Classification Of Prospective Scholarship Recipients Kartu Indonesia Pintar (KIP) With Decision Tree Algorithm And Naïve Bayes
The purpose of this study is to produce a model that can assist in determining prospective new students of STMIK AKBA who receive scholarships. The algorithm used is decision tree and nave Bayes to classify the graduation of prospective recipients of the Indonesian Smart Card (KIP) scholarship. Base...
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| Format: | Article |
| Language: | English |
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Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat
2022-12-01
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| Series: | Inspiration |
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| Online Access: | https://ojs.unitama.ac.id/index.php/inspiration/article/view/6 |
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| author | Asnimar Andani Achmad Yuyun Akbar Iskandar Mansyur |
| author_facet | Asnimar Andani Achmad Yuyun Akbar Iskandar Mansyur |
| author_sort | Asnimar |
| collection | DOAJ |
| description | The purpose of this study is to produce a model that can assist in determining prospective new students of STMIK AKBA who receive scholarships. The algorithm used is decision tree and nave Bayes to classify the graduation of prospective recipients of the Indonesian Smart Card (KIP) scholarship. Based on the results of the classification of the decision tree algorithm with the confusion matrix, the accuracy value is 44.12 % and the F1-Score is 34.48 %. If you use the Naive Bayes algorithm, it produces an accuracy value of 76.47 % using data on diploma scores and average report cards. Furthermore, for accuracy without using diploma value data and the average report card is 79.41 %. The results of this study show that nave Bayes has a better performance even though it does not use diploma scores and average report cards. Measurement of the results of the nave Bayes classification with the confusion matrix showed low sensitivity with values of 66.67 % and 58.33 % for the first and second scenarios. Based on the evaluation results, the Naïve Bayes algorithm has a better performance than the Decision Tree algorithm in classifying KIP scholarship recipients. |
| format | Article |
| id | doaj-art-1335f529689c4d6d9723efcdbd3265b6 |
| institution | Kabale University |
| issn | 2088-6705 2621-5608 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat |
| record_format | Article |
| series | Inspiration |
| spelling | doaj-art-1335f529689c4d6d9723efcdbd3265b62025-01-28T05:31:39ZengUniversitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian MasyarakatInspiration2088-67052621-56082022-12-0112211812910.35585/inspir.v12i2.66Classification Of Prospective Scholarship Recipients Kartu Indonesia Pintar (KIP) With Decision Tree Algorithm And Naïve BayesAsnimar0Andani Achmad1Yuyun2Akbar Iskandar3Mansyur4Universitas Teknologi Akba MakassarUniversitas HasanuddinUniversitas HasanuddinUniversitas Teknologi Akba MakassarUniversitas Negeri MakassarThe purpose of this study is to produce a model that can assist in determining prospective new students of STMIK AKBA who receive scholarships. The algorithm used is decision tree and nave Bayes to classify the graduation of prospective recipients of the Indonesian Smart Card (KIP) scholarship. Based on the results of the classification of the decision tree algorithm with the confusion matrix, the accuracy value is 44.12 % and the F1-Score is 34.48 %. If you use the Naive Bayes algorithm, it produces an accuracy value of 76.47 % using data on diploma scores and average report cards. Furthermore, for accuracy without using diploma value data and the average report card is 79.41 %. The results of this study show that nave Bayes has a better performance even though it does not use diploma scores and average report cards. Measurement of the results of the nave Bayes classification with the confusion matrix showed low sensitivity with values of 66.67 % and 58.33 % for the first and second scenarios. Based on the evaluation results, the Naïve Bayes algorithm has a better performance than the Decision Tree algorithm in classifying KIP scholarship recipients.https://ojs.unitama.ac.id/index.php/inspiration/article/view/6classificationdecision treesmart indonesia cardnaïve bayes |
| spellingShingle | Asnimar Andani Achmad Yuyun Akbar Iskandar Mansyur Classification Of Prospective Scholarship Recipients Kartu Indonesia Pintar (KIP) With Decision Tree Algorithm And Naïve Bayes Inspiration classification decision tree smart indonesia card naïve bayes |
| title | Classification Of Prospective Scholarship Recipients Kartu Indonesia Pintar (KIP) With Decision Tree Algorithm And Naïve Bayes |
| title_full | Classification Of Prospective Scholarship Recipients Kartu Indonesia Pintar (KIP) With Decision Tree Algorithm And Naïve Bayes |
| title_fullStr | Classification Of Prospective Scholarship Recipients Kartu Indonesia Pintar (KIP) With Decision Tree Algorithm And Naïve Bayes |
| title_full_unstemmed | Classification Of Prospective Scholarship Recipients Kartu Indonesia Pintar (KIP) With Decision Tree Algorithm And Naïve Bayes |
| title_short | Classification Of Prospective Scholarship Recipients Kartu Indonesia Pintar (KIP) With Decision Tree Algorithm And Naïve Bayes |
| title_sort | classification of prospective scholarship recipients kartu indonesia pintar kip with decision tree algorithm and naive bayes |
| topic | classification decision tree smart indonesia card naïve bayes |
| url | https://ojs.unitama.ac.id/index.php/inspiration/article/view/6 |
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