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All Journal Journal of Comprehensive Science Jurnal Global Ilmiah
Wildana Al Kautsar, Arifa
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Social Sciences

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Sistem Rekomendasi Pemilihan Produk Skincare Wildana Al Kautsar, Arifa
Jurnal Global Ilmiah Vol. 2 No. 5 (2025): Jurnal Global Ilmiah
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kulit merupakan organ terluar yang penting bagi kesehatan manusia, namun banyak konsumen kesulitan dalam memilih produk skincare yang sesuai dengan jenis dan permasalahan kulit mereka. Penelitian ini bertujuan untuk mengembangkan sistem rekomendasi pemilihan produk skincare menggunakan metode content-based filtering. Metode ini dirancang untuk membantu pengguna menemukan produk yang tepat berdasarkan ulasan dan komposisi bahan. Proses penelitian meliputi pengumpulan data dari situs e-commerce, pre-processing data untuk membersihkan informasi, dan penggunaan algoritma TF-IDF serta cosine similarity untuk menghitung kesamaan antar produk. Hasil analisis menunjukkan bahwa sistem rekomendasi mampu memberikan hasil yang akurat, dengan produk yang memiliki kesamaan tinggi dengan preferensi pengguna. Kesimpulan dari penelitian ini adalah metode content-based filtering efektif dalam membantu pengguna memilih produk skincare yang sesuai, mengurangi risiko kesalahan dalam pemilihan produk, serta meningkatkan kepuasan konsumen. Sistem ini diharapkan dapat diimplementasikan dalam platform e-commerce untuk mempermudah konsumen dalam memilih produk skincare yang tepat.
Sistem Rekomendasi Pemilihan Produk Skincare Wildana Al Kautsar, Arifa; Hasrullah, Hasrullah
Journal of Comprehensive Science Vol. 4 No. 2 (2025): Journal of Comprehensive Science (JCS)
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v4i2.3026

Abstract

The skin is the largest organ of the body that requires proper care to maintain a healthy body. Along with the increasing trend of skincare or skincare in Indonesia, many consumers face difficulties in choosing products that suit their skin type and problems. In this case, the Content-Based Filtering-based recommendation system can provide a solution for users to choose skincare products that suit their preferences based on existing product reviews. This study aims to develop a skincare product selection recommendation system using the Content-Based Filtering approach, which is based on product description analysis and user reviews. The novelty of this study lies in the use of TF-IDF weighting and Cosine Similarity calculation to analyze similarities between products based on user descriptions and reviews. The research method used is qualitative with a descriptive approach, which involves data collection through scrapping from the Female Daily platform and data analysis using pre-processing and TF-IDF weighting techniques. The results of the study show that this recommendation system can provide the most relevant skincare products based on the similarity of reviews and product descriptions, thus helping users choose products that suit their skin needs. This study concludes that Content-Based Filtering is effective in helping users find the right skincare products, minimizing product selection errors, and improving user experience.
Co-Authors Hasrullah Hasrullah, Hasrullah