• Yadi Yadi(1*)
    Institut Teknologi Pagaralam
  • (*) Corresponding Author
Keywords: Diagnose, Expert System, Kidney Diseases


Kidney disease is a disease that is often experienced by people aged over 50 years. Several factors that cause kidney disease include hypertension, diabetes, obesity, smoking and family history of kidney disease sufferers. As many as 42,000 people per year die from kidney disease. Sufferers in Indonesia, which is estimated by the Ministry of Health, based on the 2013-2018 Basic Health Research (Riset Kesehatan Dasar (RIKESDA)) the number of patients experiencing kidney disease symptoms continues to grow to reach 739,208 people in 2013 while chronic kidney sufferers. It was recorded that in 2020 BPJS Kesehatan spent a large enough budget for kidney failure patients as many as 1,763,260 patients. The high number of patients with kidney disease was due to a lack of physical activity and consumption of healthy foods and fruits and vegetables. Therefore, it is necessary to detect as early as possible to prevent the onset of kidney disease. Technology is one of the disseminations of good information in handling kidney disease. This study aims to build an expert system for diagnosing kidney disease. The results of the research on an expert system for diagnosing kidney disease based on a website that can be accessed by the public by providing information on the detection of kidney disease symptoms with 27 symptoms. The process of tracking symptoms using forward chaining. Conclusion tests carried out using black box and usability testing have been running well, as seen from the input and output functionality on the system used by the user. In addition, the expert system helps in providing information to the public to detect the symptoms of kidney disease as early as possible.


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A. Deptuła, A. Augustynowicz, M. Stosiak, K. Towarnicki, and ..., “The Concept of Using an Expert System and Multi-Valued Logic Trees to Assess the Energy Consumption of an Electric Car in Selected Driving Cycles,” Energies, 2022, [Online]. Available:

R. Müller, L. Hörauf, and D. Burkhard, “Development of an AI-based expert system for the part-and process-specific marking of materials,” Procedia CIRP, 2021, [Online]. Available:

D. N. Donskih and V. F. Barabanov, “Usage of production-based expert system and neural network for signal recognition,” J. Phys. Conf. …, 2020, doi: 10.1088/1742-6596/1479/1/012060.

M. L. C. Buono, N. Pandiangan, and ..., “The Implementation Of An Expert System In Diagnosing Skin Diseases Using The Dempster-Shafer Method,” J. Phys. …, 2020, doi: 10.1088/1742-6596/1569/2/022028.

B. Haq, M. Nadeem, I. Ali, K. Ali, M. Raza, and ..., “Use of expert system in requirements engineering process a systematic literature review,” 2019 UK/China …, 2019, [Online]. Available:

J. Schmidt, M. Peruzzini, L. B. Z. Paganin, and ..., “Expert system based on ontological model to support the detailed design of agricultural machinery: a case of hydraulic hoses,” Prod. Manag. …, 2020, doi: 10.4322/pmd.2019.022.

B. Muslim, Yadi, and M. Harta, “Sistem Pakar Diagnosa Awal Penyakit Ginjal Berbasis Web Menggunakan PHP DAN MYSQL,” J. Ilm. Betrik, vol. 8, no. 03, pp. 115–122, 2017, doi: 10.36050/betrik.v8i03.72.

A. Agusta, F. Y. Arini, and R. Arifudin, “Implementation of Fuzzy Logic Method and Certainty Factor for Diagnosis Expert System of Chronic Kidney Disease,” J. Adv. …, 2020, [Online]. Available:

R. F. R. Jr, R. A. Pagaduan, J. A. Caliwag, and ..., “A mobile expert system using fuzzy logic for diagnosing kidney diseases,” Proc. …, 2019, doi: 10.1145/3322645.3322703.

A. Sheikhtaheri, F. Hamedan, H. Sanadgol, and ..., “Development of a fuzzy expert system to diagnose chronic kidney disease,” Razi J. Med. …, 2019, [Online]. Available:

M. N. A. Al-Qumboz, A. A. Elsharif, I. M. D. Samy, and ..., “Kidney Expert System Diseases and Symptoms,” Int. J. …, 2019.

J. Singla, B. Kaur, D. Prashar, S. Jha, G. P. Joshi, and ..., “A novel fuzzy logic-based medical expert system for diagnosis of chronic kidney disease,” Mob. Inf. …, 2020, [Online]. Available:

F. Hamedan, A. Orooji, H. Sanadgol, and ..., “Clinical decision support system to predict chronic kidney disease: A fuzzy expert system approach,” Int. J. …, 2020, [Online]. Available:

A. P. Gusman and H. Hendri, “Expert system to diagnose child development growth disorders with forward chaining method,” J. Phys. Conf. Ser., vol. 1339, no. 1, 2019, doi: 10.1088/1742-6596/1339/1/012045.

L. Isyriyah, “Rancang Model Expert System Pada Diagnosa Penyakit Diabetes Melitus Dengan Metode Forward Chaining,” J. Teknol. dan Manaj. Inform., 2021, [Online]. Available:

T. Mardiana, E. M. Ditama, and T. Tuslaela, an Expert System for Detection of Diabetes Mellitus With Forward Chaining Method, vol. 2, no. 2., 2020. doi: 10.34288/jri.v2i2.121.

R. E. Wulansari, R. H. Sakti, A. Ambiyar, and ..., “Expert System For Career Early Determination Based On Howard Gardner’s Multiple Intelligence,” J. Appl. …, 2022, [Online]. Available:

R. Kapur and B. Sodhi, “Towards a Knowledge warehouse and expert system for the automation of SDLC tasks,” … Conf. Softw. Syst. …, 2019, [Online]. Available:

V. Ariandi, H. Kurnia, and H. Marry, “Expert system for disease diagnosis in cocoa plant using android-based forward chaining method,” J. Phys. Conf. …, 2019, doi: 10.1088/1742-6596/1339/1/012009.


N. K. Ariasih, “Expert System to Diagnose Diseases of Mental Health with Forward Chaining and Certainty Factor,” … dan Sains J. Mat. Sains, dan …, 2020, [Online]. Available:

H. Andrianof, “Design and Built an Expert System Application Fir Diagnosing Human Eye Diseases By Using Forward Cahining Metodh Web-Based,” J. KomtekInfo, 2021, [Online]. Available:

E. Pawan, R. M. H. Thamrin, W. Widodo, and ..., “Implementation of Forward Chaining Method in Expert System to Detect Diseases in Corn Plants in Muara Tami District,” … Inf. Syst. …, 2022, [Online]. Available:

C. R. P. Amalia, “Expert System to Diagnose the Level of Learning Stress in High School Students Using the Forward Chaining Method,” Int. J. Educ. …, 2021, [Online]. Available:

M. Anwar, “Designing an expert system for determining student learning styles using forward chaining in engineering education,” J. Konseling dan Pendidik., vol. 9, no. 1, p. 93, 2021, doi: 10.29210/159000.

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How to Cite
Y. Yadi, “EXPERT SYSTEM DIAGNOSIS OF KIDNEY DISEASE USING FORWARD CHAINING”, jicon, vol. 10, no. 2, pp. 197-203, Oct. 2022.

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