Page 163 - The-5th-MCAIT2021-eProceeding

Fig. 5. List of data product information

(a) (b) (c)

Fig. 6. Halal CHECK android application, (a) Main display, (b) QR code scanning, and (c) Information halal product
4. Result

The system that is built can function properly. Part one of the system can store product data that has a halal
certificate and generate a unique QR code per product ID. In addition, the second part of the system can read
the QR code and display product information including the validity period of the product's halal status. Further
research is the application of this application system to related institutions. Furthermore, this application is
expected to help the public quickly see the halal certification status of a product.

References

Kim, Yeong Gug, and Eunju Woo. 2016. “Consumer Acceptance of a Quick Response (QR) Code for the Food
Traceability System: Application of an Extended Technology Acceptance Model (TAM).” Food Research
International 85:266–72. doi: 10.1016/j.foodres.2016.05.002.
Tarjan, Laslo, Ivana Šenk, Srdjan Tegeltija, Stevan Stankovski, and Gordana Ostojic. 2014. “A Readability
Analysis for QR Code Application in a Traceability System.” Computers and Electronics in Agriculture 109:1–
11. doi: 10.1016/j.compag.2014.08.015.
Tiwari, Sumit. 2017. “An Introduction to QR Code Technology.” Pp. 39–44 in Proceedings - 2016 15th
International Conference on Information Technology, ICIT 2016. Vol. 1. Bhubaneswar, India: IEEE.
Zhu, Shanhong, and Pei Tang. 2015. “The Design and Implementation of Eggs’ Traceability System Based on
Mobile QR Code.” Advance Journal of Food Science and Technology 7(2):99–101. doi: 10.19026/ajfst.7.1274.

E- Proceedings of The 5th International Multi-Conference on Artificial Intelligence Technology (MCAIT 2021) [150]
Artificial Intelligence in the 4th Industrial Revolution