Experd System of Obesity Diagnosis Using Backward Chaining Method and Certain Factor

Authors

  • Fegie Yoanti Wattimena Universitas Ottow Geissler Papua
  • Reni Koibur University Ottow Geissler Papua
  • Dion R A Mamisala University Ottow Geissler Papua
  • Septi Andryana Universitas Nasional

DOI:

https://doi.org/10.34306/itsdi.v1i2.106

Keywords:

expert system, obesity, Android, Backward Chaining, Certainity Factor

Abstract

Obesity is a medical condition in the form of excess body fat that accumulates in such a way as to have a detrimental impact on health, which then decreases life expectancy and or increases health problems. Obesity is now a common health problem in this modern society with a variety of technological discoveries that make people don't need to move a lot to do something, resulting in people living a lifestyle without much Move. Researchers feel the need for an expert system application that can easily diagnose obesity with everyone just by modalizing simple applications on people's smartphones. The expert system that is built will diagnose early obesity disease by method of drawing inferences using backward chaining method and to test the level of belief conclusions using certainity factor method. The system will be able to provide output in the form of obesity diagnosis, explanation, tips and advice on obesity handling solutions. System development Methods using ESDLC (Expert System Development Life Cycle). The system is built on Android.

Downloads

Download data is not yet available.

References

[1] Yahya , Nadjibah, ( 2017) . Kupas Tuntas Obesitas. Solo, Metagraf , 9
[2] Syafitri, Nesi., Apdian, Alfred. (2016, July). Expert System to Diagnose Obesity in Children Using the Backward Chaining Method. It Journal Research And Development, 1(1), 1 – 8.
[3] Saepullah, Eful., Fatimah, Dini Destiani. (2017). Expert System Design Diagnosis of Weight Problems in Adults. Algoritma Journal Sekolah Tinggi Teknologi Garut.
[4] Tahel, Fithry (2018). Application of Experd System in children under five to detect obesity using the Case Based Reasoning method. Journal Sistem Informasi Kaputama (JSIK), 2 (2)

Additional Files

Published

2020-03-09

How to Cite

Wattimena, F. Y., Koibur, R., Mamisala, D. R. A., & Andryana, S. (2020). Experd System of Obesity Diagnosis Using Backward Chaining Method and Certain Factor. IAIC Transactions on Sustainable Digital Innovation (ITSDI), 1(2), 116–128. https://doi.org/10.34306/itsdi.v1i2.106

Issue

Section

Articles