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

Authors

  • Arinto Umbu Dasa Universitas Stella Maris Sumba
  • Gergorius Kopong Pati Universitas Stella Maris Sumba
  • Emirensiana Dappa Ege Universitas Stella Maris Sumba

DOI:

https://doi.org/10.62383/polygon.v2i6.245

Keywords:

K-Means Clustering Algorithm, Population Data, Generalized Epilepsy

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%.

 

 

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References

Amri et al. (2019) dari Stikom Tunas Bangsa, Pemantangsiantar, menekankan pentingnya sistem informasi dalam meningkatkan efektivitas pengawasan di berbagai sektor.

Batubara et al. (2019) melakukan analisis metode k-means dalam pengelompokan area resapan air berdasarkan provinsi, yang menunjukkan bagaimana metode statistik dapat diterapkan dalam pengawasan lingkungan.

Muliono Sembrang (2019) dari Program Studi Teknik Informatika, Universitas Medan, menyoroti pentingnya teknologi informasi dalam proses pengawasan.

Nabila et al. (2021) dari Fakultas Teknik dan Ilmu Komputer, Universitas Teknokrat Indonesia, menunjukkan relevansi sistem informasi dalam mendukung pengambilan keputusan berbasis data.

Vigro et al. (2020) dari Universitas Putra Indonesia, juga membahas pengawasan berbasis data untuk meningkatkan efisiensi pelayanan publik.

Published

2024-10-01

How to Cite

Arinto Umbu Dasa, Gergorius Kopong Pati, & Emirensiana Dappa Ege. (2024). Penerapan Algoritma K-Means Clustering Data Penduduk Miskin Berdasarkan Desa di Kecamatan Tana Righu. Polygon : Jurnal Ilmu Komputer Dan Ilmu Pengetahuan Alam, 2(6), 1–7. https://doi.org/10.62383/polygon.v2i6.245

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