CPU and eGPU Support System Based on Naive Bayes Classification
Mursyid Ardiansyah(1*), Wahyu Hidayat(2), Ema Utami(3), Suwanto Raharjo(4)
(1) AMIKOM University Yogyakarta
(2) AMIKOM University Yogyakarta
(3) AMIKOM University Yogyakarta
(4) IST AKPRIND Yogyakarta
(*) Corresponding Author
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[1] F. Wu, J. Chen, Y. Dong, W. Zheng, and X. Pan, “A Holistic Energy-Efficient Approach fora Processor-Memory System,” vol. 24, pp. 468–483, 2019. Available: https://ieeexplore.ieee.org/abstract/document/8660532. [Accessed: 27-Jan-2021]
[2] S. S. Hegna, “Design of efficient parallel algorithms for the TSP on multicore processors with shared memory,” no. February, 2019. Available: http://urn.nb.no/URN:NBN:no-71102. [Accessed: 27-Jan-2021]
[3] R. N. Perwiro Atmojo, Y. Lie, H. H. Muljo, U. M. Saputra, D. Christianto, and D. Trisaputra, “The ‘Voice of Customer’ Web Application at State-Owned Telecommunication Company,” Proc. 2018 Int. Conf. Inf. Manag. Technol. ICIMTech 2018, no. September, pp. 333–338, 2018. Available: https://ieeexplore.ieee.org/abstract/document/8528097/. [Accessed: 27-Jan-2021]
[4] J. D. Santoso, T. Komputer, F. I. Komputer, and C. Catur, “Analisis password crackcing mneggunakan gpu process,” vol. 3, no. 1, pp. 143–150, 2019. Available: http://e-jurnal.pelitanusantara.ac.id/index.php/mantik/article/view/602. [Accessed: 29-Apr-2021]
[5] N. Krisnaryatko and K. Ika, “Analisis Kinerja Keuangan Perusahaan dengan Du Pont System ( Studi Pada Nvidia Corporation dan Advanced Micro Devices , Inc,” J. Akuntansui Keuang. dan Bisnis Vol. 12, No. 2, Novemb. 2019, vol. 12, no. 2, pp. 77–86, 2019. Available: https://jurnal.pcr.ac.id/index.php/jakb/article/view/2547. [Accessed: 29-Apr-2021]
[6] D. T. Alamanda, A. Ramdhani, I. Kania, W. Susilawati, and E. S. Hadi, “Sentiment Analysis Using Text Mining of Indonesia Tourism Reviews via Social Media,” Int. J. Humanit. Arts Soc. Sci., vol. 5, no. 2, pp. 72–82, 2019. Available: http://kkgpublications.com/wp-content/uploads/2019/11/ijhss.5.10004-2.pdf. [Accessed: 27-Jan-2021]
[7] T. Retnasari, T. Prihatin, and M. Fikri, “A Determination of The Best Employees using Simple Additive Weighting (SAW) Method,” SinkrOn, vol. 4, no. 1, p. 106, 2019. Available: http://jurnal.polgan.ac.id/index.php/sinkron/article/view/10169. [Accessed: 27-Jan-2021]
[8] D. Krisbiantoro and W. M. Baihaqi, “the Implementation of Simple Additive Weighting Method in the Selection of Rehabilitation Fund Recipients for Uninhabitable Home,” Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 10, no. 1, pp. 309–318, 2019. Available: https://jurnal.umk.ac.id/index.php/simet/article/view/3023. [Accessed: 27-Jan-2021]
[9] Artan C. and T. Kaya, “Analysis of E-Government Strategies with Hesitant Fuzzy Linguistic Multi-Criteria Decision Making Techniques,” Intell. Fuzzy Tech. Big Data Anal. Decis. Mak., vol. 1029, pp. 313–321, 2019. Available: https://link.springer.com/chapter/10.1007/978-3-030-23756-1_126. [Accessed: 27-Jan-2021]
[10] A. Pataropura, R. Riki, and J. G. Manu, “Decision Support System for Selection of Assembly Using Profile Matching Method and Simple Additive Weighting Method (Case Study: GKIN Diaspora Church),” bit-Tech, vol. 2, no. 1, pp. 43–52, 2019. Available: http://jurnal.kdi.or.id/index.php/bt/article/view/100. [Accessed: 27-Jan-2021]
[11] J. Jahja, R. A. Hartono, and K. M. Suryaningrum, “Pemilihan Graphics Processing Unit Nvidia dan AMD Menggunakan Algoritma Simple Additive Weighting,” CogITo Smart J., vol. 6, no. 1, p. 25, 2020. Available: http://cogito.unklab.ac.id/index.php/cogito/article/view/197. [Accessed: 29-Apr-2021]
[12] A. Hikmat and A. Abdullah, “The Impact of Overclocking the CPU to the Genetic Algorithm,” Ijcsns, vol. 9, no. 5, p. 175, 2009. Available: http://eprints.utp.edu.my/793. [Accessed: 27-Jan-2021]
[13] F. Haswan, “Application of Simple Additive Weighting Method to Determine Outstanding School Principals,” SinkrOn, vol. 3, no. 2, p. 186, 2019. Available: http://jurnal.polgan.ac.id/index.php/sinkron/article/view/10082. [Accessed: 27-Jan-2021]
[14] L. Y. Bai et al., “Prediction of effective drug combinations by an improved naïve bayesian algorithm,” Int. J. Mol. Sci., vol. 19, no. 2, 2018. Available: https://www.mdpi.com/1422-0067/19/2/467. [Accessed: 27-Jan-2021]
[15] F. Tempola, M. Muhammad, and A. Khairan, “Perbandingan Klasifikasi Antara KNN dan Naive Bayes pada Penentuan Status Gunung Berapi dengan K-Fold Cross Validation,” J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 5, p. 577, 2018. https://jtiik.ub.ac.id/index.php/jtiik/article/view/983
[16] W. Gata et al., “Algorithm Implementations Naïve Bayes, Random Forest. C4.5 on Online Gaming for Learning Achievement Predictions,” vol. 258, no. Icream 2018, 2019. Available: https://www.atlantis-press.com/proceedings/icream-18/55914201. [Accessed: 27-Jan-2021]
[17] Y. Gultepe, “The Use of Data Mining Techniques in Heart Disease Prediction,” vol. 8, no. 4, pp. 136–141, 2019. Available: https://ieeexplore.ieee.org/document/7873142. [Accessed: 27-Jan-2021]
[18] Y. I. Kurniawan, “Perbandingan Algoritma Naive Bayes dan C.45 dalam Klasifikasi Data Mining,” J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 4, p. 455, 2018. Available: https://jtiik.ub.ac.id/index.php/jtiik/article/view/803. [Accessed: 29-Apr-2021]
[19] S. Kusumadewi, Fuzzy Multi-Attribute Decision Making (FUZZY MADM). Yogyakarta: Graha Ilmu, 2006. Available: http://journals.usm.ac.id/index.php/transformatika/article/view/441. [Accessed: 27-Jan-2021]
[20] M. K. K and K. P. Sankaranarayanan Seena, “Prediction of Different Dermatological Conditions Using Naïve Bayesian Classification,” Int. J. Adv. Res. Comput. Sci. Softw. Eng., vol. 4, no. 1, pp. 2277–128, 2014. Available: https://doi.org/10.1016/j.imu.2019.100202. [Accessed: 27-Jan-2021]
[21] M. Bramer, Principles of Data Mining. London: Springer, 2007.
[22] J. Han, M. Kamber, and J. Pei, Introduction. 2012.
[23] J. Sepúlveda and S. A. Velastín, “F1 score assesment of Gaussian mixture background subtraction algorithms using the MuHAVi dataset,” IET Semin. Dig., vol. 2015, no. 5, pp. 1–6, 2015. Available: https://digital-library.theiet.org/content/conferences/10.1049/ic.2015.0106. [Accessed: 27-Jan-2021]
DOI: https://doi.org/10.22146/ijccs.63689
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