Prediksi Indeks Standar Pencemar Udara Menggunakan Metode Support Vector Regression Berbasis Web (studi Kasus Pada Dki Jakarta)
DOI:
https://doi.org/10.34818/eoe.v9i3.18154Abstrak
aReferensi
[1] P. D. Landge and R. R. Harne, “Air Quality
Monitoring System for City : A Review,” Int. Res. J.
Eng. Technol., vol. 5, no. 1, pp. 5–6, 2018,
[Online]. Available:
https://www.irjet.net/archives/V5/i1/IRJETV5I1110.pdf.
[2] D. Basak, S. Pal, and D. C. Patranabis, “Support
vector regression,” Neural Inf. Process. – Lett.
Rev., vol. Vol. 11, no. 10, pp. 203–224, 2007, doi:
10.1145/2768566.2768568.
[3] A. L. Samuel, “Eight-move opening utilizing
generalization learning. (See Appendix B, Game G43.1 Some Studies in Machine Learning Using the
Game of Checkers,” IBM J., pp. 210–229, 1959.
[4] W. Apt, “Introduction,” Demogr. Res.
Monogr., pp. 1–13, 2014, doi: 10.1007/978-94-007-
6964-9_1.
[5] S. Kavitha, S. Varuna, and R. Ramya, “A
comparative analysis on linear regression and
support vector regression,” Proc. 2016 Online Int.
Conf. Green Eng. Technol. IC-GET 2016, 2017,
doi: 10.1109/GET.2016.7916627.
[6] S. P. Neill and M. R. Hashemi, Ocean Modelling for
Resource Characterization. 2018.
[7] V. N. Vapnik, “The Nature of Statistical Learning,”
Theory. p. 334, 1995, [Online]. Available:
https://ci.nii.ac.jp/naid/10020951890.
[8] D. Tomar, “Prediction of Profitability of Industries
using Weighted SVR,” vol. 3, no. 5, pp. 1938–1944,
1938.
[9] P. Cortez and A. Morais, “A Data Mining Approach
to Predict Forest Fires using Meteorological Data,”
Proc. 13th Port. Conf. Artif. Intell., pp. 512–523,
2007, [Online]. Available:
http://www.dsi.uminho.pt/~pcortez/fires.pdf.
[10] D. Nguyen, “Learning Data Science — Predict
Stock Price with Support Vector Regression (SVR),”
ITNEXT, 2019. https://itnext.io/learning-datascience-predict-stock-price-with-support-vectorregression- svr-2c4fdc36662 (accessed Jan. 19,
2022).
[11] Q. Huang, J. Mao, and Y. Liu, “An improved grid
search algorithm of SVR parameters optimization,”
Int. Conf. Commun. Technol. Proceedings, ICCT,
no. 2, pp. 1022–1026, 2012, doi:
10.1109/ICCT.2012.6511415.
