Designing R-CNN Algorithm to Detect Halal Composition of Korean Food and Beverages

The Korean Wave also influences the consumption patterns of Indonesian people, one of which is the culinary field. Thousands of tons of snacks typical of the country of Ginseng have entered Indonesia since 2015. Unfortunately, some products were found to contain non-halal ingredients. Ignorance of Korean food and beverage composition is crucial for Muslim communities who are obliged to consume halal food. An application was created to detect the halal composition of Korean product packaging. The R-CNN algorithm is applied to this application because of its fast detection ability. A total of 150 packaging product data has been involved in this application. A total of 37 data on haram and doubtful products were obtained. Based on data compiled from the Korean Muslim Federation (KMF), Amir Korea, the Korean Muslimah Indonesia group, and the Korean Muslim group. Application testing is done through the black-box testing method. The study results show that the halal detection application can detect the composition of the packaging in Korean products and provide a warning if there are no halal components.