Diabetes Mellitus Diagnosis Expert System With Web-Based Forward Chaining

Authors

  • Rusdiansyah Rusdiansyah Bina Sarana Informatika University
  • Santoso Setiawan Bina Sarana Informatika University
  • Mohammad Badrul STMIK Nusa Mandiri

DOI:

10.33395/sinkron.v3i2.10055

Keywords:

Diabetes Mellitus , Expert System, Forward Chaining

Abstract

Diabetes Mellitus Diagnosis Expert System with Web-Based Forward Chaining Method. An expert system is one branch of artificial intelligence technology that combines the knowledge of an expert with tracing data to solve problems that are normally carried out by an expert. The development of information technology now makes it possible to access information from anywhere and anytime. So the role of information technology is increasingly useful to be able to develop in various fields including in the health sector. One of them is the system used to diagnose diabetes mellitus. Diabetes Mellitus is one of the most common diseases in the world. The inability of the pancreas to produce insulin normally becomes one of the reasons a person has this disease. In this research, the method used is Forward Chaining which sorts all data obtained before getting the final conclusion. The final results obtained from this study is an expert system application for diagnosing diabetes with a forward chaining method, where the user answers questions based on perceived symptoms, then the results obtained in the form of disease and explanation of the disease.

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References

Afrina, M., Ibrahim, A., Sistem, J., Fasilkom, I., & Sriwijaya, U. (2015). Development of SMS Gateway Information System in Improving Academic Communication Services Around the Faculty of Computer Science Unsri, 7(2), 852–864.

Alfarisyi, M. I., & Amila, K. (2014). Design Of Web-Based Itenas Alumni Service Information Sstems, 02(01), 132–143.

Canggih Aji Pamungkas. (2015). web-based e-Learning Center Design To Improve The Quality And Effectiveness Of Effective Learning Media. INFORMA Politeknik Indonusa Surakarta, 1(2), 8–19.

Kermite, R. Y., Winarno, A., Rohmani, A., Informasi, S., Komputer, F. I., & Nuswantoro, U. D. (2012). School Administration System Design with Web Based SMS Gateway Using Gammu at Semarang LPI Vocational School, (x), 15–27.

Prameswari, O. M., & Widjanarko, S. B. (2014). The Effect Of Pandan Wangi Leaf Extract On The Decrease Of Blood Glucose Level And Histopatology Of Diabetes Mellitus, 2(2), 16–27.

Rusdiansyah. (2018). Expert System For Diagnosing The Damage Of Matic Motorcycle Machines With The Forward Chaining Method, 14(1), 35–42.

Satyareni, D. H., Sistem, J., & Fakultas, I. (2011). Tropical Infection Disease Diagnosis Expert System Using Forward And Backward, 1(2), 61–67.

Sri Maharsi. (2000). the influence of the Development of Information Technology on the Field of Management Accounting. Jurnal Akuntansi Dan Keuangan, 2(2), 127–137. https://doi.org/10.9744/jak.2.2.pp. 127-137

Susanto, G. (2011). Medical Record Information System at Pacitan Regional General Hospital (RSUD) Based on Web Base, 3(4), 18–24.

Wardan, A. K. (2014). Relationship between family support and control of blood sugar levels with symptoms of microvascular complications. Periodic Epidemiology. Berkala Epidemiologi, 2(1), 1–12.

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How to Cite

Rusdiansyah, R., Setiawan, S., & Badrul, M. (2019). Diabetes Mellitus Diagnosis Expert System With Web-Based Forward Chaining. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 3(2), 61-67. https://doi.org/10.33395/sinkron.v3i2.10055

Issue

Vol. 3 No. 2 (2019): SinkrOn Volume 3 Number 2, April 2019

Section

Articles
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