Analysis of Human Error Risk with Human Reliability Methods in Construction Projects. Issue 1 (December 2020)
- Record Type:
- Journal Article
- Title:
- Analysis of Human Error Risk with Human Reliability Methods in Construction Projects. Issue 1 (December 2020)
- Main Title:
- Analysis of Human Error Risk with Human Reliability Methods in Construction Projects
- Authors:
- Priska Sinabariba, M A
Ghifari, M R
Muslim, E
Moch, B N - Abstract:
- Abstract: Work injury rates in Indonesia are relatively high, resulting in an urgency to maintain the safety of workers whose numbers are increasing. The biggest sector contributing to work accidents in Indonesia is the construction area, including building construction and causing large physical and financial losses. Workplace accidents are usually caused by human error and are strongly related to human reliability. The use of Fuzzy Cognitive Reliability and Error Analysis Method (Fuzzy CREAM) method is aimed at research to analyze patterns of worker behavior that affect the risk of workplace accidents combined with Bayesian Network simulation. 176 construction workers in the Jakarta and surrounding areas became the object of research. The value of Human Error Probability (HEP) was successfully obtained and the solution was given based on the characteristics of workers in the Control Mode category.
- Is Part Of:
- IOP conference series. Volume 1003:Issue 1(2020)
- Journal:
- IOP conference series
- Issue:
- Volume 1003:Issue 1(2020)
- Issue Display:
- Volume 1003, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 1003
- Issue:
- 1
- Issue Sort Value:
- 2020-1003-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-12
- Subjects:
- Materials science -- Periodicals
620.1105 - Journal URLs:
- http://iopscience.iop.org/1757-899X ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1757-899X/1003/1/012079 ↗
- Languages:
- English
- ISSNs:
- 1757-8981
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25562.xml