Basic Skincare Product Selection Recommendation System Based on Skin Type Using Simple Additive Weighting (SAW) Algorithm

Authors

  • Mina Ismu Rahayu Sekolah Tinggi Manajemen Informatika dan Komputer Bandung Author
  • Mira Kasegrina Siregar Sekolah Tinggi Manajemen Informatika dan Komputer Bandung Author
  • Melly Desnia Sekolah Tinggi Manajemen Informatika dan Komputer Bandung Author

DOI:

https://doi.org/10.58761/jurtikstmikbandung.v11.i2.100

Keywords:

simple additive weighting, rekomendasi, skincare

Abstract

In general, women want to have clean and healthy skin so they feel more confident. To get healthy and clean skin, of course, you need to care for and choose skin care products that are suitable for your facial skin. Some of the right sequences for using skin care products for basic skincare are serum, serum, moisturizer, sunscreen. Before knowing the right skin care products, we need to know about each of our skin types. In this website-based skin care recommendation system, we need to enter each standard type, and the system will provide skin care recommendations. The method used is the Simple Additive Weighting (SAW) algorithm with weight and ranking calculations, the results of this calculation will later bring the greatest value as a skincare recommendation.

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Author Biographies

  • Mina Ismu Rahayu, Sekolah Tinggi Manajemen Informatika dan Komputer Bandung

    Sekolah Tinggi Manajemen Informatika dan Komputer Bandung

  • Mira Kasegrina Siregar, Sekolah Tinggi Manajemen Informatika dan Komputer Bandung

    Sekolah Tinggi Manajemen Informatika dan Komputer Bandung

  • Melly Desnia, Sekolah Tinggi Manajemen Informatika dan Komputer Bandung

    Sekolah Tinggi Manajemen Informatika dan Komputer Bandung

Published

2022-12-01

How to Cite

Basic Skincare Product Selection Recommendation System Based on Skin Type Using Simple Additive Weighting (SAW) Algorithm. (2022). Jurnal Penelitian Dan Pengembangan Teknologi Informasi Dan Komunikasi, 11(2), 1-6. https://doi.org/10.58761/jurtikstmikbandung.v11.i2.100