{"title":"ANALISIS KEPUASAN KONSUMEN TERHADAP KUALITAS PRODUK MENGGUNAKAN ALGORITMA NAIVE BAYES","authors":"Ahmad Suwandi, Rahmat Fauzi","doi":"10.33884/comasiejournal.v9i7.7921","DOIUrl":null,"url":null,"abstract":"Current technological developments have brought changes to human lifestyles, such as lifestyle, selection of antic goods and communication equipment such as smartphones and other devices. Nowadays it is known that the collection of branded items is also a lifestyle trend such as bags, rings, clothes and other fashions. Batam as an industrial city encourages investors to invest in Batam, because Batam is the most strategic city and is an international trade route directly adjacent to Singapore. The problem that often occurs at PT Tas Import Sukses in serving consumers is that the goods sent are not on demand, so consumers suspect that the products traded do not have good quality. And if there is a problem, the company responds with a very slow time. The purpose of this study is to analyze consumer satisfaction with the quality of products at PT Tas Import Sukses using the Naïve Bayes method, to determine the level of consumer satisfaction with the quality of bag products. And the last is to find out the level of accuracy in determining product satisfaction and quality with the Naïve Bayes method. While the results of this study are that satisfaction is strongly influenced by the level of service, while the second order is product quality, where the average level of satisfaction accuracy using the naïve bayes algorithm is 91%, pression 89% and recall 88.33%.","PeriodicalId":500489,"journal":{"name":"Computer and Science Industrial Engineering (COMASIE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer and Science Industrial Engineering (COMASIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33884/comasiejournal.v9i7.7921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Current technological developments have brought changes to human lifestyles, such as lifestyle, selection of antic goods and communication equipment such as smartphones and other devices. Nowadays it is known that the collection of branded items is also a lifestyle trend such as bags, rings, clothes and other fashions. Batam as an industrial city encourages investors to invest in Batam, because Batam is the most strategic city and is an international trade route directly adjacent to Singapore. The problem that often occurs at PT Tas Import Sukses in serving consumers is that the goods sent are not on demand, so consumers suspect that the products traded do not have good quality. And if there is a problem, the company responds with a very slow time. The purpose of this study is to analyze consumer satisfaction with the quality of products at PT Tas Import Sukses using the Naïve Bayes method, to determine the level of consumer satisfaction with the quality of bag products. And the last is to find out the level of accuracy in determining product satisfaction and quality with the Naïve Bayes method. While the results of this study are that satisfaction is strongly influenced by the level of service, while the second order is product quality, where the average level of satisfaction accuracy using the naïve bayes algorithm is 91%, pression 89% and recall 88.33%.
当前的科技发展给人类的生活方式带来了改变,比如生活方式、对古怪商品的选择和通讯设备,比如智能手机等设备。如今,众所周知,收集品牌物品也是一种生活方式的趋势,如包包、戒指、衣服和其他时尚。巴淡岛作为一个工业城市鼓励投资者在巴淡岛投资,因为巴淡岛是最具战略意义的城市,是直接毗邻新加坡的国际贸易路线。PT Tas Import Sukses在服务消费者时经常出现的问题是,所送的商品不是按需的,因此消费者怀疑所交易的产品质量不好。如果出现问题,公司的反应速度非常慢。本研究的目的是使用Naïve贝叶斯方法分析消费者对PT Tas进口Sukses产品质量的满意度,以确定消费者对袋产品质量的满意度水平。最后是利用Naïve贝叶斯方法确定产品满意度和质量的准确度。而本研究的结果是满意度受到服务水平的强烈影响,而第二级是产品质量,其中使用naïve贝叶斯算法的平均满意度水平准确率为91%,减压率为89%,召回率为88.33%。