Skripsi

KLASTERISASI TUGAS AKHIR MAHASISWA FAKULTAS ILMU KOMPUTER UNIVERSITAS SRIWIJAYA MENGGUNAKAN METODE K-MEANS

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Penilaian

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The final project is an important stage in a student's study journey, which often requires exploration and in-depth understanding in a discipline. This research aims to cluster final project topics based on the attributes of student final project titles, especially at the Faculty of Computer Science, Sriwijaya University, using the K-means clustering method. The data analyzed comes from the faculty library in the time span of 2016 to 2023. The data was processed and weighted using TF-IDF method, then reduced using UMAP technique. Topic analysis was also conducted by utilizing the wordcloud generated from the clustering. The clustering results show that the optimal cluster is located in the 7th cluster, with a silhouette score of 0.3515

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407002926	T144592	T1445922024	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1445922024

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer., 2024

Collation

xiv, VI-1 hlm.; ilus.; tab.; 28 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.507

Content Type

Text

Media Type

unmediated

Carrier Type

unspecified

Edition

-

Subject(s)

K-Means
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

UIN Farrah

Other version/related

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