Main Content
Lembaga Kita Journal Portal

Abstract

Hypertension is a disorder of the blood vessels that causes the supply of oxygen and nutrients carried by the blood to be blocked to the body's tissues that need it. Hypertension is often referred to as a silent killer, because it is a deadly disease without symptoms as a warning to its victims. Hypertension sufferers range from 40 years of age and above to lifelong. In general, hypertension is caused by hereditary factors, unhealthy lifestyles, excessive salt consumption, alcoholic beverages and stress. Expert systems can be a solution to solve problems because this system works like an expert and is designed using the naive bayes method by looking at the rules and rule bases that exist in hypertension. Through this application, users can consult with the system like consulting an expert to diagnose the symptoms that occur in users and find solutions to the problems faced.

Keywords

Expert System Hypertension Naive Bayes

How to Cite

Citation Format
Poerwandono, E., & Ilyasa, P. A. (2025). Expert System for Diagnosis of Hypertension Disease Using Naive Bayes Method. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 9(3), 1103-1111. https://doi.org/10.35870/jtik.v9i3.3822

References

13 References
  • Abdullah, A. A., Zakaria, Z., & Mohamad, N. F. (2011, January). Design and development of fuzzy expert system for diagnosis of hypertension. In 2011 Second international conference on intelligent systems, modelling and simulation (pp. 113-117). IEEE.
  • Abrishami, Z., & Tabatabaee, H. (2015). Design of a fuzzy expert system and a multi-layer neural network system for diagnosis of hypertension. Bull Environ Pharmacol Life Sci, 4(11), 138-145.
  • Barrickman, A. L., Gálvez-Peralta, M., Johnson, H., Purnell, K., & Harvey, M. (2023). Development of an integrated rheumatoid arthritis simulation that reinforces specialty pharmacy and managed care concepts. Currents in Pharmacy Teaching and Learning, 15(4), 427-436.
  • Başçiftçi, F., & Eldem, A. (2013). Using reduced rule base with Expert System for the diagnosis of disease in hypertension. Medical & Biological Engineering & Computing, 51, 1287-1293.
  • Dalimartha, S., Purnama, B. T., SpGK, M. S., Sutarina, N., Mahendra, B., Akp, I., & Darmawan, R. (2008). Care your self, Hipertensi. Penebar Plus+.
  • Djam, X. Y., & Kimbi, Y. H. (2011). Fuzzy expert system for the management of hypertension. The Pacific Journal of Science and Technology, 12(1), 390-402.
  • Duyvendak, M. (2010). Pharmaceutical care by clinical pharmacists in patients with musculoskeletal disease.
  • Lindheimer, M. D., Taler, S. J., & Cunningham, F. G. (2010). Hypertension in pregnancy. Journal of the American Society of Hypertension, 4(2), 68-78.
  • Poerwandono, E., & Ilyasa, P. A. (2025). Expert System For Diagnosis of Hypertension Disease Using Naive Bayes Method. Modem: Jurnal Informatika dan Sains Teknologi., 3(2), 30-41.
  • Roanes-Lozano, E., López-Vidriero, E., Laita, L. M., López-Vidriero, E., Maojo, V., & Roanes-Macías, E. (2004). An expert system on detection, evaluation and treatment of hypertension. In Artificial Intelligence and Symbolic Computation: 7th International Conference, AISC 2004, Linz, Austria, September 22-24, 2004. Proceedings 7 (pp. 251-264). Springer Berlin Heidelberg.
  • Rokhmah, S., & Rais, N. A. R. (2022). Application of Data Mining for Prediction of Long Covid on Covid-19 Survival With Feature Selection and Naïve Bayes Method. Jurnal Teknik Informatika (Jutif), 3(5), 1397-1405. https://doi.org/10.20884/1.jutif.2022.3.5.561.
  • Sani, M. I. M., Abdullah, N. A. S., & Rosli, M. M. (2022). Review on hypertension diagnosis using expert system and wearable devices. International Journal of Electrical and Computer Engineering, 12(3), 3166.
  • Tamar, M. (2020). Implementation of Regulation of the Minister of Health of the Republic of Indonesia Number 15 of 2013 in Improving the Performance of Female Employees at South Sulawesi Provincial Government Offices. Journal of Social and Political Sciences, 3(4).

Author Biographies

Edhy Poerwandono, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

Informatics Engineering Study Program, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, East Jakarta City, Special Capital Region of Jakarta, Indonesia.

Prakoso Angga Ilyasa, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

Informatics Engineering Study Program, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, East Jakarta City, Special Capital Region of Jakarta, Indonesia.

License

Copyright (c) 2025 Edhy Poerwandono, Prakoso Angga Ilyasa

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

This is an open-access journal distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, reproduction, and adaptation in any medium (even commercially), provided appropriate credit is given to the original author(s), a link to the license is provided, and any changes made are indicated. Authors retain copyright without restrictions and grant the journal the right of first publication as well as non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

Downloads

OJS UsageStats Plugin
Download data is not yet available.

Most read articles by the same author(s)

Contrimetric

Recommended Articles