Skripsi

EKSTRAKSI KATA KUNCI ARTIKEL ILMIAH DI BIDANG INFORMATIKA MENGGUNAKAN METODE YAKE DAN KPMINER

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Penilaian

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Currently, the abundance of scientific journals is continually growing. Keyword identification can represent the general topics discussed in a journal, but this process requires a deep understanding of the journal's content, which is time-consuming. To address the challenge of formulating keywords, the solution lies in developing an automatic keyword extraction system. One of the approaches used is statistical-based methods, such as Yake and KP Miner. This research aims to perform keyword extraction using the Yake (Yet Another Keyword Extraction) and KP Miner methods, along with an experimental method combining both approaches. The dataset consists of 100 scientific articles collected from various sources. Based on the research findings, the best parameter configuration involves selecting all top candidates using KP Miner, resulting in an F-Score of 0.556.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407004073	T149928	T1499282024	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1499282024

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xvi, vi hlm.; ilus.; tab.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

Text

Media Type

unmediated

Carrier Type

unspecified

Edition

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Subject(s)

Prodi Teknik Informatika
Ekstraksi Kata Kunci

Specific Detail Info

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Statement of Responsibility

UIN YOLA

Other version/related

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