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Machine Learning-Based Final Project Title Recommendation System Using Academic Performance Data for Informatics and Computer Engineering Students at Politeknik Negeri Medan
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Machine Learning-Based Final Project Title Recommendation System Using Academic Performance Data for Informatics and Computer Engineering Students at Politeknik Negeri Medan

Category Machine Learning
Created Jan 30, 2026

(Indonesia)
Machine Learning-Based Final Project Title Recommendation System ini dirancang untuk membantu mahasiswa Jurusan Teknik Komputer dan Informatika di Politeknik Negeri Medan dalam menentukan rekomendasi judul tugas akhir berdasarkan nilai akademik mereka. Sistem ini menggunakan data nilai pada mata kuliah inti seperti Web Development, Database, Software Engineering, IoT, Networking, dan UI/UX sebagai dasar analisis.

Sistem dikembangkan menggunakan algoritma Random Forest dengan Python dan Flask untuk menghasilkan rekomendasi bidang dan judul tugas akhir beserta persentase kecocokan secara otomatis. Sistem ini membantu mahasiswa memilih topik yang sesuai dengan kompetensi mereka dan mendukung pengambilan keputusan akademik secara lebih efektif.

(English)
This Machine Learning-Based Final Project Title Recommendation System was developed to help Informatics and Computer Engineering students at Politeknik Negeri Medan select suitable final project titles based on their academic performance. The system uses scores from core subjects such as Web Development, Database, Software Engineering, IoT, Networking, and UI/UX for analysis.

The system is implemented using the Random Forest algorithm with Python and Flask to generate recommended specialization fields and final project titles along with compatibility percentages. This system helps students choose topics that match their competencies and supports more effective academic decision-making.

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