Putri, Heria Yunita and , Umi Fadlilah, S.T., M.Eng. (2018) Komparasi Data Mining Untuk Memprediksi Minat Klien Dalam Memilih Produk Asuransi Pendidikan (Studi pada PT. AJB Bumiputera 1912 Karanganyar). Skripsi thesis, Universitas Muhammadiyah Surakarta.
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Abstract
Education Insurance PT AJB Bumiputera 1912 is classified into 2 kind of products namely mitra beasiswa and mitra cerdas. Data mining is society data warehouse solution which is beneficial for the company to find the important information. The study aims at helping the company to offer the products so that the product quality is maintained through analysing the raw data of the insurance company to encounter the influenced factor toward clients’ interest on education insurance products by using comparison of three methods algorithm of data mining. Algorithm of data mining used is algoritm method of information gain, gain ratio and rule induction. On data analysis is assisted by rapid manner application to know the accuracy result, precision result and recall result. The used attributes are kinds of insurances (X1), payment method (X2), sum insured (X3), premium (X4) and interest (Y). The result of the implemented study gains the percentage of accuracy, precision and recall on information gain and gain ratio method have same high percentages compared with rule induction method with its percentage of accuracy is 85, 69% while precision is 99, 18% and recall is 54, 50%. Information gain and gain ratio methods on this study become equally superior. The sum insured variable is the most influential variable in the terms of clients’ interest in choosing the education insurance products. Therefore, the offered education insurance of the company should pay more attention to the amount of money insured towards the premium that is paid to keep the products quality both of mitra cerdas insurance or mitra beasiswa.
| Item Type: | Karya ilmiah (Skripsi) |
|---|---|
| Uncontrolled Keywords: | data mining, gain ratio, information gain, insurance, rule induction |
| Subjects: | L Education > L Education (General) T Technology > TN Mining engineering. Metallurgy |
| Divisions: | Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika |
| Depositing User: | HERIA YUNITA PUTRI |
| Date Deposited: | 01 Feb 2018 01:07 |
| Last Modified: | 01 Feb 2018 01:07 |
| URI: | http://eprints.ums.ac.id/id/eprint/58838 |
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