Sistem Klasifikasi Monitoring dan Evaluasi Kelayakan Penerima Beasiswa UAD Menggunakan Algoritma Naïve Bayes
Kartu Indonesia Pintar (KIP) scholarship program at Ahmad Dahlan University includes a monitoring and evaluation internal process conducted at the end of each semester to monitor scholarship recipients. This allows for an assessment of their eligibility to receive the scholarship in the upcoming sem...
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| Format: | Article |
| Language: | Indonesian |
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STMIK Palangkaraya
2023-09-01
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| Series: | Jurnal Saintekom |
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| Online Access: | https://ojs.stmikplk.ac.id/index.php/saintekom/article/view/428 |
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| author | Dyllan Bagus Siswanto Dwi Normawati |
| author_facet | Dyllan Bagus Siswanto Dwi Normawati |
| author_sort | Dyllan Bagus Siswanto |
| collection | DOAJ |
| description | Kartu Indonesia Pintar (KIP) scholarship program at Ahmad Dahlan University includes a monitoring and evaluation internal process conducted at the end of each semester to monitor scholarship recipients. This allows for an assessment of their eligibility to receive the scholarship in the upcoming semester. The current manual MONEVIN process results in a time-consuming and less objective eligibility analysis. This eligibility determination system is needed, utilizing data mining techniques based on previous KIP scholarship recipient data to make predictions. Naïve Bayes algorithm, a data mining technique employing mathematical probability calculations, is utilized. The process begins with preprocessing, followed by data mining, evaluation, system implementation, and testing using System Usability Scale. The research uses a dataset of 270 student records, employing a 9-fold cross-validation process to split the data. Implemented model is integrated into a website-based system accessible to Biro Kemahasiswaan dan Alumni (BIMAWA). Model testing employs the Confusion Matrix technique, resulting in an accuracy score of 0.985, precision of 0.987, recall of 0.985, and an F-score of 0.985, indicating a favorable classification outcome. The system's eligibility assessment is further tested using the SUS, yielding a score of 90. Therefore, it can be concluded that the developed system is suitable for use. |
| format | Article |
| id | doaj-art-38f1083d331d46adb5cb60e8e73848b7 |
| institution | OA Journals |
| issn | 2088-1770 2503-3247 |
| language | Indonesian |
| publishDate | 2023-09-01 |
| publisher | STMIK Palangkaraya |
| record_format | Article |
| series | Jurnal Saintekom |
| spelling | doaj-art-38f1083d331d46adb5cb60e8e73848b72025-08-20T02:12:29ZindSTMIK PalangkarayaJurnal Saintekom2088-17702503-32472023-09-0113216117210.33020/saintekom.v13i2.428374Sistem Klasifikasi Monitoring dan Evaluasi Kelayakan Penerima Beasiswa UAD Menggunakan Algoritma Naïve BayesDyllan Bagus Siswanto0Dwi Normawati1Universitas Ahmad DahlanUniversitas Ahmad DahlanKartu Indonesia Pintar (KIP) scholarship program at Ahmad Dahlan University includes a monitoring and evaluation internal process conducted at the end of each semester to monitor scholarship recipients. This allows for an assessment of their eligibility to receive the scholarship in the upcoming semester. The current manual MONEVIN process results in a time-consuming and less objective eligibility analysis. This eligibility determination system is needed, utilizing data mining techniques based on previous KIP scholarship recipient data to make predictions. Naïve Bayes algorithm, a data mining technique employing mathematical probability calculations, is utilized. The process begins with preprocessing, followed by data mining, evaluation, system implementation, and testing using System Usability Scale. The research uses a dataset of 270 student records, employing a 9-fold cross-validation process to split the data. Implemented model is integrated into a website-based system accessible to Biro Kemahasiswaan dan Alumni (BIMAWA). Model testing employs the Confusion Matrix technique, resulting in an accuracy score of 0.985, precision of 0.987, recall of 0.985, and an F-score of 0.985, indicating a favorable classification outcome. The system's eligibility assessment is further tested using the SUS, yielding a score of 90. Therefore, it can be concluded that the developed system is suitable for use.https://ojs.stmikplk.ac.id/index.php/saintekom/article/view/428kip scholarship in uaddata miningclassificationnaïve bayesconfusion matrix |
| spellingShingle | Dyllan Bagus Siswanto Dwi Normawati Sistem Klasifikasi Monitoring dan Evaluasi Kelayakan Penerima Beasiswa UAD Menggunakan Algoritma Naïve Bayes Jurnal Saintekom kip scholarship in uad data mining classification naïve bayes confusion matrix |
| title | Sistem Klasifikasi Monitoring dan Evaluasi Kelayakan Penerima Beasiswa UAD Menggunakan Algoritma Naïve Bayes |
| title_full | Sistem Klasifikasi Monitoring dan Evaluasi Kelayakan Penerima Beasiswa UAD Menggunakan Algoritma Naïve Bayes |
| title_fullStr | Sistem Klasifikasi Monitoring dan Evaluasi Kelayakan Penerima Beasiswa UAD Menggunakan Algoritma Naïve Bayes |
| title_full_unstemmed | Sistem Klasifikasi Monitoring dan Evaluasi Kelayakan Penerima Beasiswa UAD Menggunakan Algoritma Naïve Bayes |
| title_short | Sistem Klasifikasi Monitoring dan Evaluasi Kelayakan Penerima Beasiswa UAD Menggunakan Algoritma Naïve Bayes |
| title_sort | sistem klasifikasi monitoring dan evaluasi kelayakan penerima beasiswa uad menggunakan algoritma naive bayes |
| topic | kip scholarship in uad data mining classification naïve bayes confusion matrix |
| url | https://ojs.stmikplk.ac.id/index.php/saintekom/article/view/428 |
| work_keys_str_mv | AT dyllanbagussiswanto sistemklasifikasimonitoringdanevaluasikelayakanpenerimabeasiswauadmenggunakanalgoritmanaivebayes AT dwinormawati sistemklasifikasimonitoringdanevaluasikelayakanpenerimabeasiswauadmenggunakanalgoritmanaivebayes |