Sistem Diagnosis Penyakit Hipokalemia menggunakan Gabungan Metode Forward Chaining dan Certainty Factor
DOI:
https://doi.org/10.35870/jtik.v5i2.180Keywords:
Forward Chaining, Diagnosis, Hypokalemia, Certainty Factor, Expert SystemAbstract
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.
Downloads
References
Widjajanti, A. and Agustini, S.M., 2018. Hipokalemik Periodik Paralisis. Indonesian Journal of Clinical Pathology and Medical Laboratory, 12(1), pp.19-22.
Nathania, M., 2019. Hipokalemia–Diagnosis dan Tatalaksana. Cermin Dunia Kedokteran, 46(2), pp.103-108.
Pulungan, Wahyu Alfandry, and Dwini Medelfii., 2020. Sistem Pakar Menentukan Penyakit Ginjal dengan Metode Forward Chaining. 9(1).
Arfida, S. and Soleh, M., 2019. Sistem Pendiagnosa Penyakit Hipokalemia Menggunakan Metode Fuzzy Inference System Tsukamoto Berbasis Android. JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer), 11(1), pp.1-10.
Toscany, A.N. and Siswanto, A., 2019. Perancangan Aplikasi Berbasis Android Untuk Diagnosis Penyakit Ginjal Menggunakan Metode Forward Chaining. Indonesian Journal of Computer Science, 8(1), pp.22-35.
Setiawan, A., 2017, November. Analisa Dan Perancangan Sistem Pakar Mendiagnosa Penyakit Ginjal Dengan Menggunakan Metode Certainty Factor. In Seminar Nasional Informatika (SNIf) (Vol. 1, No. 1, pp. 683-689).
Sutojo, T., Mulyanto, E. and Suhartono, V., 2011. Kecerdasan Buatan. Yogyakarta: Andi.
Marselia, M., 2018. Perancangan Sistem Pakar Untuk Diagnosis Penyakit Ginjal Dengan Metode Certainty Factor dan Forward Chaining. Jurnal Sistem Cerdas, 1(2), pp.40-50.
Astuti, A.P., 2017. Sistem pakar untuk mendiagnosa penyakit ginjal dengan metode forward chaining menggunakan certainty factor. Jati (Jurnal Mahasiswa Teknik Informatika), 1(1), pp.485-491.
Alamsyah, A.P.D., 2019. Sistem Pakar Diagnosa Penyakit Ginjal Menggunakan Metode Forward Chaining Berbasis Android. International Journal of Artificial Intelligence, 6(1), pp.53-74.
Haryati, D., 2016. Sistem Pakar Diagnosa Penyakit Ginjal Menggunakan Metode Forward Chaining Dan Metode Teorema Bayes (Doctoral dissertation, Universitas Malikussaleh).
Fleaih, L.R., 2015. Expert system for Diagnosing Kidney diseases. International Journal Of Computers & Technology, 14(3), pp.5517-5528.
Pratiwi, H., 2019. Buku Ajar: Sistem Pakar. Goresan Pena.
Sumijan, S. and Santony, J., 2020. Akurasi dalam Mendeteksi Penyakit Kulit Menular menggunakan gabungan Metode Forward Chaining dengan Certainty Factor. Jurnal Teknologi Dan Sistem Informasi Bisnis, 2(2), pp.200-210.
Kahan, S., 2008. Signs and Symptoms. Lippincott Williams & Wilkins.
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.
