Innovative Method to Evaluate Halal Assurance System (HAS 23000) Audit Results using Single Value Neutrosophic Number

Abstract

The Halal food industry in Indonesia has became an alternative and trend in the global market. The quality management system plays a role in maintaining company consistency in implementing a quality management system which continue to develop in the food industry such as the Halal Assurance System (HAS 23000) LPPOM MUI. Internal audit is a part of the verification tools carries out internally by the company to meet the eleven criteria such as procedures, work instructions and documentation has been implemented with consistency and integrity. However, there are many problems in assessing consistency and integrity, among others, expertise auditor factor and also the auditor's assessment as a human being tends to be doubtful related to standard interpretation, using a general impression in his assessment, incorrectly determining the classification/grading of findings, so the audit results has not produced a quantitative assessment. The research aims to use of the Neutrosophic Quality Audit (NQA) model. The proposed model uses Single Value Neutrosophic Numbers (SVNN). Simplified Neutrosophic Weighted Geometric Average Operator (SNWGAO) and cosine similarity degree. The result an innovative model will be reliable solution in improving the halal assurance system audit in the food industry. An illustrative example is provided to validate the proposed model.