Rancang Bangun Clustering Jurusan Kuliah Bagi Siswa Sma Menggunakan Algoritma K-Means

PRADANA, YOUNKY REZA APRILA GHISA (2025) Rancang Bangun Clustering Jurusan Kuliah Bagi Siswa Sma Menggunakan Algoritma K-Means. S1 thesis, Universitas PGRI Madiun.

	Text COVER-REV.pdf Download (439kB)
	Text ABSTRAK.pdf Download (151kB)
	Text BAB I.pdf Download (200kB)
	Text BAB II.pdf Download (609kB)
	Text BAB III.pdf Restricted to Repository staff only Download (359kB)
	Text BAB IV.pdf Restricted to Repository staff only Download (1MB)
	Text BAB V.pdf Download (188kB)
	Text DAFTAR PUSTAKA.pdf Download (196kB)
	Text LAMPIRAN.pdf Restricted to Repository staff only Download (2MB)

Abstract

Many high school students struggle to choose a college major that aligns with their interests, talents, and academic abilities. Misjudging their own potential often leads to selecting the wrong major, which can negatively impact their motivation and academic performance. This study designs a major recommendation system using the K-Means algorithm to cluster students based on academic scores, interests, and talents. The system is expected to assist students and school counselors in determining a more suitable major that matches the student's characteristics. The data processing involves stages such as preprocessing, normalization, and clustering, which then produce a more directed visualization of the major groupings. The results of this system are expected to serve as an additional consideration in students' academic decision-making.

Item Type:	Thesis/Skripsi/Tugas Akhir (S1)
Kata Kunci:	College major; K-Means; clustering; interest; talent; recommendation
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Fakultas Teknik > Teknik Informatika
Depositing User:	APRILA REZA YOUNKY
Date Deposited:	14 Aug 2025 07:47
Last Modified:	14 Aug 2025 07:47
URI:	http://eprint.unipma.ac.id/id/eprint/3805

Actions (login required)

View Item