Sistem Pakar Deteksi Apendisicitis

Authors

  • Yogi Wiyandra Universitas Putra Indonesia YPTK Padang
  • Firna Yenila Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.35134/komtekinfo.v5i3.34

Keywords:

Expert System, Backward Chaining, Apendisicitis

Abstract

Appendicicitis is found throughout the world and can affect everyone, both men and women. If inflammation of appendicitis cannot be recognized or treated, appendicitis can rupture, make an inflamed sac outside the intestine and cause pus. As a result, objects from the appendix enter the abdominal cavity, causing serious inflammation. To find out appendicitis they must visit a doctor. With this condition a system is designed that is able to provide solutions to patients or users who experience these conditions. It is built an expert system involving doctors who are experts in their field as experts and adapt information through experts and applied to a system. using the backward chaining method in reading the data when the user or patient is consulting. It is based on a website and can be used on various smartphones, the results of this system can also be used in hardcopy

References

A. Arifuddin, L. Salmawati, and A. Prasetyo, “Faktor Resiko Kejadian Apendisitis di Bagian Rawat Inap RSU Anutapura Palu 2017,” J. Prev., vol. 8, no. 1, pp. 26–33, 2017.

Firna Yenila, Yogi Wiyandra. 2016. “JURNAL TEKNOLOGI INFORMASI & PENDIDIKAN VOL . 9 NO . 3 September 2016 ISSN : 2086 – 4981.” 9(3): 50–58.

Kusumadewi, Sri (2003).”Artificial Intelligence (Teknik dan aplikasinya)”. Graha Ilmu: Yogyakarta

Suyanto (2011). “Kecerdasan Buatan”. Andi: Yogyakarta

Sutojo, dkk, 2011, Kecerdasan Buatan, Yogyakarta:

Downloads

Published

2019-04-01

How to Cite

Wiyandra, Y., & Yenila, F. (2019). Sistem Pakar Deteksi Apendisicitis. Jurnal KomtekInfo, 5(3), 81–91. https://doi.org/10.35134/komtekinfo.v5i3.34

Issue

Section

Articles