Skripsi

EKSTRAKSI KATA KUNCI PADA ARTIKEL BERBAHASA INDONESIA MENGGUNAKAN METODE RAKE.

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The increasing number of scientific articles presents a challenge for researchers in quickly accessing relevant information. One of the main challenges is determining efficient keywords. To address this, an automatic keyword extraction system becomes an essential solution, aimed at developing and evaluating methods for keyword extraction to accelerate the search and management of information from scientific articles. This study will perform keyword extraction using a statistical approach through the Rapid Automatic Keyword Extraction (RAKE) method. The results show that the best configuration without cosine similarity in post-processing produced an f-score of 0.0527 (title and abstract) and 0.0066 (entire article), while with cosine similarity, it resulted in an f-score of 0.1312 (title and abstract) and 0.223 (entire article). Although the RAKE method was successfully applied, the results were not optimal.

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Detail Information

Series Title

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Call Number

T1627572024

Publisher

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

Collation

x, 96 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.907

Content Type

Text

Media Type

unmediated

Carrier Type

other (computer)

Edition

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Subject(s)

Prodi Teknik Informatika
Pemrosesan Data Non Elektronik

Specific Detail Info

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Statement of Responsibility

MURZ

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