SISTEM PAKAR DIAGNOSIS PENYAKIT INFEKSI SALURAN PERNAPASAN PADA BALITA MENGGUNAKAN VARIABLE-CENTERED INTELLIGENT RULE SYSTEM DAN CERTAINTY FACTOR

GUSTANO, AHMAD and Abdiansah, Abdiansah and Miraswan, Kanda Januar (2021) SISTEM PAKAR DIAGNOSIS PENYAKIT INFEKSI SALURAN PERNAPASAN PADA BALITA MENGGUNAKAN VARIABLE-CENTERED INTELLIGENT RULE SYSTEM DAN CERTAINTY FACTOR. Undergraduate thesis, Sriwijaya University.

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Abstract

Expert system can help the experts in diagnose the Respiratory Tract Infection For Toddlers. This research have a purpose to build an expert system for Android with Kotlin language using Variable-Centered Intelligent Rule System and Certainty Factor method, also get the accuracy of it. System’s input is a yes or no answer from Yes-No Question with user. This research use 164 patient data of toddlers at UPTD Kenten Laut Banyuasin Health Center and variables which is symptoms that occurs in toddlers such as cough, cold, hard to breathe, fever, and the results of a physical examination conducted by the expert. Based on test result, the system has 95,52% accuracy when diagnose ISPA case, and 100% accuracy when diagnose Pneumonia case. So, it can be concluded that Variable-Centered Intelligent Rule System and Certainty Factor method can be used to diagnose respiratory infections in toddlers.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Diagnosis Otomatis, Penelusuran Berbasis Aturan
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 9841 not found.
Date Deposited:	13 Jan 2021 06:42
Last Modified:	13 Jan 2021 06:42
URI:	http://repository.unsri.ac.id/id/eprint/39928

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