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All Journal JINAV: Journal of Information and Visualization
Muh Fitra Nur Asri
Information System Postgraduate School, Diponegoro University, Semarang, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science Mathematics

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Trend Analysis of The Effect of LQ45 Stocks on Stock Price Index Fluctuations using the C4.5 Algorithm with Correlation-Based Feature Selection and Information Gain Muh Fitra Nur Asri; Catur Edi Widodo; Eko Sediyono
JINAV: Journal of Information and Visualization Vol. 4 No. 2 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav1836

Abstract

The research was conducted to reveal the effect of LQ45 stock on the accuracy of stock price index fluctuations using the C4.5 algorithm with Correlation-Based Feature Selection (CFS) and Information Gain (IG) techniques. This study used the superior C4.5 algorithm using a combination feature selection technique between Correlation-based Feature Selection (CFS) and Information Gain in the hope of getting accurate results. Analysis conducted on the LQ45 index through various stages that include data collection, manual pre-processing, validation methods, process features, decision tree model result, and classification accuracy performance. The result of test revealed that the implementation of the C4.5 algorithm using correlation-based feature selection (CFS) and information gain techniques can be applied well to LQ45 stocks. The accuracy generated from the original data (without the selection feature) was 77.857%, while the addition of features to the combination of Correlation-Based Feature Selection (CFS) and Information Gain had a large influence on the results of increasing data accuracy from the accuracy of the original data by 77.857% to 78.333%. Thus, the C4.5 calculation process with the Correlation-based Feature Selection (CFS) feature selection technique alone cannot improve the accuracy level, while when combined with the Information Gain technique, the accuracy processing results will be better (higher).
Co-Authors Catur Edi Widodo Eko Sediyono