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All Journal Journal of Informatics and Advanced Computing
Julyani, Dian Rizky
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Computer Science & IT

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Perbandingan Metode Decision Tree dan Naive Bayes untuk Memprediksi Thyroid Cancer Recurrence Hafizd, Fidya; Julyani, Dian Rizky; Yuliza, Hasna; Agustine, Emely Nemy; Surbakti, Kessya Immanuella; Paryudi, Iman
Journal of Informatics and Advanced Computing (JIAC) Vol 5 No 1 (2024): Journal of Informatics and Advanced Computing (JIAC)
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v5i1.7198

Abstract

Abstract – This study aims to predict thyroid cancer recurrence by comparing two data mining methods, namely Decision Tree and Naive Bayes. The data used is classification data that has gone through preprocessing and modeling processes, then tested using test and score tests on analysis software called Orange. By using Orange as an analysis tool, experiments were conducted to determine which method gave the best accuracy. The results show that the two methods have different accuracy comparisons in predicting thyroid cancer recurrence. This research is expected to help in identifying symptoms that are at high risk of causing thyroid cancer recurrence and provide valuable insights in data analysis.
Co-Authors Agustine, Emely Nemy Hafizd, Fidya Paryudi, Iman Surbakti, Kessya Immanuella Yuliza, Hasna