TA : Rancang Bangun Sistem Pengelompokan Pelanggan Potensial Menggunakan Metode K-Means untuk Promosi Paket Wisata (Studi Kasus PT. Bali Sinar Mentari)

Krisnawan, I Putu Agus Hendra (2012) TA : Rancang Bangun Sistem Pengelompokan Pelanggan Potensial Menggunakan Metode K-Means untuk Promosi Paket Wisata (Studi Kasus PT. Bali Sinar Mentari). Undergraduate thesis, STIKOM Surabaya.

	Text Cover.pdf - Accepted Version Download (134kB)
	Text Abstrak.pdf - Accepted Version Download (124kB)
	Text Daftar_Isi.pdf - Accepted Version Download (126kB)
	Text Bab_I.pdf - Accepted Version Download (137kB)
	Text Bab_II.pdf - Accepted Version Download (182kB)
	Text Bab_III.pdf - Accepted Version Download (1MB)
	Text Bab_IV.pdf - Accepted Version Download (3MB)
	Text Bab_V.pdf - Accepted Version Download (144kB)
	Text Daftar_Pustaka.pdf - Accepted Version Download (143kB)

Search this title on : |

Abstract

PT. Bali Sunshine is a company specializing in the field of business travel services in Bali. In a company like this, awarding promotions is one of the important factors in helping sales of services to the customer. Problem arising is the manager have difficulty in conducting elections in order to figure out which customers are right to be given a promotion for to be right on target. Such a system is needed that can be clustered to provide potential customers in the promotion via email. The customer can use the clustering method for K-Means. The K-Means method is a method of clustering data by taking a number of parameter k clusters, and to partition the data into the center of the cluster, the cluster is the average of the value member of the cluster centroid or it called center of gravity (Kamber, 2007). This method must use the physical data, not abstract and are clear, this corresponds to the data that will be used on the issue within a clustering of customers in PT. Bali Sinar Mentari. From the results of tests conducted against tourism packages by using the Ahimsa 2D with two clusters and three cluster from 199 customers and 555 transactions data, customers clustering system by K-Means method can perform clustering of groups of potential customers which generate on PT. Bali Sunshine.

Export Record

ASCII Citation Atom BibTeX Dublin Core EP3 XML EndNote HTML Citation JSON METS MODS MPEG-21 DIDL OpenURL ContextObject OpenURL ContextObject in Span RDF+N-Triples RDF+N3 RDF+XML Refer Reference Manager Simple Metadata

Download Statistics

Downloads over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Actions (login required)

View Item