Penerapan K-Nearest Neighbor dalam Pendeteksian Abcessus
Dublin Core
Title
Penerapan K-Nearest Neighbor dalam Pendeteksian Abcessus
Subject
Kecerdasan Buatan, Sistem Pakar, K-Nearest
Neighhbor, Abcessus
Neighhbor, Abcessus
Description
Abcessus is a collection of neutrophils that do not function anymore and have accumulated in
tissue cavities infected with bacteria or parasites. This disease will cause swelling in the part
of the skin tissue that contains pus and blood, this is due to the spread of skin tissue with
staphylococcus aureus bacteria. The spread of infections carried out by bacteria will result in
the release of toxins that cause inflammation and increase blood flow in the infected place.
The high circulation of the disease among the community requires a concept of knowledge
and information which can later be disseminated to the community so that it can reduce the
risk of spreading this disease and can be done as soon as possible early treatment of people
suffering from Abcessus. The concept of knowledge that will be formed is by transferring all
forms of information and knowledge about Abcessus into the diagnosing application by
applying the Expert System science that uses K-Nearest Neighbor analysis, later the method
can produce the probability value or probability of diagnosing Abcessus for the symptoms that
are felt clinically, of course, the knowledge and probability value of Abcessus will first be
determined by an expert or expert in identifying the Abcessus. With the construction of
diagnostic applications this can be used as a source to be used by the wider community in
dealing with problems regarding diagnosis and knowledge of Abcessus, besides that it can
also be used in the analysis of diagnostic conclusions by health or medical officers.
tissue cavities infected with bacteria or parasites. This disease will cause swelling in the part
of the skin tissue that contains pus and blood, this is due to the spread of skin tissue with
staphylococcus aureus bacteria. The spread of infections carried out by bacteria will result in
the release of toxins that cause inflammation and increase blood flow in the infected place.
The high circulation of the disease among the community requires a concept of knowledge
and information which can later be disseminated to the community so that it can reduce the
risk of spreading this disease and can be done as soon as possible early treatment of people
suffering from Abcessus. The concept of knowledge that will be formed is by transferring all
forms of information and knowledge about Abcessus into the diagnosing application by
applying the Expert System science that uses K-Nearest Neighbor analysis, later the method
can produce the probability value or probability of diagnosing Abcessus for the symptoms that
are felt clinically, of course, the knowledge and probability value of Abcessus will first be
determined by an expert or expert in identifying the Abcessus. With the construction of
diagnostic applications this can be used as a source to be used by the wider community in
dealing with problems regarding diagnosis and knowledge of Abcessus, besides that it can
also be used in the analysis of diagnostic conclusions by health or medical officers.
Creator
Puji Sari Ramadhan
Publisher
Perpustakaan Horizon Karawang
Date
2019
Contributor
Fajar bagus W
Format
PDF
Language
Indonesia
Type
Text
Files
Collection
Citation
Puji Sari Ramadhan, “Penerapan K-Nearest Neighbor dalam Pendeteksian Abcessus,” Repository Horizon University Indonesia, accessed November 22, 2024, https://repository.horizon.ac.id/items/show/3164.