Financial Distress Prediction in Indonesia Stock Exchange's Listed Company Using Case Based Reasoning Concept

Dyah Sulistyowati Rahayu, Heru Suhartanto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Predict financial distress is an important thing for investor's need to decide whether should put the capital or not. The earning's performance is one of the sign of the distress. Case based reasoning is implementing the highest level of data similarity in its concept. The algorithm should be supported by huge data. This is in line with the Indonesia Stock Exchange's data that has not been maximally utilized. This CBR algorithm can be used to assess the financial company performance in order to make the right investment decision. The ability of this algorithm to do the prediction is showed by the accuracy result of 82%. This research also confirmed that the complete CBR system improves all of the evaluation scoring.

Original languageEnglish
Title of host publication2020 IEEE 7th International Conference on Industrial Engineering and Applications, ICIEA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1009-1013
Number of pages5
ISBN (Electronic)9781728167855
DOIs
Publication statusPublished - Apr 2020
Event7th IEEE International Conference on Industrial Engineering and Applications, ICIEA 2020 - Bangkok, Thailand
Duration: 16 Apr 202021 Apr 2020

Publication series

Name2020 IEEE 7th International Conference on Industrial Engineering and Applications, ICIEA 2020

Conference

Conference7th IEEE International Conference on Industrial Engineering and Applications, ICIEA 2020
Country/TerritoryThailand
CityBangkok
Period16/04/2021/04/20

Keywords

  • case based reasoning
  • company
  • earning's performance
  • financial distress
  • prediction

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