Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal JIKO (Jurnal Ilmiah Keperawatan Orthopedi)
Rr. Tutik Sri Haryati
Unknown Affiliation
Nursing Public Health Veterinary

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Breast Cancer Risk Analysis Using Fuzzy Inference System with the Mamdani Model: Literature Review Siti Utami Dewi; Rr. Tutik Sri Haryati
JIKO (Jurnal Ilmiah Keperawatan Orthopedi) Vol. 5 No. 2 (2021): JIKO (Jurnal Ilmiah Keperawatan Orthopedi)
Publisher : Unit Penelitian dan Pengabdian Masyarakat STIKES Fatmawati Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46749/0833tp75

Abstract

Breast cancer is one of the most common cancer causes of death in sufferers. Breast cancer is the second leading cause of death for Indonesian women. For this reason, a device that can identify the risk of breast cancer is needed. The fuzzy method with the Mamdani model is one method that has been widely used in software development to determine the level of breast cancer risk. Purpose: To know the software development of the Fuzzy Inference System Method with the Mamdani model to identify the level of breast cancer risk. Methods: This research is a literature study with the data collection process through the PubMed, Science Direct, ProQuest, and Google Scholar databases. The criteria for the articles used are 2010-2021 publications. Results: Based on a review of 10 journals using the Fuzzy Inference System (FIS) Mamdani model can provide effective results to identify risks for people who have the possibility of developing breast cancer. Conclusion: The fuzzy expert system using the Mamdani method can be applied to the problem domain of breast cancer diagnosis with a fairly good level of accuracy to be able to overcome the inequality of mammography results.
Co-Authors Siti Utami Dewi, Siti Utami