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Huan Wendy Ariono
Fakultas Komunikasi dan Informatika; Universitas Muhammadiyah Surakarta
Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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Sistem Pakar Pengklasifikasi Stadium Kanker Serviks Berbasis Mobile Menggunakan Metode Decision Tree Maryam Maryam; Huan Wendy Ariono
Jurnal Kajian Ilmiah Vol. 22 No. 3 (2022): September 2022
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (536.832 KB) | DOI: 10.31599/jki.v22i3.1368

Abstract

World Cancer Observation states that in Indonesia cervical cancer ranks second with a total of 9.2% of all cancer cases, which is cervical cancer which continues to increase in percentage every year due to the addition of new cases. It is important for the public to be aware of the symptoms that arise from cervical cancer. Lack of knowledge about cervical cancer from an early age increases the risk of death. This is because the patient knows cervical cancer when it is at an advanced stage. So it is important to know the symptoms of cervical cancer sufferers and their stage level in order to get the appropriate treatment. This study aims to create an expert system that can help the public know the classification of cervical cancer stages. The method used to develop an expert system is the Decision Tree method. One of the decision analysis techniques and classification methods in data mining. The classification process uses 200 records of cervical cancer patients with 12 symptoms as a reference. The Decision Tree method used has an accuracy value of 85.50%, recall 85.40%, and precision 86.74%. The expert system was developed using the flutter framework. The results of the study are in the form of an expert system mobile application that has been black box tested which is declared valid. This system can help the public know the diagnosis results from the symptoms experienced and the stage level accurately to apply the appropriate treatment.
Co-Authors Maryam