KLASTERISASI ABSTRAK SKRIPSI MAHASISWA FAKULTAS ILMU KOMPUTER

MAHARANI, ANINDYA DEWI and Jambak, Muhammad Ihsan and Bardadi, Ali (2023) KLASTERISASI ABSTRAK SKRIPSI MAHASISWA FAKULTAS ILMU KOMPUTER. Undergraduate thesis, Sriwijaya University.

	Text RAMA_57201_09031281924058.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (6MB) | Request a copy
	Text RAMA_57201_09031281924058_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (5MB) | Request a copy
	Text RAMA_57201_09031281924058_0205046801_0029068805_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB)
	Text RAMA_57201_09031281924058_0205046801_0029068805_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (727kB) | Request a copy
	Text RAMA_57201_09031281924058_0205046801_0029068805_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_57201_09031281924058_0205046801_0029068805_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_57201_09031281924058_0205046801_0029068805_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (347kB) | Request a copy
	Text RAMA_57201_09031281924058_0205046801_0029068805_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (453kB) | Request a copy
	Text RAMA_57201_09031281924058_0205046801_0029068805_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy

Abstract

Currently, it is often found that the writing of thesis abstracts seems haphazard. The Faculty of Computer Science, Sriwijaya University, as an institution that organizes undergraduate education, is fully committed to improve the quality of its students by using thesis as a benchmark of students' abilities in their field of study. To maintain its consistency in the development of study programs, the Faculty of Computer Science, Sriwijaya University, requires the right strategy in the implementation of the study programs. This research applies the utilization of data mining science in processing the thesis data of computer science students to group thesis abstracts based on study programs (Information Systems, Informatics Engineering, and Computer Systems). Data processing, using the RapidMiner application, produces 3 thesis clusters based on the similarity between thesis abstracts. From the cluster analysis that had been conducted, it was found that each program has different characteristics of thesis abstracts in the form of words that often appear in abstracts. The findings of this study can serve as a guide for students who are currently preparing their thesis and as feedback for their thesis advisors to provide guidance in creating a good abstract.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Data Mining
Subjects:	T Technology > T Technology (General) > T57-57.97 Applied mathematics. Quantitative methods > T57.5 Data processing Cf. HF5548.125+ Business data processing Operations research. Systems analysis
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Users 30061 not found.
Date Deposited:	24 May 2023 06:01
Last Modified:	24 May 2023 06:01
URI:	http://repository.unsri.ac.id/id/eprint/104894

Actions (login required)

View Item