APPLICATION OF NAIVE BAYES CLASSIFIER ALGORITHM IN DETERMINING NEW STUDENT ADMISSION PROMOTION STRATEGIES
Data Mining is a process that uses statistical techniques, mathematics, artificial intelligence, machine learning to extract and identify useful information and related knowledge from large databases. Data mining is the process of finding new patterns in data by filtering large amounts of data. Data...
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| Format: | Article |
| Language: | English |
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Informatics Department, Faculty of Computer Science Bina Darma University
2019-03-01
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| Series: | Journal of Information Systems and Informatics |
| Subjects: | |
| Online Access: | http://journal-isi.org/index.php/isi/article/view/2 |
| _version_ | 1818266049827569664 |
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| author | Ahmad Haidar Mirza |
| author_facet | Ahmad Haidar Mirza |
| author_sort | Ahmad Haidar Mirza |
| collection | DOAJ |
| description | Data Mining is a process that uses statistical techniques, mathematics, artificial intelligence, machine learning to extract and identify useful information and related knowledge from large databases. Data mining is the process of finding new patterns in data by filtering large amounts of data. Data mining uses pattern recognition technology that is similar to statistical techniques and mathematical techniques. The patterns found can provide useful information for generating economic benefits, effectiveness and efficiency. Algorithm Naive Bayes Classifier is one method of data mining that can be used to support effective and efficient promotion strategies. The Naive Bayes Classifier algorithm is used to predict the interest of the study based on the calculations performed. The data used are new student registration data from 2014 until 2016 at Bina Darma University. The results of this study are new models that are expected to provide important information can be used to assist the Marketing Team of Bina Darma University Palembang in policy making and implementation of appropriate marketing strategy. The results obtained are expected to help to support the promotion strategies that impact on the effectiveness and efficiency of promotion and increase the number of new students who will register. |
| first_indexed | 2024-12-12T20:00:32Z |
| format | Article |
| id | doaj.art-a4e8c3ec04ff4232ab6199f64af55c44 |
| institution | Directory Open Access Journal |
| issn | 2656-5935 2656-4882 |
| language | English |
| last_indexed | 2024-12-12T20:00:32Z |
| publishDate | 2019-03-01 |
| publisher | Informatics Department, Faculty of Computer Science Bina Darma University |
| record_format | Article |
| series | Journal of Information Systems and Informatics |
| spelling | doaj.art-a4e8c3ec04ff4232ab6199f64af55c442022-12-22T00:13:46ZengInformatics Department, Faculty of Computer Science Bina Darma UniversityJournal of Information Systems and Informatics2656-59352656-48822019-03-0111142810.33557/journalisi.v1i1.22APPLICATION OF NAIVE BAYES CLASSIFIER ALGORITHM IN DETERMINING NEW STUDENT ADMISSION PROMOTION STRATEGIESAhmad Haidar Mirza0Universitas Bina DarmaData Mining is a process that uses statistical techniques, mathematics, artificial intelligence, machine learning to extract and identify useful information and related knowledge from large databases. Data mining is the process of finding new patterns in data by filtering large amounts of data. Data mining uses pattern recognition technology that is similar to statistical techniques and mathematical techniques. The patterns found can provide useful information for generating economic benefits, effectiveness and efficiency. Algorithm Naive Bayes Classifier is one method of data mining that can be used to support effective and efficient promotion strategies. The Naive Bayes Classifier algorithm is used to predict the interest of the study based on the calculations performed. The data used are new student registration data from 2014 until 2016 at Bina Darma University. The results of this study are new models that are expected to provide important information can be used to assist the Marketing Team of Bina Darma University Palembang in policy making and implementation of appropriate marketing strategy. The results obtained are expected to help to support the promotion strategies that impact on the effectiveness and efficiency of promotion and increase the number of new students who will register.http://journal-isi.org/index.php/isi/article/view/2Data MiningNaive BayesClassification |
| spellingShingle | Ahmad Haidar Mirza APPLICATION OF NAIVE BAYES CLASSIFIER ALGORITHM IN DETERMINING NEW STUDENT ADMISSION PROMOTION STRATEGIES Journal of Information Systems and Informatics Data Mining Naive Bayes Classification |
| title | APPLICATION OF NAIVE BAYES CLASSIFIER ALGORITHM IN DETERMINING NEW STUDENT ADMISSION PROMOTION STRATEGIES |
| title_full | APPLICATION OF NAIVE BAYES CLASSIFIER ALGORITHM IN DETERMINING NEW STUDENT ADMISSION PROMOTION STRATEGIES |
| title_fullStr | APPLICATION OF NAIVE BAYES CLASSIFIER ALGORITHM IN DETERMINING NEW STUDENT ADMISSION PROMOTION STRATEGIES |
| title_full_unstemmed | APPLICATION OF NAIVE BAYES CLASSIFIER ALGORITHM IN DETERMINING NEW STUDENT ADMISSION PROMOTION STRATEGIES |
| title_short | APPLICATION OF NAIVE BAYES CLASSIFIER ALGORITHM IN DETERMINING NEW STUDENT ADMISSION PROMOTION STRATEGIES |
| title_sort | application of naive bayes classifier algorithm in determining new student admission promotion strategies |
| topic | Data Mining Naive Bayes Classification |
| url | http://journal-isi.org/index.php/isi/article/view/2 |
| work_keys_str_mv | AT ahmadhaidarmirza applicationofnaivebayesclassifieralgorithmindeterminingnewstudentadmissionpromotionstrategies |