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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Pilar Nusa Mandiri INTI Nusa Mandiri Jurnal Informatika dan Rekayasa Elektronik Jurnal Teknik Informatika (JUTIF) Jurnal Sistem Informasi SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Teknologi Sistem Informasi Jurnal Aruna Mengabdi (ARMI)
Ganda Wijaya, Ganda
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Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Journal : INTI Nusa Mandiri

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PENINGKATAN AKURASI KNN DALAM PREDIKSI KELULUSAN MAHASISWA MELALUI OPTIMASI PARAMETER PSO Desvia, Yessica Fara; Pratama, Febryawan Yuda; Wijaya, Ganda
INTI Nusa Mandiri Vol. 20 No. 1 (2025): INTI Periode Agustus 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v20i1.7076

Abstract

Predicting student graduation is a crucial aspect in supporting academic planning and ensuring timely completion of studies. However, no prior research has specifically applied the integration of K-Nearest Neighbor (KNN) and Particle Swarm Optimization (PSO) for graduation prediction using student data. This study aims to evaluate the effectiveness of combining KNN and PSO in improving classification accuracy. The KNN algorithm is used for classification, while PSO is implemented as a feature selection technique to identify the most relevant attributes. A dataset of 750 student records was processed through data preprocessing and attribute weighting using PSO, followed by model training and evaluation with 10-fold cross-validation. The evaluation results show that the KNN+PSO model improves accuracy from 80.91% to 84.31%, along with increases in precision and recall. These findings indicate that PSO enhances the performance of KNN, particularly in identifying students likely to graduate on time
Co-Authors Achmad Maezar Bayu Aji Adjat Sudradjat Agung Baitul Hikmah Ali Mustopa, Ali Arief Rusman Desvia, Yessica Fara Henny Destiana Herlina, Maria Jajang Jaya Purnama Kahfi, Ahmad Hafidzul Kholifah, Desiana Nur Mahmud Nawawi, Hendri Mochamad Wahyudi Olivia, Shinta Pratama, Febryawan Yuda Rachman Komarudin Ridwansyah Ridwansyah Ristiyani, Lina Ariska Rudianto, Biktra Sugiono, Sugiono Suhardjono S Sumanto, Sumanto Sumarna Suryadithia, Rachmat Tussyifa, Zaqia Verry Riyanto Wawan Setiawan WITRIANA ENDAH PANGESTI Yudhistira Yudhistira Yudhistira