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Tisna Destiana
Universitas Al Washliyah Labuhanbatu
Computer Science & IT

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Sistem Pakar Diagnosis Kerusakan Rambut Berbasis Web Menggunakan Metode Certainty Factor Tisna Destiana; Samsir; Selamat Subagio
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 1 (2026): Februari 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.1.2026.83-97

Abstract

This study develops a web-based expert system for diagnosing hair damage using the Certainty Factor (CF) method to support early self-assessment and treatment recommendations. The knowledge base consists of five types of hair damage and five main symptoms with expert-validated belief weights. The CF method is applied to compute diagnostic confidence based on symptom combinations selected by users. System evaluation was conducted using test-case scenarios and numerical CF calculations. The results show that for three dominant symptoms, the system produces a CF value of 0.952, indicating a 95.2% confidence level. The novelty of this study lies in the expert-weighted knowledge modeling, transparent CF numerical analysis, and inference aggregation correction evaluation. The system can serve as an initial consultation tool before professional diagnosi.
Co-Authors Samsir Selamat Subagio