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Submitted
22 October 2025
Accepted
20 November 2025
Published
29 November 2025
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Abstract

Skincare products are increasingly used to address various facial skin problems, maintain skin health, and enhance self-confidence. However, the diversity of skin types and the wide range of skincare products available on the market often make it difficult for users to choose the most suitable products. To address this issue, this study developed a desktop-based skincare application equipped with a recommendation system that uses rule-based and weighted scoring methods, implemented using Python and a MySQL database. The recommendation system analyzes users’ skin types and evaluates the compatibility of product ingredients to generate more accurate recommendations. The test results show that the application can provide suitable recommendations for four skin type categories (dry, oily, sensitive, and combination) with a recommendation suitability level of 84% based on user evaluation. In addition, the application offers a product sales feature that facilitates the process from product selection to purchase. Therefore, this application serves as an effective digital solution to help users determine the right skincare products according to their specific skin needs.

Keywords

Skincare Facial Skin Desktop Applications

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Copyright (c) 2025 Jurnal Komputer Terapan

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Author Biographies

Rolly Junius Lontaan, Universitas Klabat

Univeristas Klabat Minahasa Utara

Marshanda Saroinsong, Univeristas Klabat

Univeristas Klabat Minahasa Utara

Monica Sumual, Univeristas Klabat

Univeristas Klabat Minahasa Utara

Mitchelly Masengi, Univeristas Klabat

Univeristas KlabatMinahasa Utara

Tiara Mamuaja, Univeristas Klabat

Univeristas KlabatMinahasa Utara
How to Cite
Lontaan, R. J., Saroinsong, M., Sumual, M., Masengi, M., & Mamuaja, T. (2025). DEVELOPMENT OF A DESKTOP SKINCARE APPLICATION FOR PRODUCT RECOMMENDATIONS AND SALES BASED ON SKIN. Jurnal Komputer Terapan, 11(2), 88–97. https://doi.org/10.35143/jkt.v11i2.6781
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