Klasifikasi Principal (Nasabah) Menggunakan Algoritma Naïve Bayes Pada Perusahaan Asuransi XYZ
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Maristella, Riama
Kuswardani, Dwina
Siregar, Riki Ruli A.
Kuswardani, Dwina
Siregar, Riki Ruli A.
Subject
Teknik Informatika
Datestamp
2022-09-27 04:16:20
Abstract :
The annual target is a company that must be achieved in a certain amount by selling products or services from that company. XYZ Insurance Company has several productions, but in this study only uses production, namely Surety Bond and Counter Bank Guarantee (KBG). In the current system it is safe to achieve the annual target. The purpose of this study is to facilitate the XYZ insurance company in an annual insurance target with a web-based principle classification information system from 2015 to 2019, and database compilation. The system development method used is a structured method, with the modeling tool used is the Naïve Bayes Algorithm. The software used to determine the level of accuracy is Confusion Matrix and Database Server using XAMPP
The annual target is a company that must be achieved in a certain amount by selling products or services from that company. XYZ Insurance Company has several productions, but in this study only uses production, namely Surety Bond and Counter Bank Guarantee (KBG). In the current system it is safe to achieve the annual target. The purpose of this study is to facilitate the XYZ insurance company in an annual insurance target with a web-based principle classification information system from 2015 to 2019, and database compilation. The system development method used is a structured method, with the modeling tool used is the Naïve Bayes Algorithm. The software used to determine the level of accuracy is Confusion Matrix and Database Server using XAMPP
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