Parallel Computing pada Clustering K-Means untuk Analisis Keketatan Program Studi SNBT 2023

Parallel Computing pada Clustering K-Means untuk Analisis Keketatan Program Studi SNBT 2023

Penelitian ini bertujuan untuk menganalisis keketatan program studi pada data SNBT tahun 2023 menggunakan metode Knowledge Discovery in Databases (KDD) dan algoritma K-Means Clustering. Keketatan program studi diukur berdasarkan rasio antara jumlah pendaftar dan daya tampung, mencerminkan tingkat pe...

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Bibliographic Details
Main Authors:	Alif Faturahman Firdaus, Azzahra Fahriza Fitriani, Eddy Prasetyo Nugroho3
Format:	Article
Language:	Indonesian
Published:	Program Studi Sistem Komputer 2025-05-01
Series:	Komputika
Online Access:	https://ojs.unikom.ac.id/index.php/komputika/article/view/14983
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