Product Search Information System Using Brute Force Algorithm in Website-Based Perfume Store

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Keywords:

product search, brute force, website

Abstract

The aim of this research is to discuss a product search information system using a brute force algorithm in a website-based perfume shop. Search using a brute force algorithm, where the algorithm is used to search between text patterns in a website-based search. The research method used is the waterfall method, while the data collection method is by conducting interviews and observations. After testing, it was found that the average time was 0.001792355 seconds from 30 keywords resulting in 100% accuracy, thus the application of the brute force algorithm can be used to solve problems in searching for perfume products.

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Published

2024-10-05

How to Cite

Sinlae, F., & Adji Anasyah, B. (2024). Product Search Information System Using Brute Force Algorithm in Website-Based Perfume Store. Greenation Computer and Information Review, 1(1), 1–8. Retrieved from https://greenpub.org/GCIR/article/view/658

Issue

Vol. 1 No. 1 (2024): Greenation Computer and Information Review (October 2024)

Section

Articles

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Copyright (c) 2024 Fried Sinlae, Bayu Adji Anasyah

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