Jurnal SINTA 2
Prediction of On-time Student Graduation with Deep Learning Method
Journal of ICT Research and Applications (JICTRA) · Vol. 18 No. 1 (2024) · pp. 1–20
- ISSN
- 2338-5499, 2337-5787
- Published
- 2024-06-27
- Publisher
- DRI - ITB
- Language
- eng
Abstract
Universities have an important role in providing quality education to their students so they can build a foundation for their future. However, a problem that often arises is that the process experienced will be different for each individual. Therefore, it is necessary to apply on-time graduation predictions for students with academic attributes in the hope that educational institutions can better understand student conditions and maximize on-time student graduation. In this study, a deep learning method was implemented to help predict on-time graduation for students at the Faculty of Computer Science, University of Brawijaya. Based on the test results and hyperparameter tuning using Optuna, the best hyperparameter configuration for the deep learning method consisted of number of layer combinations = 4; first-layer nodes = 118; first dropout = 0.3393; second-layer nodes = 83; second dropout = 0.0349; third-layer nodes = 88; third dropout = 0.0491; fourth-layer nodes = 65; fourth dropout = 0.4169; number of epochs = 244; learning rate = 0.0710; and optimizer = SGD. Thus, an accuracy rate of 86.61% was achieved for the two classes of the test data set, i.e., on-time graduation and not on-time graduation.
Keywords
Collaboration network of the authors
40 authors · 72 co-authorship links · 4 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Brawijaya
- Institut Teknologi Sepuluh Nopember
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Fajar Pradana | University of Brawijaya | 10 |
| Retno Indah Rokhmawati | University of Brawijaya | 3 |
| Satrio Agung Wicaksono | University of Brawijaya | 3 |
| Bayu Priyambadha | University of Brawijaya | 2 |
| Achmad Basuki | University of Brawijaya | 2 |
| Imam Cholissodin | University of Brawijaya | 2 |
| Fitri Utaminingrum | University of Brawijaya | 2 |
| Novanto Yudistira | University of Brawijaya | 2 |
| Herman Tolle | University of Brawijaya | 2 |
| Aisyah Awalina | University of Brawijaya | 2 |
| Putra Pandu Adikara | University of Brawijaya | 2 |
| Tri Hadiah Muliawati | Institut Teknologi Sepuluh Nopember | 1 |
| Reddy Alexandro | Institut Teknologi Sepuluh Nopember | 1 |
| Joseph Ananda Sugihdharma | University of Brawijaya | 1 |
| Chastine Fatichah | Institut Teknologi Sepuluh Nopember | 1 |
| Diana Purwitasari | Institut Teknologi Sepuluh Nopember | 1 |
| Rochmat Setiyawan | University of Brawijaya | 1 |
| Budi Darma Setiyawan | University of Brawijaya | 1 |
| Ari Hernawan | University of Brawijaya | 1 |
| Aditya Rachmadi | University of Brawijaya | 1 |
| Wayan Firdaus Mahmudy | University of Brawijaya | 1 |
| Ghenniy Rachmansyah | University of Brawijaya | 1 |
| Aulia Akhrian Syahidi | University of Brawijaya | 1 |
| Fajerin Biabdillah | University of Brawijaya | 1 |
| Nanang Yudi Setiawan | University of Brawijaya | 1 |
| Iqbal Taufiq Ahmad Nur | University of Brawijaya | 1 |
| Indra Syahputra | University of Brawijaya | 1 |
| Bayu Sutawijaya | University of Brawijaya | 1 |
| Mochammad Dearifaldi Al Ikhsan | University of Brawijaya | 1 |
| Sulandri Sulandri | University of Brawijaya | 1 |
| Rona Salsabila | University of Brawijaya | 1 |
| Muhammad Zulfikarrahman | University of Brawijaya | 1 |
| Diva Fardiana Risa | University of Brawijaya | 1 |
| Aisyatul Maulidah | University of Brawijaya | 1 |
| Intan Yusuf Habibie | University of Brawijaya | 1 |
| Budi Darma Setiawan | University of Brawijaya | 1 |
| Muhammad Nugraha Delta Revanza | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.