Published: 2021-06-30
Sistem Diagnosis Penyakit Hipokalemia menggunakan Gabungan Metode Forward Chaining dan Certainty Factor
DOI: 10.35870/jtik.v5i2.180
Angga Pratama Surya, Fauziah Fauziah, Nurhayati Nurhayati
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Angga Pratama Surya:
Nasional University
- Fauziah Fauziah: Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional , Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional
- Nurhayati Nurhayati: Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional , Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional
Abstract
Hypokalemia can be a serious problem in humans which results in paralysis and causes death. This is caused by sufferers who are late in analyzing the symptoms and diseases. To facilitate. To speed up the process of diagnosis of these symptoms, an expert system can be done. This study aims for an initial diagnosis based on the symptoms experienced. This expert system can be used as a tool in making decisions. This study uses the method Forward Chaining and Certainty Factor (CF) to overcome the uncertainty of hypokalemia. The results of this expert system can help early diagnose hypokalemia, so that the disease can be treated as early as possible so as not to cause the disease to get worse in the future.
Keywords
Forward Chaining; Diagnosis; Hypokalemia; Certainty Factor; Expert System
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 5 No. 2 (2021)
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Section: Computer & Communication Science
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Published: 2021-06-30
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License: CC BY 4.0
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Copyright: © 2021 Authors
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DOI: 10.35870/jtik.v5i2.180
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No author biographies available.
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