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All Journal Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Aditya Putra Maulana
Universitas Pamulang

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Sistem Rekomendasi Bidang Program Studi Menggunakan Algoritma K-Nearest Neighbor Berbasis Web Aditya Putra Maulana; Samsoni; Aprinia Handayani
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 6 No. 2 (2026): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v6i2.12201

Abstract

Selecting a suitable study field is a recurring challenge for final-year senior high school students because the choice affects their academic path and career orientation. At SMA Negeri 5 Tangerang Selatan, counseling activities require a data-supported instrument that can provide an initial view of students’ possible study-field tendencies. This research designed a web application that applies the K-Nearest Neighbor approach to compare student academic scores with alumni records that already contain known study-field labels. The application was built through the Waterfall development stages using Python, Flask, SQLite, HTML, CSS, and JavaScript. The research data comprised 450 alumni records with four academic attributes: Mathematics, Indonesian Language, English, and Science/Social Studies. Classification was performed through data preparation, Min-Max scaling, distance measurement with Euclidean Distance, selection of nearest neighbors, and majority voting. The algorithm was tested using 10-fold cross validation and a confusion matrix for K values of 1, 3, 5, 7, 9, 11, 13, and 15. The highest result appeared at K=11, with 25.11% accuracy, 25.21% precision, 24.65% recall, and 24.68% F1-score. These findings indicate that the application is more appropriate as supporting information for counseling discussions than as a sole basis for determining study choices.
Co-Authors Aprinia Handayani Samsoni