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Rasyad Bimasatya
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Computer Science & IT

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Penggunaan Artificial Intelligence dalam Klasifikasi Kandungan Gula pada Minuman Berpemanis Yulita Sirinti Pongtambing; Rasyad Bimasatya; Eliyah Acantha Manapa Sampetoding
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 1 (2025): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i1.4386

Abstract

Excessive sugar consumption has become a serious public health problem. Increasing patterns of food and drink consumption in line with changes in modern lifestyles have contributed to an increase in the prevalence of non-communicable diseases such as obesity, type 2 diabetes and cardiovascular disorders. This study analyzes and analyzes the use of Artificial Intelligence (AI), especially Deep Learning techniques and Neural Network algorithms, in the classification of sugar content in sweetened drinks. The Systematic Literature Review (SLR) method was used to filter relevant studies published between 2020-2024. The study results show that AI is able to provide more efficient and accurate solutions than manual methods. However, although the literature results show great potential, the application of AI in sugar content classification still requires further empirical research. This study emphasizes the importance of developing AI models tailored to the characteristics of sweetened drinks to support consumer decision making regarding healthier drink choices.
Co-Authors Eliyah Acantha Manapa Sampetoding Yulita Sirinti Pongtambing