PENGEMBANGAN APLIKASI BERBASIS ARTIFICIAL INTELLIGENCE DALAM REKOMENDASI JALUR PENDIDIKAN BERDASARKAN MINAT DAN KEMAMPUAN SISWA

M. Rizki Andrian Fitra; Neysa Talitha Jehian; Delvita Aulia Artika; Bunga Dwi Febrianti; Adidtya Perdana

doi:10.36002/jutik.v12i1.3959

PENGEMBANGAN APLIKASI BERBASIS ARTIFICIAL INTELLIGENCE DALAM REKOMENDASI JALUR PENDIDIKAN BERDASARKAN MINAT DAN KEMAMPUAN SISWA

Authors

M. Rizki Andrian Fitra Universitas Negeri Medan
Neysa Talitha Jehian Universitas Negeri Medan
Delvita Aulia Artika Universitas Negeri Medan
Bunga Dwi Febrianti Universitas Negeri Medan
Adidtya Perdana Universitas Negeri Medan

DOI:

https://doi.org/10.36002/jutik.v12i1.3959

Keywords:

Artificial intelligence, framework laravel, recommendation system, student interests and abilities

Abstract

Many high school and vocational students in Indonesia experience confusion when choosing a college major due to a lack of understanding of their own potential and limited access to relevant information. This study aims to develop an Artificial Intelligence (AI)-based major recommendation system that is personal, adaptive, and transparent. The system is designed using a Hybrid Recommendation System approach, combining Content-Based Filtering, Rule-Based System, and a Weighted Scoring Algorithm, with weights based on hobbies, academic grades, favorite subjects, personality, and career aspirations. The technologies used include Laravel (backend), Vue.js (frontend), and Python API for the AI component. Trial results with 15 students showed that over 60% of respondents found the system very helpful, while over 30% found it moderately helpful and felt the recommendations aligned with their interests and goals, indicating the system’s effectiveness in supporting educational decision-making. The system is also flexible for further development in terms of both datasets and algorithms. Future enhancements include the integration of personality tests such as MBTI, implementation of feedback-based machine learning, and cross-school testing for broader validation. This system is expected to become a data-driven educational solution that supports digital transformation in the education sector.

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Published

2026-04-01

How to Cite

M. Rizki Andrian Fitra, Neysa Talitha Jehian, Delvita Aulia Artika, Bunga Dwi Febrianti, & Adidtya Perdana. (2026). PENGEMBANGAN APLIKASI BERBASIS ARTIFICIAL INTELLIGENCE DALAM REKOMENDASI JALUR PENDIDIKAN BERDASARKAN MINAT DAN KEMAMPUAN SISWA. Jurnal Teknologi Informasi Dan Komputer, 12(1), 37–48. https://doi.org/10.36002/jutik.v12i1.3959