Penerapan Algoritma K-Means Clustering Data Penduduk Miskin Berdasarkan Desa di Kecamatan Tana Righu

Expert systems are one type of computer technology that is being used by a used in the medical field to assist physicians in patient examinations is expert systems.The goal of this is to improve patient care both now and in the future.system with expertise is an application that replicates how an expert would reason to solve a particular problem or acts similarly to an expert due to its understanding of a knowledge base that has to be processed and its ability to solve problems. An expert system's diagnosis of epilepsy leads to the creation of a system that can offer individuals with the condition a consultation service for the purpose of diagnosing the condition and providing information on treatment options. This is demonstrated by the development of numerous technologies that facilitate the work of numerous parties. One of them is computer-related and uses Expert System Science to assist in the diagnosis of epilepsy. The Certainty Factor approach is employed in this study. Thirteen symptoms and three different forms of epilepsy—general, partial, and secondary—were used in this investigation. The study's findings indicate that, based on the chosen symptoms, the most accurate diagnosis is Partial Primary, Partial Secondary, with a confidence level of 74%, and the most accurate diagnosis is Generalized Epilepsy, with a confidence level of 99%.

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Publication Details

Journal
Polygon Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Published
2024-10-01
DOI
https://doi.org/10.62383/polygon.v2i6.245
Primary Topic
Data Mining and Machine Learning Applications
Type
article
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article

Penerapan Algoritma K-Means Clustering Data Penduduk Miskin Berdasarkan Desa di Kecamatan Tana Righu

Emre Ege, Gergorius Kopong Pati, Arinto Umbu Dasa
Polygon Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Data Mining and Machine Learning Applications
article

Penerapan Algoritma K-Means Clustering Data Penduduk Miskin Berdasarkan Desa di Kecamatan Tana Righu

Emre Ege, Gergorius Kopong Pati, Arinto Umbu Dasa
article en

Abstract

Expert systems are one type of computer technology that is being used by a used in the medical field to assist physicians in patient examinations is expert systems.The goal of this is to improve patient care both now and in the future.system with expertise is an application that replicates how an expert would reason to solve a particular problem or acts similarly to an expert due to its understanding of a knowledge base that has to be processed and its ability to solve problems. An expert system's diagnosis of epilepsy leads to the creation of a system that can offer individuals with the condition a consultation service for the purpose of diagnosing the condition and providing information on treatment options. This is demonstrated by the development of numerous technologies that facilitate the work of numerous parties. One of them is computer-related and uses Expert System Science to assist in the diagnosis of epilepsy. The Certainty Factor approach is employed in this study. Thirteen symptoms and three different forms of epilepsy—general, partial, and secondary—were used in this investigation. The study's findings indicate that, based on the chosen symptoms, the most accurate diagnosis is Partial Primary, Partial Secondary, with a confidence level of 74%, and the most accurate diagnosis is Generalized Epilepsy, with a confidence level of 99%.

Polygon Jurnal Ilmu Komputer dan Ilmu Pengetahuan AlamVol. 2(6)
Fondazione Stella Maris (IT)
Openalex Percentile: Top 67%
Data Mining and Machine Learning Applications
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Penerapan Algoritma K-Means Clustering Data Penduduk Miskin Berdasarkan Desa di Kecamatan Tana Righu — Emre Ege, Gergorius Kopong Pati, et al. · Polygon Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam (2024) | TGRS Research Map | TGRS