| dc.description.abstract | Pregnancy brings significant physiological changes that affect skin health, with nearly 70%
of pregnant women developing melasma and up to 90% experiencing hyperpigmentation.
Despite the growing skincare market projected to reach USD 224.83 billion by 2034, pregnant
women face challenges in identifying safe and effective products due to harmful ingredients
such as retinoids, hydroquinone, and phthalates. Current solutions remain fragmented,
requiring manual ingredient checks without integrated product recommendations.
This research develops a comprehensive recommendation system for pregnant women’s
skincare needs, using a two-component approach: (1) keyword-based classification to identify
pregnancy-unsafe ingredients and categorize products by safety and therapeutic benefits for
pregnancy-related skin conditions, and (2) content-based filtering with TF-IDF and cosine
similarity to generate personalized safe alternatives.
The dataset comprises 26.266 products scraped from the Skinsort platform, with evaluation
on 1.042 unsafe products across eight categories. The quality performance evaluation showed
cosine similarity scores ranging from 63.94% to 82.61%, with the highest in cleansers
(82.61%), treatments (82.26%), and moisturizers (82.04%). The user evaluation using the
ResQue framework, conducted with 10 participants, produced an overall mean score of 4.65
out of 5, categorized as “very high” across all dimensions. The highest ratings were obtained
for perceived usefulness (4.8), attitudes (4.6), and behavioral intentions (4.78), reflecting the
system’s effectiveness in supporting product selection.
This research meets three objectives: implementing ingredient classification based on
pregnancy safety and skin condition relevance, developing a content-based recommendation
system using cosine similarity, and demonstrating effectiveness in meeting pregnant users’
skincare needs from both objective and user perspectives. The system offers a reliable, safe,
and user-friendly solution enabling pregnant women to maintain effective skincare routines
while ensuring safety, with strong potential for real-world application in supporting informed
skincare decisions during pregnancy. | en_US |
