Rancang Bangun Sistem Rekomendasi Artikel Kesehatan Anak Berbasis Content-Based Filtering Design and Construction of a Content-Based Filtering Recommendation System for Children's Health Articles

Nikodemus, Kapaya Ngoyem (2025) Rancang Bangun Sistem Rekomendasi Artikel Kesehatan Anak Berbasis Content-Based Filtering Design and Construction of a Content-Based Filtering Recommendation System for Children's Health Articles. Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.

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Abstract

The difficulty in obtaining accurate and relevant health information is a major problem, especially in children's health topics. This study aims to develop a content-based children's health article recommendation system. Filtering uses the Term Frequency-Inverse Document Frequency (TFIDF) method for word weighting and Cosine Similarity to measure the similarity between articles and user queries. This system provides relevant article recommendations based on the problem description provided by the user. The system evaluation results showed a precision of 67%, a recall of 100%, and an F1-score of 80%, with a response time of less than 5 seconds. This indicates that, although the system is very effective in finding relevant articles (100% recall), precision can still be improved by improving the recommendation algorithm. This research contributes to the development of content-based recommendation systems that can help the public, especially parents or caregivers of children, obtain fast, accurate, and reliable children's health information. The implications of this research open up opportunities for further development in the application of recommendation systems to other health topics and related applications in the medical field.

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