Paper Key : IRJ************862
Author: Pooja Balbhim Fattepure
Date Published: 16 Apr 2024
Abstract
Abstract: These days, anything can be searched for and found out about thanks to technology. The greater the number of individuals within the community who utilize machine learning technology, the more data can be collected. There are currently many cases of cosmetic circulation violations in Indonesia. One example would be the distribution of products that have been fraudulently created by untrustworthy parties and lack a BPOM (Food and Drug Supervisory Agency) registration code. In addition to the many examples of cosmetic violations, there have also been changes in people's behaviors, such as changing patterns of consumption (users). The general public still lacks a great deal of knowledge regarding the safe selection and use of cosmetics. Applications for cosmetic safety checks are available to consumers, who can use them to independently verify whether the products they intend to use are genuine or fraudulent. The research methodology employed in this study is the waterfall approach combined with qualitative techniques. This programme aims to enable the public to quickly ascertain the authenticity of cosmetic products before making a purchase by simply scanning the barcode.
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