Implementation Of Secos Algorithm In Forecasting Gold Prices To Improve Business Intelligence Using Mse Accuracy Value Measurement
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Published:
Aug 30, 2021
Keywords:
Secos Algorithm, Business Intelligence, Value Measurement, Parameters, Layer
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Computer Science
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Abstract
SECOS is one of the artificial neural networks that can be used in this study to make a prediction or forecasting of gold prices. This research will produce a combination of parameters, namely learning rate 1, learning rate 2, error threshold that will be carried out on the system then in the training process the data is quite influential on the resulting error value. From the results of the combination of parameters and testing with the SeCos algorithm shown in Figure 4.2, the smallest error value at layer 3 is 54262,375, which is obtained from the learning rate 1 parameter is 0.5, learning rate 2 is 1, learning rate 3 is 1.5. while the largest error value is 46023.9375. The results of the SECOS algorithm in forecasting the gold price can run well, which shows that the model from the implemented training and testing data can predict gold prices.
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Purba, M. A. B., Lase, K. ., Sembiring, A. I. S. ., Panjaitan, L. M. . and Putra, A. Z. . (2021) “Implementation Of Secos Algorithm In Forecasting Gold Prices To Improve Business Intelligence Using Mse Accuracy Value Measurement”, Jurnal Mantik, 5(2), pp. 1259-1265. Available at: https://iocscience.org/ejournal/index.php/mantik/article/view/1527 (Accessed: 17April2026).
References
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Kasabov, N. (2007). Evolving connectionist systems: The knowledge engineering approach. In Evolving Connectionist Systems: The Knowledge Engineering Approach (Second edition) (Issue January 2007). https://doi.org/10.1007/978-1-84628-347-5
Sari, Y. (2018). Gold Price Prediction Using Neural Network Backropagation Method Conjugate Gradient Algorithm. Journal of ELTIKOM, 1(2), 64–70. https://doi.org/10.31961/eltikom.v1i2.21
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Watts, M. (2014). Evolving Connectionist Systems can predict outbreaks of the aphid Rhopalosiphum padi. Proceedings of the International Joint Conference on Neural Networks, July, 646–650. https://doi.org/10.1109/IJCNN.2014.6889755
Watts, M., & Kasabov, N. (2002). Evolutionary optimization of evolving connectionist systems. Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002, 1(June 2014), 606–610. https://doi.org/10.1109/CEC.2002.1006995
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Putra, S. A. (2021). Effect Of Placement And Work Environment On Work Discipline And Their Impact On Performance Of Employee Office Jati Karya Village, Binjai City. Jurnal Ekonomi LLDIKTI Wilayah 1 (JUKET), 1(1), 1–4
Ginting, E. S., & Apren Halomoan Hutasoit. (2021). Understanding the Use of Information Technology as a Supporting Media for Student Learning at SMK Negeri 1 Lubuk Pakam. Jurnal Mantik, 4(4), 2449-2452. https://doi.org/10.35335/mantik.Vol4.2021.1179.pp2449-2452
Susanti, M., & Samara, A. . (2021). Analysis of profitability, leverage, liquidity, and activity of financial distress basic study of chemical sub sector industry listed on BEI. Jurnal Ekonomi LLDIKTI Wilayah 1 (JUKET), 1(1), 5–13
Ginting, E. S., & Hutasoit, A. H. (2021). FACTORS AFFECTING STUDENTS’THESIS COMPLETION ON DEPARTMENT OF MANAGEMENT STIE MIKROSKIL. JURNAL TARBIYAH, 27(2).
Wau, M. (2021). The influence of dividend policy on the performance of mining companies: corporate governance as a moderating variable. Jurnal Ekonomi LLDIKTI Wilayah 1 (JUKET), 1(1), 14–17
Dalimunthe, M. (2021). The Effect of Information Technology Utilization and Information System User Participation on System Performance Payroll . Jurnal Ekonomi LLDIKTI Wilayah 1 (JUKET), 1(1), 18–25
Firmansyah, F. (2021). Influence of product quality, price, and promotion on purchase decision of Philips Products. Jurnal Ekonomi LLDIKTI Wilayah 1 (JUKET), 1(1), 26–36
Al-Khowarizmi, Nasution, I. R., Lubis, M., & Lubis, A. R. (2020). The effect of a secos in crude palm oil forecasting to improve business intelligence. Bulletin of Electrical Engineering and Informatics, 9(4), 1604–1611. https://doi.org/10.11591/eei.v9i4.2388
Andriyanto, T. (2017). Antam's Gold Price Forecasting System Using Double Exponential Smoothing. Intensive, 1(1), 1. https://doi.org/10.29407/intensif.v1i1.531
Kasabov, N. (2007). Evolving connectionist systems: The knowledge engineering approach. In Evolving Connectionist Systems: The Knowledge Engineering Approach (Second edition) (Issue January 2007). https://doi.org/10.1007/978-1-84628-347-5
Sari, Y. (2018). Gold Price Prediction Using Neural Network Backropagation Method Conjugate Gradient Algorithm. Journal of ELTIKOM, 1(2), 64–70. https://doi.org/10.31961/eltikom.v1i2.21
Watts, M. (2009). A decade of Kasabov's evolving connectionist systems: A review. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 39(3), 253–269. https://doi.org/10.1109/TSMCC.2008.2012254
Watts, M. (2014). Evolving Connectionist Systems can predict outbreaks of the aphid Rhopalosiphum padi. Proceedings of the International Joint Conference on Neural Networks, July, 646–650. https://doi.org/10.1109/IJCNN.2014.6889755
Watts, M., & Kasabov, N. (2002). Evolutionary optimization of evolving connectionist systems. Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002, 1(June 2014), 606–610. https://doi.org/10.1109/CEC.2002.1006995
Tigor, M. . . (2020). Bagaimana Menyatakan Permasalahan Riset (Research Problem/Problem Statement)?. Rudang Mayang Publisher, 1(1), 1-2
E. S. Ginting, “Ratio-Based Financial Performance Analysis of PT. Mustika Ratu, Tbk”, enrichment, vol. 11, no. 2, pp. 456-462, May 2021.
Tigor, M. . (2021). The Influence of Parental Leadership Type on Socialization Process in Namorambe Junior High School Students. Jurnal Pendidikan LLDIKTI Wilayah 1 (JUDIK), 1(1), 1–7.
Ginting, E. S., Apren Halomoan Hutasoit, & Naca Warsinangin. (2021). North Sumatra Economic Growth Analysis. Jurnal Mantik, 5(1), 184-190. https://doi.org/10.35335/mantik.Vol5.2021.1297.pp184-190
Nasution, F. M. (2021). Manufacture and Characterization of Pineapple Leaf Fiber Composite Board With Polypropylene Adhesive. Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA), 1(1), 15–19.
Ginting, E. S. ., Lubis, T. W. H. ., & Pertiwi, S. . (2021). Kiat Menghadapi Tantangan Pembelajaran Daring Di Masa Pandemi Covid-19. TRIDARMA: Pengabdian Kepada Masyarakat (PkM), 4(1), 35-43. Retrieved from http://iocscience.org/ejournal/index.php/abdimas/article/view/1286
Putra, S. A. (2021). Effect Of Placement And Work Environment On Work Discipline And Their Impact On Performance Of Employee Office Jati Karya Village, Binjai City. Jurnal Ekonomi LLDIKTI Wilayah 1 (JUKET), 1(1), 1–4
Ginting, E. S., & Apren Halomoan Hutasoit. (2021). Understanding the Use of Information Technology as a Supporting Media for Student Learning at SMK Negeri 1 Lubuk Pakam. Jurnal Mantik, 4(4), 2449-2452. https://doi.org/10.35335/mantik.Vol4.2021.1179.pp2449-2452
Susanti, M., & Samara, A. . (2021). Analysis of profitability, leverage, liquidity, and activity of financial distress basic study of chemical sub sector industry listed on BEI. Jurnal Ekonomi LLDIKTI Wilayah 1 (JUKET), 1(1), 5–13
Ginting, E. S., & Hutasoit, A. H. (2021). FACTORS AFFECTING STUDENTS’THESIS COMPLETION ON DEPARTMENT OF MANAGEMENT STIE MIKROSKIL. JURNAL TARBIYAH, 27(2).
Wau, M. (2021). The influence of dividend policy on the performance of mining companies: corporate governance as a moderating variable. Jurnal Ekonomi LLDIKTI Wilayah 1 (JUKET), 1(1), 14–17
Dalimunthe, M. (2021). The Effect of Information Technology Utilization and Information System User Participation on System Performance Payroll . Jurnal Ekonomi LLDIKTI Wilayah 1 (JUKET), 1(1), 18–25
Firmansyah, F. (2021). Influence of product quality, price, and promotion on purchase decision of Philips Products. Jurnal Ekonomi LLDIKTI Wilayah 1 (JUKET), 1(1), 26–36
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