Smartphone Purchase Recommendation System Using the K-Nearest Neighbor (KNN) Algorithm
نویسندگان
چکیده
Indonesia is in the fourth position of countries with most smartphone users worldwide. Smartphones are needed today's modern times. also used not only for long-distance communication but carrying out daily work. currently study and work become entertainment to play. Therefore, smartphones very much sought after suitability who carry their activities. So this research helpful find that support activities such as studying, working, playing. This based on a website can make it easier see recommendations directly. The analysis uses K-Nearest Neighbor (KKN) method ratings reviewed by other have tried using different phone brands. calculation current 3 KNN calculations concept combining maximum recommendation results. result system form review stating whether user agrees or disagrees. In study, there been 100 reviews from users, has percentage 78% success 22% failure.
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ژورنال
عنوان ژورنال: Jurnal media informatika Budidarma
سال: 2022
ISSN: ['2548-8368', '2614-5278']
DOI: https://doi.org/10.30865/mib.v6i4.4753