Metode Forward Chaining untuk Diagnosa dan Penanganan Penyakit Stroke dengan Sistem Pakar

Diana, Rhima (2024) Metode Forward Chaining untuk Diagnosa dan Penanganan Penyakit Stroke dengan Sistem Pakar. Undergraduate thesis, Politeknik Negeri Bengkalis.

[img] Text (Abstract)
1. TA-6304201241-Abstract.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (45kB)
[img] Text (Bab I Pendahuluan)
2. TA-6304201241-Bab I Pendahuluan.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (54kB)
[img] Text (Daftar Pustaka)
3. TA-6304201241-Daftar Pustaka.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (51kB)
[img] Text (Full Text)
4. TA-6304201241-Full Text.pdf - Submitted Version
Restricted to Registered users only
Available under License Creative Commons Attribution Share Alike.

Download (2MB) | Request a copy

Abstract

This research aims to develop a web-based expert system with the Forward Chaining method that can diagnose and provide treatment for people with stroke disease. The expert system will be used to help the diagnosis process by analyzing the symptoms reported by the patient. The Forward Chaining method will be used as an inference approach in this expert system. The system will use a knowledge base that contains medical rules obtained from experts. The inference process will be carried out by linking the symptoms reported by the patient with the information in the knowledge base to determine possible diagnoses and appropriate treatments. This expert system will be implemented in the form of a web-based application that can be accessed by the general public. The results of this study show that the expert system to diagnose and provide treatment using the forward chaining method is successfully built and the application can be used to help the general public diagnose by entering the symptoms felt and the expert system will provide diagnostic results and provide treatment.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsEmailNIDN/NIDK
Thesis advisorFiska, Ryci Rahmatilrycirf@polbeng.ac.idNIDN1011079101
Uncontrolled Keywords: Forward Chaining, Stroke, Web, Diagnosis, Treatment
Subjects: 410 ILMU TEKNIK > 450 TEKNIK ELEKTRO DAN INFORMATIKA > 458 Teknik Informatika
Divisions: Jurusan Teknik Informatika > Sarjana Terapan Rekayasa Perangkat Lunak > TUGAS AKHIR
Depositing User: Rekayasa Perangkat Lunak A 2024
Date Deposited: 23 Aug 2024 13:47
Last Modified: 23 Aug 2024 13:47
URI: http://eprints.polbeng.ac.id/id/eprint/13492

Actions (login required)

View Item View Item