CLUSTERING ARTIKEL ILMIAH BERBAHASA INDONESIA MENGGUNAKAN ALGORITMA PARTITIONING AROUND MEDOIDS

SURYANI, PRISTI KARTIKA and Utami, Alvi Syahrini and Rachmatullah, Muhammad Naufal (2024) CLUSTERING ARTIKEL ILMIAH BERBAHASA INDONESIA MENGGUNAKAN ALGORITMA PARTITIONING AROUND MEDOIDS. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021181924017.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (5MB) | Request a copy
	Text RAMA_55201_09021181924017_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy
	Text RAMA_55201_09021181924017_0022127804_0001129204_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (2MB)
	Text RAMA_55201_09021181924017_0022127804_0001129204_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (285kB) | Request a copy
	Text RAMA_55201_09021181924017_0022127804_0001129204_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (64kB) | Request a copy
	Text RAMA_55201_09021181924017_0022127804_0001129204_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (819kB) | Request a copy
	Text RAMA_55201_09021181924017_0022127804_0001129204_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_55201_09021181924017_0022127804_0001129204_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (8kB) | Request a copy
	Text RAMA_55201_09021181924017_0022127804_0001129204_07_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (195kB) | Request a copy

Abstract

A scientific article is a type of written work by a researcher after successfully conducting research in a particular field, which is arranged systematically based on writing rules. Each scientific article contains important information from various scientific fields, one of which is computer science. In this research, an automatic clustering software for scientific articles in Indonesian was built, where the data used was the abstract of each computer science scientific article. Clustering is a method for grouping objects into several clusters so that each cluster contains objects that are similar based on certain categories. In this research, the clustering process was carried out to find out words that often and rarely appear in computer science scientific articles. The methods used in software development begin with the text preprocessing process, word weighting with TF-IDF, searching for the best k value with Silhouette Score, and the clustering process with the Partitioning Around Medoids algorithm, better known as k-Medoids. The experimental results of the software that has been built were the formation of 10 optimal clusters in the first experiment using the best k value (k=10 with a Silhouette Score of 0.7123), and the formation of 1 cluster in the second experiment using k=2 (with a Silhouette Score of 0). This software also has good performance, as seen in every experimental process carried out.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	clustering, scientific article, k-medoids
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Pristi Kartika Suryani
Date Deposited:	29 Apr 2024 01:44
Last Modified:	29 Apr 2024 01:44
URI:	http://repository.unsri.ac.id/id/eprint/143471

Actions (login required)

View Item