru Dan Kepala Sekolah, 11.
Thomas, J., & Harden, A. (2008). Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Medical Research Methodology, 8(1), 1–10.
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