Implementation of the Certainty Factor Method in Determining the Type of Treatment for Dry Facial Skin
-
Mesran Mesran
*
Sekolah Tinggi Ilmu Manajemen Sukma Medan, Medan,
Indonesia
https://orcid.org/0000-0002-8886-2013
- Rima Marhamah Universitas Budi Darma, Medan, Indonesia
- Mahendra Maulia Lubis Universitas Budi Darma, Medan, Indonesia (*) Corresponding Author
Abstract
Facial skin is one of the most sensitive parts of the body and is vulnerable to various disorders, one of which is dry skin. Dry facial skin is characterized by a dull appearance, a tendency to experience irritation, and the emergence of fine lines or wrinkles. This condition not only affects physical appearance but can also reduce the skin’s protective function against infections and exposure to free radicals. This study aims to identify dry facial skin conditions based on symptoms experienced by users by applying the Certainty Factor (CF) method. The CF method is selected because it is capable of handling uncertainty in decision-making processes, particularly in Expert System applications. In its implementation, the system calculates the certainty value from a combination of symptoms entered by the user to determine the probability level of dry facial skin conditions. The results of the study indicate that the system produces a certainty value of 22.32%, suggesting that the user has a 22.32% probability of experiencing dry facial skin. These findings demonstrate that a CF-based expert system can be utilized as an initial supporting tool for identifying skin conditions, although further validation by experts in the field of Dermatology is still required
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