Penerapan Metode I-CHAID Menggunakan SMOTE pada Data Tidak Seimbang untuk Klasifikasi Durasi Studi Mahasiswa
The issue of delayed graduation is often encountered in various universities, including in the Statistics Study Program at Universitas Negeri Gorontalo, for graduates between 2018 and 2023. Among them, 162 students (76.5%) experienced delayed graduation, and 5 students (2.35%) dropped out. This dela...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Department of Mathematics, Universitas Negeri Gorontalo
2025-02-01
|
| Series: | Jambura Journal of Mathematics |
| Subjects: | |
| Online Access: | https://ejurnal.ung.ac.id/index.php/jjom/article/view/27978 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850077372862169088 |
|---|---|
| author | Umar D. Akor Muhammad Rezky Fiesta Payu La Ode Nashar |
| author_facet | Umar D. Akor Muhammad Rezky Fiesta Payu La Ode Nashar |
| author_sort | Umar D. Akor |
| collection | DOAJ |
| description | The issue of delayed graduation is often encountered in various universities, including in the Statistics Study Program at Universitas Negeri Gorontalo, for graduates between 2018 and 2023. Among them, 162 students (76.5%) experienced delayed graduation, and 5 students (2.35%) dropped out. This delay in graduation is caused by various factors, necessitating a classification method capable of identifying the most dominant factors. The classification method used in this research is Improved Chi-Square Automatic Interaction Detection (I-CHAID) with the Synthetic Minority Oversampling Technique (SMOTE) approach. SMOTE is employed to address imbalanced data. Based on the I-CHAID classification tree with the SMOTE approach, the significant factors influencing the duration of study completion are the GPA in the fifth semester (67.2%) and the mentoring method (87.5%). As for the classification performance from the 40% testing data, the accuracy achieved was 40.6%, meaning that out of 32 samples, 13 were correctly classified. The sensitivity value was 6.25%, indicating the success rate of classifying data for students who graduated on time. The specificity value was 75%, showing the success rate in classifying data for students who did not graduate on time. The precision value was 20%, reflecting the accuracy of predicting students who actually graduated on time, and the F-measure was 9.52%, indicating the balance between precision and sensitivity. |
| format | Article |
| id | doaj-art-d33bf10a28ec4238a2ab59bb485b49d2 |
| institution | DOAJ |
| issn | 2654-5616 2656-1344 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Department of Mathematics, Universitas Negeri Gorontalo |
| record_format | Article |
| series | Jambura Journal of Mathematics |
| spelling | doaj-art-d33bf10a28ec4238a2ab59bb485b49d22025-08-20T02:45:49ZengDepartment of Mathematics, Universitas Negeri GorontaloJambura Journal of Mathematics2654-56162656-13442025-02-0171192710.37905/jjom.v7i1.279788884Penerapan Metode I-CHAID Menggunakan SMOTE pada Data Tidak Seimbang untuk Klasifikasi Durasi Studi MahasiswaUmar D. Akor0Muhammad Rezky Fiesta Payu1La Ode Nashar2Universitas Negeri GorontaloUniversitas Negeri GorontaloUniversitas Negeri GorontaloThe issue of delayed graduation is often encountered in various universities, including in the Statistics Study Program at Universitas Negeri Gorontalo, for graduates between 2018 and 2023. Among them, 162 students (76.5%) experienced delayed graduation, and 5 students (2.35%) dropped out. This delay in graduation is caused by various factors, necessitating a classification method capable of identifying the most dominant factors. The classification method used in this research is Improved Chi-Square Automatic Interaction Detection (I-CHAID) with the Synthetic Minority Oversampling Technique (SMOTE) approach. SMOTE is employed to address imbalanced data. Based on the I-CHAID classification tree with the SMOTE approach, the significant factors influencing the duration of study completion are the GPA in the fifth semester (67.2%) and the mentoring method (87.5%). As for the classification performance from the 40% testing data, the accuracy achieved was 40.6%, meaning that out of 32 samples, 13 were correctly classified. The sensitivity value was 6.25%, indicating the success rate of classifying data for students who graduated on time. The specificity value was 75%, showing the success rate in classifying data for students who did not graduate on time. The precision value was 20%, reflecting the accuracy of predicting students who actually graduated on time, and the F-measure was 9.52%, indicating the balance between precision and sensitivity.https://ejurnal.ung.ac.id/index.php/jjom/article/view/27978study durationclassificationimproved chaidsmote |
| spellingShingle | Umar D. Akor Muhammad Rezky Fiesta Payu La Ode Nashar Penerapan Metode I-CHAID Menggunakan SMOTE pada Data Tidak Seimbang untuk Klasifikasi Durasi Studi Mahasiswa Jambura Journal of Mathematics study duration classification improved chaid smote |
| title | Penerapan Metode I-CHAID Menggunakan SMOTE pada Data Tidak Seimbang untuk Klasifikasi Durasi Studi Mahasiswa |
| title_full | Penerapan Metode I-CHAID Menggunakan SMOTE pada Data Tidak Seimbang untuk Klasifikasi Durasi Studi Mahasiswa |
| title_fullStr | Penerapan Metode I-CHAID Menggunakan SMOTE pada Data Tidak Seimbang untuk Klasifikasi Durasi Studi Mahasiswa |
| title_full_unstemmed | Penerapan Metode I-CHAID Menggunakan SMOTE pada Data Tidak Seimbang untuk Klasifikasi Durasi Studi Mahasiswa |
| title_short | Penerapan Metode I-CHAID Menggunakan SMOTE pada Data Tidak Seimbang untuk Klasifikasi Durasi Studi Mahasiswa |
| title_sort | penerapan metode i chaid menggunakan smote pada data tidak seimbang untuk klasifikasi durasi studi mahasiswa |
| topic | study duration classification improved chaid smote |
| url | https://ejurnal.ung.ac.id/index.php/jjom/article/view/27978 |
| work_keys_str_mv | AT umardakor penerapanmetodeichaidmenggunakansmotepadadatatidakseimbanguntukklasifikasidurasistudimahasiswa AT muhammadrezkyfiestapayu penerapanmetodeichaidmenggunakansmotepadadatatidakseimbanguntukklasifikasidurasistudimahasiswa AT laodenashar penerapanmetodeichaidmenggunakansmotepadadatatidakseimbanguntukklasifikasidurasistudimahasiswa |