EKSTRAKSI KATA KUNCI PADA ARTIKEL BERBAHASA INDONESIA MENGGUNAKAN METODE RAKE

MAHARANI, ADYS SYAKHIRA and Yusliani, Novi and Rachmatullah, Muhammad Naufal (2024) EKSTRAKSI KATA KUNCI PADA ARTIKEL BERBAHASA INDONESIA MENGGUNAKAN METODE RAKE. Undergraduate thesis, Sriwijaya University.

[thumbnail of RAMA_55201_09021382126153.pdf] Text
RAMA_55201_09021382126153.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (1MB) | Request a copy
[thumbnail of RAMA_55201_09021382126153_TURNITIN.pdf] Text
RAMA_55201_09021382126153_TURNITIN.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (5MB) | Request a copy
[thumbnail of RAMA_55201_09021382126153_0008118205_0001129204_01_front_ref.pdf] Text
RAMA_55201_09021382126153_0008118205_0001129204_01_front_ref.pdf - Accepted Version
Available under License Creative Commons Public Domain Dedication.

Download (1MB)
[thumbnail of RAMA_55201_09021382126153_0008118205_0001129204_02.pdf] Text
RAMA_55201_09021382126153_0008118205_0001129204_02.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (221kB) | Request a copy
[thumbnail of RAMA_55201_09021382126153_0008118205_0001129204_03.pdf] Text
RAMA_55201_09021382126153_0008118205_0001129204_03.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (237kB) | Request a copy
[thumbnail of RAMA_55201_09021382126153_0008118205_0001129204_04.pdf] Text
RAMA_55201_09021382126153_0008118205_0001129204_04.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (483kB) | Request a copy
[thumbnail of RAMA_55201_09021382126153_0008118205_0001129204_05.pdf] Text
RAMA_55201_09021382126153_0008118205_0001129204_05.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (170kB) | Request a copy
[thumbnail of RAMA_55201_09021382126153_0008118205_0001129204_06.pdf] Text
RAMA_55201_09021382126153_0008118205_0001129204_06.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (8kB) | Request a copy
[thumbnail of RAMA_55201_09021382126153_0008118205_0001129204_07_ref.pdf] Text
RAMA_55201_09021382126153_0008118205_0001129204_07_ref.pdf - Bibliography
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (78kB) | Request a copy
[thumbnail of RAMA_55201_09021382126153_0008118205_0001129204_08_lamp.pdf] Text
RAMA_55201_09021382126153_0008118205_0001129204_08_lamp.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (177kB) | Request a copy

Abstract

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.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Ekstraksi Kata Kunci, Artikel Ilmiah, Rapid Automatic Keyword Extraction.
Subjects: Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76 Computer software
T Technology > T Technology (General) > T1-995 Technology (General)
T Technology > T Technology (General) > T1-995 Technology (General) > T1 Periodicals and societies. By language of publication: English
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Adys Syakhira Maharani
Date Deposited: 07 Jan 2025 03:15
Last Modified: 07 Jan 2025 03:15
URI: http://repository.unsri.ac.id/id/eprint/162757

Actions (login required)

View Item View Item