PENERAPAN DATA MINING DENGAN METODE INTERPOLASI UNTUK ESTIMASI PREMI BERDASARKAN PENDAPATAN NASABAH ASURANSI PRUDENTIAL DI YOGYAKARTA
Submitted : 2016-11-30, Published : .
Abstract
Premi in a definition can be interpreted as a fee to be paid by the customer, which is a combination of the overall cost of insurance benefits that used, and sometimes also include the amount of money invested by customers.
The output of the data mining is a customers is accepted according to the prudential value of the estimated premi be gained from the number of customer revenue.
Final project is, created a program of web-based application system to estimate the premi to make it easier for admin (prudential employee) to determine the amount of premi to be paid by the customer. In this program, admin (prudential employee) just need to know the amount of customer’s income that the program will then process the results of the estimated premi.
The test results is concluded that the program estimates the premi can be used easily by the admin (prudential employee) and simplify admin decisions premi estimate to the customer.
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Agus Setiawan, Pengantar Numerik, Andi Offest, Yogyakarta, 2010. Al-Bahra, Ladjamudin, Analisis dan Desain Sistem Informasi, GrahaIlmu, Yogyakarta, 2005. Firrar Utdirartatmo, Clustering, Andi Offset, Yogyakarta , 2009. Hall, Brown, Core Web Programming,The Sun MicrosystemPress, USA, 2001 John H. Mathews, Numerical Methods For Mathematics, Science, And Engineering ( second edition), Prentice Hall International Editions, USA, 2004. Nugroho, Bunafit, Aplikasi Pemrograman Web Dinamis dengan PHP dan MySql, Gava Media, Yogyakarta, 2004 Sani, Susanto, Dedy Suryadi, Pengantar Data Mining, Andi Offset, Yogyakarta, 2010
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