Company clustering based on financial report data using k-means

Stock investment is the act of providing funds or assets to obtain future payments for gifts given. In its application, novice investors often make mistakes, one of which is not knowing the health condition of the company they want to target. By applying the machine learning clustering method based on company financial report data, it was found that 2 clusters were formed. This can show the current condition of the company so that it can be a consideration for investors, such as clusters of companies that have a profit trend that is always stable and increasing, or clusters of companies that are in the process of developing their business and groups of companies that have large amounts of debt from year to year.

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Publication Details

Journal
Computer Science and Information Technologies
Published
2024-10-23
DOI
https://doi.org/10.11591/csit.v5i3.p243-253
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
0.00

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article

Company clustering based on financial report data using k-means

Lili Ayu Wulandhari, Gusti Aditya Aromatica Firdaus
Computer Science and Information Technologies
Customer churn and segmentation
article

Company clustering based on financial report data using k-means

Lili Ayu Wulandhari, Gusti Aditya Aromatica Firdaus
article en

Abstract

Stock investment is the act of providing funds or assets to obtain future payments for gifts given. In its application, novice investors often make mistakes, one of which is not knowing the health condition of the company they want to target. By applying the machine learning clustering method based on company financial report data, it was found that 2 clusters were formed. This can show the current condition of the company so that it can be a consideration for investors, such as clusters of companies that have a profit trend that is always stable and increasing, or clusters of companies that are in the process of developing their business and groups of companies that have large amounts of debt from year to year.

Computer Science and Information TechnologiesVol. 5(3)
Binus University (ID)
Binus University
Openalex Percentile: Top 73%
Customer churn and segmentation
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