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Dwi Junior
Universitas Cipasung Tasikmalaya
Computer Science & IT

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Sistem Pakar Deteksi Dini Penyakit Sepsis Neonatal pada Bayi Baru Lahir menggunakan Metode Certainty Factor dan Forward Chaining N Nelis Febriani SM; Dede Rizal Nursamsi; Mutia Maharani; Dwi Junior
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-.18.1.2026.98-112

Abstract

Neonatal sepsis is a condition caused by bacterial infection in infants during the neonatal period and is one of the leading causes of newborn mortality in many countries around the world, including Indonesia. Indonesia ranks fifth among Southeast Asian countries with the highest neonatal mortality rate. Most of these deaths can essentially be prevented through effective prevention, early diagnosis, and prompt treatment and care. This study aims to develop a web-based expert system application designed to perform early detection of neonatal sepsis, capable of storing and managing knowledge similar to that of a medical expert. The Certainty Factor method is used to calculate and measure the level of confidence in the diagnostic results, while the Forward Chaining method serves as the reasoning mechanism to generate conclusions based on the symptoms selected by the user. The expert system provides comprehensive information on symptoms, treatment steps, care procedures, and medical advice, thereby assisting both healthcare professionals and the public in identifying sepsis risks at an early stage. The testing results show that the expert system can provide a diagnostic confidence level of 94.77%, indicating the system’s accuracy in supporting clinical decision-making and its potential to help reduce neonatal mortality rates.
Co-Authors Mutia Maharani N. Nelis Febriani SM Nursamsi, Dede Rizal