Sistem Pakar Diagnosa Penyakit Pencernaan Pada Manusia Menggunakan Metode Forward Chaining


  • Ramdan Alfarisi Universitas Pamulang
  • Rengga Herdiansyah Universitas Pamulang


Cilograng District, Expert System, Digestive Diseases, Forward Chaining Method


Cilogram sub-district is a sub-district located at the southern end of Lebak Regency. With the condition of the distance that is far from the center of the district government, it results in less even distribution of health services to the community. In the world of health, we know that there are several diseases that have long been the concern of medics and health experts, because many people suffer from them and some even result in death, one of which is a disease of the digestive system. This disease is a dangerous disease because it is directly related to the organ system in the body such as the stomach, intestines, and other organs in the digestive system. Digestive diseases are one of the focus problems in the Cilograng sub-district because many people are affected due to lack of attention to food health and nutrition-related counseling to the community. With the following problems, a new breakthrough is needed to help people get information related to digestive diseases, namely the existence of an Expert System. Expert system is one of the sub-fields of Artificial Intelligence (AI) that adopts human knowledge to computers in order to solve problems as experts usually do (Suryadi, 1994). And to facilitate inference of symptoms so as to find new facts from the symptoms consulted, this expert system uses the forwerd chaining method which starts with a search for known facts, then matches these facts with the IF part of the IF-THEN rules. If there is a fact that matches the IF part, then the rule is executed.


Rayuwati Rayuwati and Amna Abdurrahman, “Desain Perancangan Sistem Pakar Diagnosa Penyakit Saluran Pernapasan Berbasis Web,” Pixel J. Ilm. Komput. Graf., vol. 14, no. 2, pp. 242–252, 2021, doi: 10.51903/pixel.v14i2.205.

I. Russari, “Sistem Pakar Diagnosa Penyakit Batu Ginjal Menggunakan Teorema Bayes,” J. Ris. Komput., vol. 3, pp. 18–22, 2016.

S. Rahmatullah and R. Mawarni, “Sistem Pakar Diagnosa Penyakit Kulit Pada Balita Menggunakan Metode Naive Bayes Dan Forward Chaining Studi Kasus Puskesmas Cempaka Sunkai Selatan,” vol. 9, no. 2, 2021.

I. S. M. - AMIK BSI Purwokerto and C. K. - AMIK BSI Pontianak, “Pengembangan Sistem Pakar Mendeteksi Penyakit Pencernaan Menggunakan Metode Naive Bayes Berbasis Web,” Evolusi J. Sains dan Manaj., vol. 6, no. 1, pp. 41–48, 2018, doi: 10.31294/evolusi.v6i1.3543.

F. A. Nugroho, “Perancangan Sistem Pakar Diagnosa Penyakit Jantung Dengan Metode Forward Chaining,” J. Inform. Univ. Pamulang, vol. 3, no. 2, pp. 75–79, 2018, doi: 10.37438/jimp.v1i2.21.

M. M. A. Saputra, “Sistem Pakar Diagnosis Penyakit Pencernaan pada Manusia Menggunakan Metode Certainty Factor,” J. Mhs. Tek. Inform., vol. 3, no. 1, pp. 181–188, 2019.

S. Murni and F. Riandari, “Penerapan Metode Teorema Bayes Pada Sistem Pakar Untuk Mendiagnosa Penyakit Lambung,” J. Teknol. dan Ilmu Komput. Prima, vol. 1, no. 2, pp. 1925, 2018, doi: 10.34012/jutikomp.v1i2.226.

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How to Cite

, R. A., & Rengga Herdiansyah. (2024). Sistem Pakar Diagnosa Penyakit Pencernaan Pada Manusia Menggunakan Metode Forward Chaining . OKTAL : Jurnal Ilmu Komputer Dan Sains, 3(03), 688–695. Retrieved from