1 Citation (Scopus)

Abstract

Knowledge base systems have undergone many developments in providing similar results to experts. This can help increase time effectiveness in determining decisions and analysis results. Several methods have given good results in determining decisions based on knowledge, one of which is using a decision tree. In this study, the researchers applied decision tree modeling to determine the results of the review on ethical research protocols. Our target is to classify ethical protocols into one of three decisions: Exempted, Expedited, or Full Board. Three decision tree models are used in this research to evaluate the best results that can predict the ethical review protocol results according to the expert's dataset. The experiments showed that all models showed the same result, with an accuracy value of 0,91, precision of 0,93, and recall of 0,91. However, manual checking showed that the second model with Gini criteria parameters and class weight balance resulted in 10 data correctly predicted based on the dataset used.

Original languageEnglish
Title of host publicationProceeding - IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages50-55
Number of pages6
ISBN (Electronic)9781665460309
DOIs
Publication statusPublished - 2022
Event11th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022 - Solo, Indonesia
Duration: 3 Nov 20225 Nov 2022

Publication series

NameProceeding - IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022

Conference

Conference11th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022
Country/TerritoryIndonesia
CitySolo
Period3/11/225/11/22

Keywords

  • decision tree
  • ethics protocol
  • knowledge-based system

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