{"title":"PEMANFAATAN ALGORITMA FUZZY NAIVE BAYES DALAM PEMILIHAN BIDANG KEAHLIAN MAHASISWA TEKNIK INFORMATIKA UNIVERSITAS ISLAM LAMONGAN","authors":"Nurul Fuad","doi":"10.30736/jt.v11i2.342","DOIUrl":null,"url":null,"abstract":"One of the factors that can determine the smoothness of students in taking lectures well is the selection of areas of interest in accordance with the abilities of students, meaning that if students determine the choice of majors in accordance with their field of expertise then certainly there will be no difficulty to develop themselves in the lecture process.this study by utilizing two algorithms, namely Fuzzy and Naive Bayes to determine the areas of expertise of students. Informatics Engineering students have the opportunity to choose a field of expertise, namely: the field of network expertise, programming, and design. Not all students will master the area of expertise, so they must choose to accord to their skills, hobbies and favorite subjects, and grades. This research will create a system for classifying the expertise of UNISLA informatics engineering students. The algorithm is implemented, namely Fuzzy to categorize the values or input numbers, while Naïv e Bayes is used for classification","PeriodicalId":17707,"journal":{"name":"Jurnal Qua Teknika","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Qua Teknika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30736/jt.v11i2.342","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
One of the factors that can determine the smoothness of students in taking lectures well is the selection of areas of interest in accordance with the abilities of students, meaning that if students determine the choice of majors in accordance with their field of expertise then certainly there will be no difficulty to develop themselves in the lecture process.this study by utilizing two algorithms, namely Fuzzy and Naive Bayes to determine the areas of expertise of students. Informatics Engineering students have the opportunity to choose a field of expertise, namely: the field of network expertise, programming, and design. Not all students will master the area of expertise, so they must choose to accord to their skills, hobbies and favorite subjects, and grades. This research will create a system for classifying the expertise of UNISLA informatics engineering students. The algorithm is implemented, namely Fuzzy to categorize the values or input numbers, while Naïv e Bayes is used for classification
其中一个因素,可以决定学生的讲课顺利与否,是根据学生的能力选择感兴趣的领域,这意味着,如果学生根据自己的专业领域确定专业的选择,那么肯定不会有困难在讲座过程中发展自己。本研究利用两种算法,即模糊和朴素贝叶斯来确定学生的专业领域。信息工程专业的学生有机会选择一个专业领域,即:网络专业、编程和设计领域。并不是所有的学生都能掌握专业领域,所以他们必须根据自己的技能、爱好、喜欢的科目和成绩来选择。本研究将建立一个分类UNISLA资讯工程学生专业知识的系统。实现算法,即Fuzzy对值或输入数字进行分类,同时使用Naïv e Bayes进行分类