UMM Institutional Repository

SISTEM PAKAR DIAGNOSA PENYAKIT PARU – PARU MENGGUNAKAN METODE CASE BASE REASONING PADA TELEGRAM BOT

Karo, Ahmadu Kaju (2019) SISTEM PAKAR DIAGNOSA PENYAKIT PARU – PARU MENGGUNAKAN METODE CASE BASE REASONING PADA TELEGRAM BOT. Bachelors Degree (S1) thesis, University of Muhammadiyah Malang.

[img]
Preview
Text
PENDAHULUAN.pdf

Download (12MB) | Preview
[img]
Preview
Text
BAB I.pdf

Download (148kB) | Preview
[img]
Preview
Text
BAB II.pdf

Download (116kB) | Preview
[img]
Preview
Text
BAB III.pdf

Download (491kB) | Preview
[img] Text
BAB IV.pdf
Restricted to Registered users only

Download (4MB)
[img] Text
BAB V.pdf
Restricted to Registered users only

Download (58kB)

Abstract

In this study will be discussed on the development of an application expert system of diagnosis of pulmonary disease. In diagnosing pulmonary disease lung, expert system it will use the method of Case Base Reasoning (CBR) on Bot Telegram. CBR uses artificial intelligence (Aritifical Intelegent) that in solving the problem based on their knowledge of the case the case of previously existing in the database. The case of the data used in this study was obtained from case data records or medical record results handling patient or sufferer of lung disease that is diagnosed by lung specialist. Bot Telegram is a computer program that performs specific work automatically to ease the work of man. There were 7 cases of old fruit, and one new cases that will be used to calculate the value of proximity to old cases. The result will give the system output or output in the form of the possibility of disease and treatment suggestions based on the similarity of new cases by case long on knowledge base (knowledge) that owned the system.

Item Type: Thesis (Bachelors Degree (S1))
Student ID: 201210370311209
Keywords: Expert System, Lung Disease, Case Base Reasoning, Telegram Bot.
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: Sulistyaningsih Sulistyaningsih
Date Deposited: 13 Mar 2019 02:24
Last Modified: 13 Mar 2019 02:24
URI : http://eprints.umm.ac.id/id/eprint/45132

Actions (login required)

View Item View Item
UMM Official

© 2008 UMM Library. All Rights Reserved.
Jl. Raya Tlogomas No 246 Malang East Java Indonesia - Phone +62341464318 ext. 150, 151 - Fax +62341464101
E-Mail : infopus[at]umm.ac.id - Website : http://lib.umm.ac.id - Online Catalog : http://laser.umm.ac.id - Repository : http://eprints.umm.ac.id

Web Analytics

UMM Institutional Repository is powered by :
EPrints Logo