Integrated risk to food safety and halal using a Bayesian Network model

Wahyuni, Hana Catur and Vanany, Iwan and Ciptomulyono, Udisubakti and Purnomo, Jerry Dwi Trijoyo Integrated risk to food safety and halal using a Bayesian Network model. Taylor & Francis Group.

Text artikel 1 (1).pdf Download (3MB)

Abstract

This study aims to comprehensively identify risks to food safety and halal status in food manufacturing processes. The research was conducted through risk identification, data collection, Bayesian Network (BN) structure, decision analysis, and mitigation programs. The results showed that there were 19 integrated risks to food safety and halal. Twelve risks were due to food safety and seven risks were due to halal status. Overall, risks identified were described through the BN structure, which consists of four levels, as a basis for determining risk opportunity values. The results of BN decision analysis show that the highest integrated risk to food safety and halal each level. The risk of chickens dying when stunning is the highest risks in level 1 and cleaning and chilling department in level 2. The partially integrated risks for level 3 and total integrated risks in level 4 has a chance of contamination. Due is the results, the analysis and decision analysis is to reject or rework.

Item Type:	Other
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Depositing User:	Hana Catur Wahyuni
Date Deposited:	14 Sep 2020 01:40
Last Modified:	14 Sep 2020 01:40
URI:	http://eprints.umsida.ac.id/id/eprint/7871

Available Versions of this Item

• Integrated risk to food safety and halal using a Bayesian Network model. (deposited 12 Sep 2020 07:04)
  • Integrated risk to food safety and halal using a Bayesian Network model. (deposited 14 Sep 2020 01:40) [Currently Displayed]

Actions (login required)

View Item