Literature Review : Implementasi Algoritma K-Means Clustering Dalam Berbagai Sektor

Janter Tampubolon, Rivaldo
Ariesandes, Thoty
Idlal Hafizd, Muhammad
Hidayatullah, Najwan

Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia
Vol. 2 No. 5 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia

K-Means Clustering is a crucial machine learning algorithm that plays a significant role in modern data analysis and information processing. This research aims to examine the application of K-Means Clustering through a systematic review of scientific journals. The literature study explores the implementation of K-Means in four different fields: public health, education, marketing, and agriculture. The research methodology employed a comparative analysis of published journals, focusing on methodologies, results, and practical implications of clustering algorithm usage. The findings demonstrate that K-Means possesses high flexibility in identifying patterns and supporting cross-domain decision-making processes.