Page 162 - The-5th-MCAIT2021-eProceeding

Fig. 4. Display of product data menu

This study uses 100 sample data with product halal certification status sourced from LPPOM MUI attachment
of halal certification data. This data is used to test the designed system whether can function properly or not.
Testing of halal status certification checker applications is conducted on several QR codes that are printed with
a size of 70 pixels. Android App Scanning is conducted at different distances. The results show that the
application successfully reads the QR code and displays information on the halal certification status of the
product as shown in table 1 and Fig. 5. Fig. 6 shows the reading QR code by the android system. The furthest
reading distance using the android system in bright light conditions is 30 cm, while in low light conditions it is
26 cm.
Table 1. Testing of five QR code reading example

No Product ID QR-Code Result
No Product ID QR-Code Result
[]
1 00120065880713 []
success 6 00250041070706
success
[]
2 00060010310699 success []
7 00250084330817 success

[]
3 00150010680899 success []
8 01011037630309 success

[]
4 00160103190320 success []
9 17010055420720 success

[]
5 152000044220120 success []
10 00240082120417 success

E- Proceedings of The 5th International Multi-Conference on Artificial Intelligence Technology (MCAIT 2021) [149]
Artificial Intelligence in the 4th Industrial Revolution