Adha, Oni Mairul (2024) RANCANG BANGUN SISTEM PAKAR DIAGNOSIS PENYAKIT PADA LAMBUNG MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB. S1 thesis, Universitas PGRI Madiun.
![[img]](http://eprint.unipma.ac.id/style/images/fileicons/text.png) |
Text
HALAMAN DEPAN.pdf Download (710kB) |
|
Text
ABSTRAK.pdf Download (93kB) |
|
Text
BAB I.pdf Download (177kB) |
|
Text
BAB II.pdf Download (267kB) |
|
Text
BAB III.pdf Restricted to Repository staff only Download (215kB) |
|
Text
BAB IV.pdf Restricted to Repository staff only Download (1MB) |
|
Text
BAB V.pdf Download (165kB) |
|
Text
DAFTAR PUSTAKA.pdf Download (227kB) |
|
Text
LAMPIRAN.pdf Download (1MB) |
Abstract
The development of this web-based expert system for diagnosing stomach diseases aims to assist the public in recognizing and diagnosing stomach diseases early. This system utilizes the forward chaining method, which is one of the inference techniques in expert systems, to diagnose based on symptoms input by users. With this approach, the system matches the provided symptoms with the rules in the knowledge base, to subsequently conclude the possible disease the user is experiencing. This research was conducted at Balerejo Hospital, Madiun, over a period of 4 months from April to July 2024, encompassing stages of data collection, problem analysis, system design, system implementation, system testing, and report writing. The knowledge base in this system includes various stomach diseases such as gastritis, peptic ulcers, GERD, stomach cancer, and other diseases. The system development uses PHP programming language and MySQL database to ensure optimal performance and ease of access for users. The test results show that this expert system can provide accurate diagnoses based on the symptoms input by users, as well as recommendations for the next steps that users can take. With this system, it is expected to increase public awareness of stomach health and provide initial solutions that can be taken before further consultation with professional medical personnel.
| Item Type: | Thesis/Skripsi/Tugas Akhir (S1) |
|---|---|
| Kata Kunci: | Expert System; Forward Chaining Method; Website |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science |
| Divisions: | Fakultas Teknik > Teknik Informatika |
| Depositing User: | ADHA MAIRUL ONI |
| Date Deposited: | 26 Aug 2024 06:03 |
| Last Modified: | 26 Aug 2024 06:03 |
| URI: | http://eprint.unipma.ac.id/id/eprint/1826 |
Actions (login required)
 |
View Item |
