September 10, 2025Journal Digital Technology Trend

Analysis of the Lowest Product Prices in Online Stores Using Tsukamoto Fuzzy Logic with Two Sets in a Web-Based System

View Full Paper

Ask AI

Bookmark

Authors

RRRahmatullah RahmatullahInstitut Agama Islam Negeri Bengkulu

Discussion

Member takes

Implication

This analysis employs tsukamoto fuzzy logic to recommend optimal prices in online stores, suggesting enhancements for future consumer decision-making.

Key Points

The system achieved a 95% accuracy rate for product price recommendations compared to manual searches.
Testing involved 50 electronic products and yielded an average recommended price of Rp2,625,000.
User evaluations showed a 90% satisfaction rate, highlighting the system's ease of use and responsiveness.
The study reveals limitations in using two fuzzy sets and suggests potential improvements, like incorporating a third fuzzy set.

Cite This Study

Rahmatullah Rahmatullah (2025) studied this question.

synapsesocial.com/papers/68c23b08b210217d64783307 https://doi.org/10.56347/jdtt.v4i1.268

View Full Paper

Ask AI

Bookmark

Implication

This analysis employs tsukamoto fuzzy logic to recommend optimal prices in online stores, suggesting enhancements for future consumer decision-making.