OPTIMASI K-MEANS CLUSTERING UNTUK IDENTIFIKASI DAERAH ENDEMIK PENYAKIT MENULAR DENGAN ALGORITMA PARTICLE SWARM OPTIMIZATION DI KOTA SEMARANG

OPTIMASI K-MEANS CLUSTERING UNTUK IDENTIFIKASI DAERAH ENDEMIK PENYAKIT MENULAR DENGAN ALGORITMA PARTICLE SWARM OPTIMIZATION DI KOTA SEMARANG

Tropical regions is a region endemic to various infectious diseases. At the same time an area of high potential for the presence of infectious diseases. Infectious diseases still a major public health problem in Indonesia. Identification of endemic areas of infectious diseases is an important issue...

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Bibliographic Details
Main Authors: Suhardi Rustam, Heru Agus Santoso, Catur Supriyanto
Format: Article
Language:English
Published: Fakultas Ilmu Komputer UMI 2018-12-01
Series:Ilkom Jurnal Ilmiah
Subjects:
endemic infectious disease
data mining
clustering
k-means
particle swarm optimization
Online Access:http://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/342

Internet

http://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/342

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