KLASIFIKASI PRINCIPAL (NASABAH) MENGGUNAKAN ALGORITMA NAÏVE BAYES PADA PERUSAHAAN ASURANSI XYZ

Maristella, Riama and Kuswardani, Dwina and Siregar, Riki Ruli Affandi (2020) KLASIFIKASI PRINCIPAL (NASABAH) MENGGUNAKAN ALGORITMA NAÏVE BAYES PADA PERUSAHAAN ASURANSI XYZ. Diploma thesis, Institut Teknologi PLN.

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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.

Item Type: Thesis (Diploma)
Uncontrolled Keywords: Keywords: Surety Bond and Counter Bank Guarantee, Principal, Naïve Bayes Algorithm, and Confusion Matrix
Subjects: Skripsi
Bidang Keilmuan > Teknik Informatika
Divisions: Fakultas Telematika Energi > S1 Teknik Informatika
Depositing User: Budi Herdiansyah
Date Deposited: 12 Aug 2025 07:58
Last Modified: 09 Sep 2025 01:48
URI: https://repository.itpln.ac.id/id/eprint/62

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