Sistem Pakar Deteksi Dini Kanker Serviks Berbasis Website Menggunakan Metode Certainty Factor

Putri, Diva Alistya (2025) Sistem Pakar Deteksi Dini Kanker Serviks Berbasis Website Menggunakan Metode Certainty Factor. S1 thesis, Universitas PGRI Madiun.

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Abstract

This study focuses on the design and development of a Web-Based Expert System for the Early Detection of Cervical Cancer, utilizing the Certainty Factor (CF) method to determine the level of confidence in a diagnosis based on the symptoms selected by the user. The system is developed using the Waterfall methodology, which includes stages such as requirements analysis, system design, implementation using the CodeIgniter 4 framework, and testing through the black-box method with a WebQual approach. The main features of the system include symptom consultation, diagnostic results with certainty levels, knowledge base management, and a diagnosis history log. Testing results show that all system features function properly, with an average user satisfaction score of 79.81%, indicating that the system is generally suitable for use. Overall, the system is considered feasible as a decision support tool for the early detection of cervical cancer, as it provides accurate information, is easily accessible, and contributes to raising public awareness about the importance of early screening.

Item Type:	Thesis/Skripsi/Tugas Akhir (S1)
Kata Kunci:	Expert System, Cervical Cancer, Early Detection, Certainty Factor, CodeIgniter, Website
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer) R Medicine > RG Gynecology and obstetrics
Divisions:	Fakultas Teknik > Teknik Informatika
Depositing User:	PUTRI ALISTYA DIVA
Date Deposited:	30 Jul 2025 07:31
Last Modified:	30 Jul 2025 07:31
URI:	http://eprint.unipma.ac.id/id/eprint/3539

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