PENERAPAN ALGORITMA NAIVE BAYES UNTUK KLASIFIKASI KETERLAMBATAN PEMBAYARAN PREMI ASURANSI

Karlia, Jorgi Antonius (2022) PENERAPAN ALGORITMA NAIVE BAYES UNTUK KLASIFIKASI KETERLAMBATAN PEMBAYARAN PREMI ASURANSI. Undergraduate thesis, Universitas Katolik Musi Charitas Palembang.

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Abstract

As social beings, humans essentially need to carry out various activities of social life, namely interacting between one individual and another while living in this world. Every activity in human life always contains risk. Risk cannot be eliminated but can be minimized in many ways, one of which is by utilizing insurance facilities. The problem that often arises in insurance companies is the number of customers who are in arrears in paying premiums. In the procedure applied in insurance, there is a grace period for payment of 30 days during which the customer/insured must pay a predetermined amount of premium and if the customer/insured does not pay the premium, the insurance policy will be canceled so that the profits of PT. Asuransi Etiqa International Indonesia will be reduced. This research was conducted by applying the Naive Bayes algorithm. The results of this study are a classification system for late payment of insurance premiums that can classify the status of premium payments for insurance customers. The system test results show that the system can classify the premium payment status of insurance customers with an accuracy rate of 86.5%, then the resulting precision level is 86.9% and the resulting recall is 99.4%. Keywords : Naive Bayes, Classification, Insurance, Premium

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