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All Journal Jurnal Teknologi dan Manajemen Industri Terapan CSRID Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat
Samsir
Universitas Al Washliyah Labuhanbatu
Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Other

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Journal : csrid

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Sistem Pakar Diagnosis Penyakit Typhus Menggunakan Metode Forward Chaining Berbasis Web Abdul Hakim Jambak; Samsir; Shabrina Rasyid Munthe
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-.18.1.2026.148-161

Abstract

Typhoid fever is a digestive system infection caused by Salmonella Typhi and remains a significant health problem in Indonesia due to symptom similarities with other diseases, which often lead to delayed early diagnosis. This study aims to develop a web-based expert system to support early diagnosis of typhoid fever using the Forward Chaining method. The knowledge base was constructed through medical literature review and expert validation by an internal medicine specialist and represented using IF–THEN production rules. The system utilizes six main symptoms and seven disease conditions processed through a forward chaining inference mechanism to generate diagnostic conclusions automatically. System evaluation was conducted using 146 case datasets through Black Box Testing, White Box Testing, and Known Case Testing. The results show a diagnostic accuracy of 87.88%, while white box testing achieved 100% logical correctness. The findings indicate that the Forward Chaining method effectively performs symptom-based reasoning and can support structured early diagnosis of typhoid fever.
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 Abdul Hakim Dalimunthe Abdul Hakim Jambak Nur Belila Rambe Rahmad Aditiya Reagen Surbakti Saragih Selamat Subagio Shabrina Rasyid Munthe Syafaruddin Munthe Tisna Destiana