Implementation of Classification Decision Tree and C4.5 Algorithm in selecting Insurance Products

Abstract

Every insurance customer will receive a policy card, as a sign that the person is included in the insurance and is obliged to pay the insurance premium, the amount of which has been determined by the company in accordance with the agreement. Premium payments are Insurance's biggest source of income. Unfavorable economic conditions often cause customers not to pay their premiums by the specified time limit, resulting in a delay in completing the recording of premium income. This research aims to find out the right type of insurance product for prospective customers. The research method used is Classification Decision Tree. Classification Decision Tree is a research method used to examine existing facts systematically based on research objects, existing facts to be collected and processed into data, then explained based on theory so that in the end it produces a conclusion. This research is for selecting the right type of insurance product for prospective customers based on the age and income categories of prospective customers. Insurers must be more careful, especially in selecting prospective customers, and in determining the right type of insurance product for prospective customers so that the power in selecting the right type of insurance product for prospective customers is right at the intended target.

Pemanfaatan Algoritma Decision Tree C4.5 dalam Memprakirakan Hujan di Stasiun Meteorologi Kelas I Sultan Hasanuddin

“…Langkah -langkah utama dalam algoritma Decision Tree C4.5 melibatkan pemilihan fitur terbaik pada setiap langkah untuk memisahkan data ke dalam kelompok yang paling homogen. Pemisahan ini dilakukan berulang -ulang hingga menciptakan pohon keputusan yang dapat digunakan untuk mengambil keputusan dengan mengikuti serangkaian aturan [13], [14] . Decision Tree C4.5 dapat memberikan manfaat yang signifikan dalam prakiraan hujan karena kemampuannya untuk memahami dan memodelkan pola kompleks dalam datadata yang digunakan dalam memprakirakan hujan [15] .…”