PREDIKSI HARGA CRYPTOCURRENCY DENGAN METODE K-NEAREST NEIGHBOURS

Authors

  • Haerul Fatah Program Pascasarjana Magister Ilmu Komputer STMIK Nusa Mandiri
  • Agus Subekti Pusat Penelitian Elektronika dan Telekomunikasi Lembaga Ilmu Pengetahuan Indonesia (LIPI)

DOI:

https://doi.org/10.33480/pilar.v14i2.30

Keywords:

Cryptocurrency, Bitcoin, K-Nearest Neighbours

Abstract

Electronic money is getting more popular as online transaction means among people especially for entrepreneurs, businessmen and investors due to its practicality. Cryptocurrency emerges as the solution to resolve the contrains of electronic money that depends heavily on third parties. One of widely used Cryptocurrency is  Bitcoin. The price of bitcoin fluctuates in very short duration. It is similar with the fluctuation of stock price in stock market. Prediction for future price becomes important anad interesting. In this paper, we propose a prediction model for cryptocurrency price. Out proposed model predict the cryptocurreny price using KNN (K-Nearest Neighbors) method. With the parameter of k=3 and using linear NN search algorithm, out proposed method gives a mean absolute error (MAE) of 0.0018 and root mean squared error (RMSE) of 0.0089.

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References

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Published

2018-09-15

How to Cite

Fatah, H., & Subekti, A. (2018). PREDIKSI HARGA CRYPTOCURRENCY DENGAN METODE K-NEAREST NEIGHBOURS. Jurnal Pilar Nusa Mandiri, 14(2), 137–144. https://doi.org/10.33480/pilar.v14i2.30

Issue

Vol. 14 No. 2 (2018): Pilar Nusa Mandiri : Journal of Computing and Information System Periode September 2018

Section

Articles

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