IS implementation and classterization of potential blood donors using the agglomerative hierarchical clustering method

Harnanda, Pratama Ryan and Fahrudin, Tresna Maulana and Damastuti, Natalia (2020) IS implementation and classterization of potential blood donors using the agglomerative hierarchical clustering method. IJEEIT (International Journal of Electrical Engineering and Information Technology), 3 (2). pp. 1-11. ISSN 2615-2096 (ONLINE) 2615-2088 (PRINTED)

	Text Jurnal 4.pdf Download (339kB)
	Text (PeerReview) Jurnal 4.pdf Download (755kB)
	Text (Plagiarism) Jurnal 4 Natalia.pdf Download (2MB)

Abstract

he blood needs of PMI (Indonesian Red Cross) in the Surabaya City area are sometimes erratic, the problem occurs because the amount of blood demand continues to increase while the blood supply is running low. As the main objective of this research, data mining was applied to able to cluster the blood donor data in UTD-PMI Surabaya City Center which was to determine both potential and no potential donors and also visualize the pattern of donor distribution in Geographic Information System (GIS). Agglomerative Hierarchical Clustering was applied to obtain the clustering result from the existing of 8757 donors. The experiment result shown that the cluster quality was quite good which reached 0.6065410 using Silhouette Coefficient. We concluded the one interesting analysis that private male employees with blood type O, and live in the eastern part of Surabaya City are the most potential donors Keywords: Blood Donor, Clustering, Agglomerative Hierarchical Clustering, Data Mining, Geographic Information System

Item Type:	Article
Subjects:	Q Science > Q Science (General)
Divisions:	Fakultas Ilmu Komputer > Sistem Informasi
Depositing User:	Repository Administrator
Date Deposited:	24 May 2022 08:46
Last Modified:	24 May 2022 08:46
URI:	http://repository.narotama.ac.id/id/eprint/1199

Actions (login required)

View Item

["lib/irstats2:embedded:summary_page:eprint:downloads" not defined]