C4.5算法在保险费迟交分类中的应用

Jefry Antonius Karlia, Wawan Nurmansyah
{"title":"C4.5算法在保险费迟交分类中的应用","authors":"Jefry Antonius Karlia, Wawan Nurmansyah","doi":"10.31001/TEKINFO.V9I2.1090","DOIUrl":null,"url":null,"abstract":"The problem that often arises in insurance companies is the number of customers who do not smoothly pay premiums. The procedure that applies to the insurance during the grace period is 30 days. The insured customer must follow the premium payment procedure, if the customer does not pay the premium, the insurance policy will be canceled, this is part of the company's loss. An insurance company has a lot of data and this data can be processed to produce information on how to find out potential customer delays from a pattern formed using the C4.5 method. This research was conducted by applying the C4.5 algorithm using insurance customer data. The results of this study are a classification system for late payment of insurance premiums that can classify insurance customer premium payment status as a consideration for accepting insurance customers. The system test results show that the system can classify the status of insurance customer premium payments with a classification accuracy of 88%. \nKeywords: Algorithm C 4.5, Insurance, Classification, Premium","PeriodicalId":133456,"journal":{"name":"Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi","volume":"141 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of C4.5 Algorithm for Late Payment Classification of Insurance Premiums\",\"authors\":\"Jefry Antonius Karlia, Wawan Nurmansyah\",\"doi\":\"10.31001/TEKINFO.V9I2.1090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem that often arises in insurance companies is the number of customers who do not smoothly pay premiums. The procedure that applies to the insurance during the grace period is 30 days. The insured customer must follow the premium payment procedure, if the customer does not pay the premium, the insurance policy will be canceled, this is part of the company's loss. An insurance company has a lot of data and this data can be processed to produce information on how to find out potential customer delays from a pattern formed using the C4.5 method. This research was conducted by applying the C4.5 algorithm using insurance customer data. The results of this study are a classification system for late payment of insurance premiums that can classify insurance customer premium payment status as a consideration for accepting insurance customers. The system test results show that the system can classify the status of insurance customer premium payments with a classification accuracy of 88%. \\nKeywords: Algorithm C 4.5, Insurance, Classification, Premium\",\"PeriodicalId\":133456,\"journal\":{\"name\":\"Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi\",\"volume\":\"141 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31001/TEKINFO.V9I2.1090\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31001/TEKINFO.V9I2.1090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

保险公司经常出现的问题是,许多客户不能顺利支付保费。在宽限期内适用于保险的程序为30天。被保险客户必须按照保险费缴纳程序,如果客户不缴纳保险费,保险单将被取消,这是公司的一部分损失。保险公司拥有大量数据,可以对这些数据进行处理,从而产生有关如何从使用C4.5方法形成的模式中发现潜在客户延迟的信息。本研究采用C4.5算法对保险客户数据进行分析。本研究的结果是一个延迟缴纳保费的分类系统,可以将保险客户的保费缴纳状况分类为接受保险客户的考虑因素。系统测试结果表明,该系统能够对保险客户缴费状态进行分类,分类准确率达到88%。关键词:算法c4.5,保险,分类,保费
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Application of C4.5 Algorithm for Late Payment Classification of Insurance Premiums
The problem that often arises in insurance companies is the number of customers who do not smoothly pay premiums. The procedure that applies to the insurance during the grace period is 30 days. The insured customer must follow the premium payment procedure, if the customer does not pay the premium, the insurance policy will be canceled, this is part of the company's loss. An insurance company has a lot of data and this data can be processed to produce information on how to find out potential customer delays from a pattern formed using the C4.5 method. This research was conducted by applying the C4.5 algorithm using insurance customer data. The results of this study are a classification system for late payment of insurance premiums that can classify insurance customer premium payment status as a consideration for accepting insurance customers. The system test results show that the system can classify the status of insurance customer premium payments with a classification accuracy of 88%. Keywords: Algorithm C 4.5, Insurance, Classification, Premium
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Analisis Efektivitas Penerapan Operation Breakdown (OB) di PT. Dan Liris melalui Evaluasi Cycle Time dengan Metode Continuous Improvement Analisis Perencanaan Dan Pengendalian Persediaan Pasokan Bahan Baku Menggunakan Metode Economic Order Quantity Analisis Postur Kerja Pekerja Menggunakan Metode Quick Exposure Check di PT XYZ Penentuan Level Optimum Persediaan Spare Parts di PT. XYZ Menggunakan Minimum Maximum Stock Level (MMSL) Penilaian Postur Kerja Pada Pekerja Bagian Penggorengan Keripik
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1