Stock Price Prediction of PT. Kimia Farma, Tbk Using Bayesian Ridge Algorithm

Aldy Mercyano Iqbal, Indra Tresna Setiadi, Aditya Dhian Pratama, Imelda Imelda

Abstract


Stocks are proof of ownership of capital/funds in the company, a paper that clearly states the nominal value, and company name and is followed by an explanation of the rights and obligations to each shareholder, enough shares to be sold. Many companies from various sectors market their shares, one of which is PT. Kimia Farma, Tbk. This study aims to determine the performance of the Bayesian Ridge Regression algorithm to predict the closing price of PT Kimia Farma, Tbk's stock price. The data for these stocks was collected through the website id.investing.com with a data period of 2015 - 2022. Based on the test results, the Bayesian Ridge Regression algorithm can be used to predict stock prices with a good value where the R2 value is 0.9968 and RMSE value of 49.199 when modelling, R2 value is 0.9972 and RSME value is 45.400 when testing with new/testing data.


Keywords


Stock Prediction, PT Kimia Farma, Tbk., Bayesian Ridge Regression

Full Text:

PDF

References


Abraham, A., dan A. K. Tyagi. Data Science for Genomics. Elsevier Science, 2022.

Ali, M. “PyCaret,” 2020. https://pycaret.readthedocs.io/en/stable/api/regression.html?highlight=tune_model#pycaret.regression.tune_model.

———. “PyCaret: An Open Source, Low-Code Machine Learning Library in Python.” PYCARET, 2020. https://www.pycaret.org.

Bell, J. Machine Learning - Hands-On for Developers and Technical Professionals. New Jersey: Wiley, 2020.

Cannataro, M., P. H. Guzzi, G. Agapito, C. Zucco, dan M. Milano. Artificial Intelligence in Bioinformatics - From Omics Analysis to Deep Learning and Network Mining. Elsevier Science, 2022.

Fakhruddin, H. M. Go Public. Jakarta: Elex Media Komputindo, 2013.

George, N. Practical Data Science with Python - Learn Tools and Techniques from Hands-on Examples to Extract Insights from Data. Birmingham: Packt Publishing, 2021.

Handini, S. Buku Ajar : Manajemen Keuangan. Surabaya: Scopindo Media Pustaka, 2020.

Haw, S. C., dan K. S. Muthu. Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022). Atlantis Press, 2022.

Radecic, D. Machine Learning Automation with TPOT - Build, Validate, and Deploy Fully Automated Machine Learning Models with Python. Birmingham: Packt Publishing, 2021.

Setianto, B. Saham-Saham Industri Consumer Goods di BEI per Laporan Keuangan Q4 2018. BSK Capital, 2019.

Spillane, James J. Ekonomi Farmasi. Jakarta: Grasindo, t.t.

Tambunan, A. P. Menilai Harga Wajar Saham. Jakarta: Elex Media Komputindo, 2008.

Xiao, P. Artificial Intelligence Programming with Python. New Jersey: Wiley, 2022.




DOI: http://dx.doi.org/10.35931/aq.v17i3.2222

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan

Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan

index by:

              

Publish by:

Sekolah Tinggi Ilmu Al-Qur'an Amuntai

Contact us:

Address: Jl. Rakha Pakapuran, Amuntai Utara
Kabupaten : Hulu Sungai Utara
Kode Pos : 71471
Provinsi : Kalimantan Selatan
Telephone : 085251613000
Email: hafizhihusinsungkar@gmail.com

 

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.