Journal article // Jurnal TICOM






Implementasi Algoritma Apriori Untuk Aplikasi Data Mining Informasi Manfaat Asuransi Jiwa Studi Kasus : Pada PT Azarel Jelia Sejahtera
2013
Wahyu Pramusinto, William Budi Utama Gunawan -. Universitas Budi Luhur

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Abstrak

— Insurance protection cannot be separated from human life. because there will always be a risk in every human activity. Azarel Jelia Sejahtera Company is one of the office agency of Prudential Life Assurance Company (Prudential Indonesia). As The largest company in Indonesia which is engaged in life insurance, business challenges will be heavier and the amount of competition makes companies must constantly innovate and be forefront of this business. The information system is one of the resources that can be used to improve competitive advantage. Information systems can be used to obtain, process, and disseminate information to support daily operations and at support the strategic decision making. The rapid growth of data accumulation has created a data-rich conditions but minimal information. Data mining is mining or the discovery of new information by looking for certain patterns of large amounts of data that are expected to treat the condition. By leveraging customer data, is expected to yield information about the benefits of insurance through data mining techniques. Categories insurance benefits are measured based on age range, gender, and the amount of premium customers. The algorithm used is Apriori algorithm and the information displayed in the form of support and confidence values of each insurance benefits category. Keywords— Data mining, Apriori algorithm, Insurance Benefit.

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  • Eye Icon 302 kali dilihat
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Metrics Icon 302 kali dilihat  //  660 downloads