@thesis{thesis,
		author={Nurfalinda  Nurfalinda and Ritha  Nola and ULFA  SITI NURLIANA},
		title ={PENERAPAN ALGORITMA K-MEDOID UNTUK PENGELOMPOKAN TINGKAT RISIKO IBU HAMIL},
		year={2023},
		url={http://repositori.umrah.ac.id/5582/},
		abstract={In this study, the clustering method was applied using the k-medoids algorithm to process data and classify information about the health status of pregnant women. The data used are data on pregnant women from the Amelia maternity clinic, Tanjungpinang city. With input data namely age, weight, pregnancy status and complaints in pregnant women. From existing data using 3 centroids, this study obtained 9 data on Centroid 1 with normal output, 22 data on Centroid 2 with no risk output and 19 data on Centroid 3 with risky output. With an average shortest distance of 2,50733. where the results of the validation value using the silhouette coefficient index to get a result of -0,2092 which is weakly structures.}
		}