JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA)
Vol 5 No 1 (2021): April

Identification and Classification of Pathogenic Bacteria Using the K-Nearest Neighbor Method

Diana Rahmawati (Trunojoyo University Madura)
Mutiara Puspa Putri I (Trunojoyo University Madura)
Miftachul Ulum (Trunojoyo University Madura)
Koko Joni (Trunojoyo University Madura)



Article Info

Publish Date
01 Apr 2021

Abstract

Bacteria are a group of living things or organisms that do not have a core covering. In the grouping, some bacteria are pathogenic. With a microscopic size, many pathogenic bacteria are found around and spread through the food eaten or by touching objects around them, then cause diseases such as diarrhea, vomiting, and others. As a more effective effort to help the government and society prevent disease caused by pathogenic bacteria, a system for the identification and classification of pathogenic bacteria K-Nearest Neighbor was created. This system uses a biological microscope that is attached to a webcam camera above the ocular lens as a tool to see bacterial objects and assist in bacterial capture. Rough player rotates automatically (auto-focus) in image capture. In the process of classification and identifying bacteria, the K-Nearest Neighbor method is used, which is a method with the calculation of the nearest neighbor or calculation based on the level of similarity to the dataset. In this study, the bacteria vibrio chlorae, staphylococcus aereus, and streptococcus m. with the highest accuracy is the K = 9 value of 97.77% using the Chebyshev method.

Copyrights © 2021






Journal Info

Abbrev

jeeeu

Publisher

Subject

Electrical & Electronics Engineering

Description

Aim: to facilitate scholar, researchers, and teachers for publishing the original articles of review articles. Scope: Electrical, Electronica, Telecomunication, Medical Electronica, Digital system, Control ...