IMPLEMENTASI K-NEAREST NEIGHBOR UNTUK MENGKLASIFIKASI PENYAKIT PARU-PARU STUDI KASUS RSUD SUKADANA LAMPUNG TIMUR

Septiana, tri utami and Septilia, Arfida (2022) IMPLEMENTASI K-NEAREST NEIGHBOR UNTUK MENGKLASIFIKASI PENYAKIT PARU-PARU STUDI KASUS RSUD SUKADANA LAMPUNG TIMUR. Skripsi thesis, Institut Informatika dan Bisnis Darmajaya.

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Abstract

ABSTRACT IMPLEMENTATION OF K-NEAREST NEIGHBOR FOR CLASSIFICATION OF LUNG DISEASES (A Case Study of Sukadana Hospital East Lampung) Septiana Tri Utami Septianatriutami17@gmail.com Information and communication technology is currently one of the most rapid developments, technological developments can also facilitate work for humans. The internet is one of the most popular developments in information and communication technology, one of the most frequently used functions of the internet is the website. Website is an information page that can be accessed via the internet, the components of the website in the form of text, images, and sound animation. This study used a website as the research base, in which there was an element of data mining using the K-Nearest Neighbor algorithm which was used to determine the type of lung disease. K-Nearest Neighbor is a simple and effective technique in pattern recognition and others. K-Nearest Neighbor can perform training data in large enough quantities. The K-Nearest Neighbor method needs to determine the weight value of each attribute, then proceed with a ranking process that will select the best alternative from a number of alternatives. The software development method in this research used the Waterfall method, the stages of the waterfall are Communication, Planning, Modeling, Construction, Deployment. System development tools using Context Diagrams, DFD (Data Flow Diagrams). The result of this study was a system that could perform the classification process of lung disease data quickly and accurately, especially for the Sukadana Hospital, East Lampung. In addition, this system was designed using the Python Programming Language, Odoo Framework and PostgreSQL. Keywords: K-Nearest Neighbor, Lung Disease, Website

Item Type: Thesis (Skripsi)
Subjects: Ilmu Komputer
eSkripsi
Divisions: Skripsi/TA & PKPM/KP - Fakultas Ilmu Komputer > Teknik Informatika
Depositing User: Septiana tri utami
Date Deposited: 22 Sep 2022 08:51
Last Modified: 22 Sep 2022 08:51
URI: http://repo.darmajaya.ac.id/id/eprint/8789

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