Hidayat, Shafira Zahrah (2025) Implementasi Neural Network Dan Collaborative Filtering Dalam Rekomendasi Pemilihan Program Studi Bagi Siswa Smk Berbasis Mobile. Undergraduate thesis, UPN Veteran Jawa Timur.
![[img]](https://repository.upnjatim.ac.id/style/images/fileicons/text.png) |
Text (Cover)
21081010254-cover.pdf Download (1MB) |
|
Text (Bab 1)
21081010254.-bab1.pdf Download (1MB) |
|
Text (Bab 2)
21081010254.-bab2.pdf Restricted to Repository staff only until 18 March 2028. Download (4MB) |
|
Text (Bab 3)
21081010254.-bab3.pdf Restricted to Repository staff only until 18 March 2028. Download (14MB) |
|
Text (Bab 4)
21081010254.-bab4.pdf Restricted to Repository staff only until 18 March 2028. Download (9MB) |
|
Text (Bab 5)
21081010254.-bab5.pdf Download (496kB) |
|
Text (Daftar Pustaka)
21081010254.-daftar pustaka.pdf Download (817kB) |
|
Text (Lampiran)
21081010254.-lampiran.pdf Restricted to Repository staff only Download (249kB) |
Abstract
The lack of structured career guidance is one of the main challenges for vocational high school (SMK) students in determining their post-graduation path, whether to pursue higher education or enter the workforce. Guidance and Counseling (BK) teachers often face time and resource constraints in providing recommendations that align with each student's potential and interests. This study develops a study program recommendation model based on Neural Network and Collaborative Filtering. The Neural Network method analyzes assessment data and academic scores to predict suitable study programs, while Collaborative Filtering generates additional recommendations based on student profile similarities using Cosine Similarity. Model evaluation results show that the combination of Learning Rate 0.01, Epochs 150, and Latent Factors 30 achieves the best performance with RMSE 0.81 and MAE 0.62, demonstrating high prediction accuracy. Additionally, usability evaluation using the System Usability Scale (SUS) scored 85.7%, indicating excellent system usability. As an implementation of this research, SKANOVA was developed as a mobile-based guidance and counseling application that integrates the proposed recommendation model. This application provides more accurate and relevant study program recommendations for vocational high school students while offering an interactive platform to support digital-based guidance and counseling services.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Contributors: |
|
||||||||||||
| Subjects: | T Technology > T Technology (General) | ||||||||||||
| Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
| Depositing User: | Shafira Zahrah Hidayat | ||||||||||||
| Date Deposited: | 18 Mar 2025 06:10 | ||||||||||||
| Last Modified: | 18 Mar 2025 06:10 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/35765 |
Actions (login required)
 |
View Item |