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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Teknologi Terpadu IT (INFORMATIC TECHNIQUE) JOURNAL MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Generic Digital Transformation Technology (Digitech) ROUTERS: Jurnal Sistem dan Teknologi Informasi Journal of Embedded Systems, Security and Intelligent Systems Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC)
Abwabul Jinan
Universitas Satya Terra Bhinneka
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science

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Journal : Journal of Embedded Systems, Security and Intelligent Systems

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Smart Skincare: Expert System Based on Certainty Factors for Skin Type Identification and Product Selection Raja Gunung, Tar Muhammad; Ningtyas, Alyiza Dwi; Sitepu, Sengli Egani; Rolanda, Vicky; Jinan, Abwabul
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 4 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i4.10015

Abstract

This study aims to develop an expert system for selecting skincare products based on skin type using the Certainty Factor method. This method is used to represent the expert's level of confidence in the symptoms that appear on the user's skin, so that the system can provide realistic diagnostic results that are close to human thinking. The research data was obtained through consultations with beauty experts and a review of dermatology literature. The test results show that the system is able to identify the user's skin type with varying degrees of certainty. For example, for patients with combination skin types, the system recommends appropriate skincare products such as Salicylic Acid Serum, Elshe Skin Acne Cleansing Wash, and Azarine Acne Gentle Cleansing Foam. Thus, this Certainty Factor-based expert system is expected to help individuals recognize their skin type and choose facial care products more accurately and effectively. Going forward, this system has the potential to be further developed with the integration of artificial intelligence technology and a broader product database to improve the accuracy and personalization of recommendations.
Co-Authors Abdul Muis Abdul Muis Akbar Idaman Dede Fika Suryani Frans Ikorasaki Gunung, Tar Muhammad Raja Jaka Kusuma Kusuma, Jaka Lubis, Siti Sahara Manutur Siregar Muhammad Raja Gunung, Tar Muhammad Zulkarnain Lubis Ningtyas, Alyiza Dwi Raja Gunung, Tar Muhammad Rika Rosnelly Rika Rosnelly Rolanda, Vicky Rubianto Rubianto Simanjuntak, Peter Jaya Negara Siregar, Manutur Pandapotan Sitepu, Sengli Egani Suryani, Dede Fika Tar Muhammad Raja Gunung Vicky Rolanda Zakarias Situmorang