APLIKASI ALGORITMA K-MEANS UNTUK PEMETAAN MINAT NASABAH TERHADAP PRODUK ASURANSI JIWA SYARIAH

APLIKASI ALGORITMA K-MEANS UNTUK PEMETAAN MINAT NASABAH TERHADAP PRODUK ASURANSI JIWA SYARIAH

• By Sismadi,;
• Paradigma
• 119
• 56-64

Potential customer some new how became accustomed to buying that formed through the

changes and interactions that often during a certain period, by agreement between the seller and

buyer. Mapping of potential customers by marketing analysts insurance is less accurate and

difficult when the data storage media owned by large and multi dimensional. These problems

required the mapping model that can classify potential customers against certain insurance

products.Model K-means algorithm can be used to mapping or classify customers based on

profiles that have the potential to be an individual life insurance products with a level of accuracy

reached 30%. Measurement similarity level, homogeneity and errors that are used in this study is

a method of measuring cohesion and variations. Measurement method with a internal

measurement methods with the Sum of Square Error.

• Katakunci specialization, clustering, k-means algorithm, insurance
• URL https://ejournal.bsi.ac.id/ejurnal/index.php/paradigma/article/view/730/605
• Penerbit Jurnal Paradigma, Jakarta DKI Jakarta

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