Ardiyansyah, Moh. Angga (2024) PENGEMBANGAN SISTEM REKOMENDASI JURUSAN KULIAH PADA APLIKASI EDUPATH DENGAN METODE TEXT CLASSIFICATION. Project Report (Praktek Kerja Lapang dan Magang). Fakultas Ilmu Komputer, UPN Veteran Jawa Timur. (Unpublished)
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Abstract
Bangkit Academy 2023 By Google, GoTo, Traveloka - Machine Learning Learning Path is one of the certified independent study programs organized by PT Dicoding Indonesia through the MSIB Kampus Merdeka program. This activity takes place for approximately 5 months and involves learning material and the creation of a Capstone Project or Final Project. The activities are conducted online. The Capstone Project that can be chosen is either Product-based or Company-based. This report is created as part of the development of a Product-Based Capstone with the topic of Developing a Course Recommendation System in the Edupath Application Using Text Classification Method. The theme addressed is education, and the name of the application is Edupath. The application is collaboratively developed by a team of 6 members from different learning paths, namely Mobile Developer and Cloud Computing. The creation of this application is motivated by the concerns of some students who choose the wrong major. The authors plan to assist prospective students, especially high school students entering college. Since the authors come from the Machine Learning learning path, this report will only discuss the Machine Learning (ML) aspect of the application.The system is developed using a Text Classification approach with the TF-IDF method and the TensorFlow framework. The application is developed in Python, and Google Colab is used during the development of the system. The author goes through several stages, namely Data Processing, Model Creation, and Model Deployment to the CC (Cloud Computing) and MD (Mobile Developer) parts. The data processing stage begins with data determination. The selected data is in the form of Strings, consisting of the names and descriptions of majors. The data is collected in Microsoft Excel and then processed in Google Colab. The model creation process involves determining which model to use by trying several models. In the end, the chosen model is Sequential, with libraries including TensorFlow , Scikit-learn, and NLTK. TensorFlow is used as the main Framework in program development, Scikit-learn for word processing, and NLTK for limited TF-IDF extraction. The result of creating this model is a system that can predict majors based on the interests and talents described by the user.
| Item Type: | Monograph (Project Report (Praktek Kerja Lapang dan Magang)) | ||||||||
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| Subjects: | T Technology > T Technology (General) | ||||||||
| Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||
| Depositing User: | Moh. Angga Ardiyansyah | ||||||||
| Date Deposited: | 05 Dec 2025 08:43 | ||||||||
| Last Modified: | 05 Dec 2025 08:43 | ||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/47846 |
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