Integrating K-Means Clustering and K-Nearest Neighbor Classification for Effective Scholarship Recipient Selection

This research is important because public interest in the KIP Kuliah Scholarship continues to increase. However, many educational institutions still use manual selection which is prone to bias and less effective in data management. Therefore, a method is required to make the selection process more e...

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Hlavní autoři:	Suandi Daulay, Rizky Wandri
Médium:	Artigo
Jazyk:	Indonésio
Vydáno:	Islamic University of Indragiri 2025-01-01
Edice:	Sistemasi: Jurnal Sistem Informasi
Témata:	scholarship selection, smart indonesia program, kip college scholarship, k-means method, k-nearest neighbor method
On-line přístup:	https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/4818
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